From e69a87e290fdfd285128b1e0240551f56807c315 Mon Sep 17 00:00:00 2001 From: MonikaFu Date: Thu, 30 Nov 2023 17:00:47 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20RMI-PACT?= =?UTF-8?q?A/r2dii.plot@2e305fe261299a9d8da3bceac0e84825822f6774=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev/apple-touch-icon-120x120.png | Bin 3287 -> 3287 bytes dev/apple-touch-icon-152x152.png | Bin 4250 -> 4250 bytes dev/apple-touch-icon-180x180.png | Bin 4997 -> 4997 bytes dev/apple-touch-icon-60x60.png | Bin 1741 -> 1741 bytes dev/apple-touch-icon-76x76.png | Bin 2177 -> 2177 bytes dev/apple-touch-icon.png | Bin 4997 -> 4997 bytes dev/articles/r2dii-plot.html | 2 +- .../figure-html/unnamed-chunk-10-1.png | Bin 94230 -> 94153 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 55433 -> 56635 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 105911 -> 106039 bytes dev/favicon-16x16.png | Bin 777 -> 777 bytes dev/favicon-32x32.png | Bin 1355 -> 1355 bytes dev/pkgdown.yml | 2 +- dev/reference/plot_trajectory-2.png | Bin 59514 -> 59531 bytes dev/reference/qplot_trajectory-1.png | Bin 106605 -> 106620 bytes dev/search.json | 2 +- 16 files changed, 3 insertions(+), 3 deletions(-) diff --git a/dev/apple-touch-icon-120x120.png b/dev/apple-touch-icon-120x120.png index 8adf2947558039854d863d7db624f57abdfbe086..6cd0741446360b50f014918d917bd3bfa5faf03a 100644 GIT binary patch delta 94 zcmcaEd0lcs6^EQ417lV~=C_Sa3%K2k4MGgftqcsT3=FkFq`{;Q$2T!BFsPQeMwFx^ hmZVzc=BH$)RWcYE7#Zst8tP(bc)YfrZ*m4tJ^*=G9DM)) delta 94 zcmcaEd0lcs6^AUZxyS_L8<#gWE#P)DvJ5dawlX!fGBVIMFt9Q(sNTU`#=yX!TH+c} jl9E`GYL%Oxl9^V?U}RuqtZQhfi=lz*>F!gLGkEd=V>uix diff --git a/dev/apple-touch-icon-152x152.png b/dev/apple-touch-icon-152x152.png index de1b85f95d6e88989fc331f0d09076bee8effcfc..019233bf64feb04dfc55e79312798ba32a7fe04b 100644 GIT binary patch delta 71 zcmbQGI7@Lt6^EQ419M9r$E}S`$^4?m1|f##Rt5%E2FBVT(ttJp+U&`{_+>C>r|^Z&*sKOr|G%Me3jD^pV|BO`4C11kfAH|j$13=9maC9V-A jDTyViR=N2pnQ4^_Mg~U4x`u|j7#ikQt$I9JOgJ9^7G4`7 diff --git a/dev/apple-touch-icon-60x60.png b/dev/apple-touch-icon-60x60.png index 158ec946136a2a9cbdfdb3e2cdfc8b16f4f1c3d7..bc06b4873b07ef21b746729a25c059a6fbd8ac54 100644 GIT binary patch delta 71 zcmX@hdzN=X6^ERFwe>_9Q}2yU(^y4~4MGgftV}I|NZY``%D`Z!_RT$$b=hPvWloeO KGE9zR%Lf4GPZSma delta 71 zcmX@hdzN=X6^AUZxlm<5?X!(d(^y4~EJF;9txQd=3@x+`46FnFd-acubjCA$_H diff --git a/dev/apple-touch-icon-76x76.png b/dev/apple-touch-icon-76x76.png index 5bc4cffd308663fac727818adc5ea24422db4ed3..5f6c8f8b7a26502e91348761948fddfaa1d79241 100644 GIT binary patch delta 71 zcmZn^Y!sYO#UUriz#y9*nXs|Ri(S;%AjHtz%D@1Kw85lF`x&;$57}ifWn6ES?3ygZ Gkq-cgxf0F* delta 71 zcmZn^Y!sYO#UaaUF3cD1Td=Xoi(S;nGQ`l>%GA`#&{EsLz{715<4fX^^)6@j?a$2GtVRh?11V hl2ohQ{FKbJN(LhXBV%1dLtP9F;*X+bCyNQ^0{|5X8d?AV delta 94 zcmZowZ&jaA#UaaUE-|xp%8!jrenM_WmLZ15R;H#_Mkd+@237_J{omD785kH;OI#yL jQW8s2t#b2IGSeyfj diff --git a/dev/articles/r2dii-plot.html b/dev/articles/r2dii-plot.html index 0431977e..4ff2299c 100644 --- a/dev/articles/r2dii-plot.html +++ b/dev/articles/r2dii-plot.html @@ -504,7 +504,7 @@

Styling functions
-technologies <- c("coalcap", "oilcap", "gascap", "hydrocap", "renewablescap")
+technologies <- c("coalcap", "oilcap", "gascap", "nuclearcap", "hydrocap", "renewablescap")
 
 data <- market_share %>%
   filter(
diff --git a/dev/articles/r2dii-plot_files/figure-html/unnamed-chunk-10-1.png b/dev/articles/r2dii-plot_files/figure-html/unnamed-chunk-10-1.png
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diff --git a/dev/search.json b/dev/search.json
index 61b5cd08..5c110921 100644
--- a/dev/search.json
+++ b/dev/search.json
@@ -1 +1 @@
-[{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 r2dii.plot authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"quick-plots","dir":"Articles","previous_headings":"","what":"‘Quick’ plots","title":"r2dii.plot","text":"Quick plots allow create good looking plot without extensive knowledge R packages. perfect quick look data users interested standard PACTA visualizations. common characteristics : 5 year time span. Formatted data labels. Formatted axis labels scales. title (subtitle). Use qplot_emission_intensity() sda-like data.  Use qplot_trajectory() market_share-like data.  Use qplot_techmix() market_share-like data.","code":"data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  qplot_emission_intensity(data) data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\"   )  qplot_trajectory(data) data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     sector == \"power\",     region == \"global\",     scenario_source == \"demo_2020\",     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\")   )  qplot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plots","dir":"Articles","previous_headings":"","what":"Plots","title":"r2dii.plot","text":"Plots created plot_*() functions show data . customize plots can use three strategies: Use parameters plot_*() functions, Modify input data, Use ggplot2 functions. following sub sections show three strategies applied different functions plot_*() family.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plot-customization-strategies-1-and-3-parameters-and-ggplot2-functions","dir":"Articles","previous_headings":"Plots","what":"Plot customization strategies 1 and 3: parameters and ggplot2 functions","title":"r2dii.plot","text":"show might customize plot using strategy 1 3 based plot_emission_intensity(). basic output function looks rather unappealing.  can use parameters plot_emission_intensity() replicate features qplot_emission_intensity()(strategy 1), add plot labels ggplot2::labs() (strategy 3).","code":"data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  plot_emission_intensity(data) #> Warning: The `data` argument of `plot_emission_intensity()` must be prepped already as #> of r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_emission_intensity(data)` prior to calling #>   `r2dii.plot::plot_emission_intensity()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  plot_emission_intensity(data, convert_label = to_title, span_5yr = TRUE) +   labs(     title = \"Emission Intensity Trend for the Cement Sector\",     x = \"Year\",     y = \"Tons of CO2 per Ton of Production Unit\"   )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plot-customization-strategies-2-and-3-input-data-and-ggplot2-functions","dir":"Articles","previous_headings":"Plots","what":"Plot customization strategies 2 and 3: input data and ggplot2 functions","title":"r2dii.plot","text":"can also polish plot modifying input data (strategy 2), example: Changing time span. Adding custom labels adding column ‘label’ ‘label_tech’ market_share-like data. modifying output ggplot object (strategy 3), example: Adding title subtitle using ggplot2::labs(). Changing x y axis labels using ggplot2::labs(). Customizing colours legend labels ggplot2::scale_colour_manual() r2dii.plot::scale_*() functions (see Styling functions). might customize three kinds plots using strategy 2 3: plot_emission_intensity() - add custom title axis labels modify colours legend labels.  plot_trajectory() - change time span, add ‘label’ column add custom title axis labels.  plot_techmix() - change time span, add ‘label’ column, apply custom colours modify legend labels.  plot_techmix() - remove scenario data start year.","code":"data <- sda %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\",     year <= 2030   )  plot_emission_intensity(data) +   labs(     title = \"Emission intensity plot for cement\",     x = \"Time\",     y = \"Tons of CO2 per ton of cement produced\"   ) +   scale_color_manual(     values = c(\"#4a5e54\", \"#a63d57\", \"#78c4d6\", \"#f2e06e\"),     labels = c(\"Proj.\", \"Corp. Economy\", \"Target (demo)\", \"Adj. Scenario (demo)\")   ) #> Scale for colour is already present. #> Adding another scale for colour, which will replace the existing scale. data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\",     year <= 2030   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Benchmark (Corp. Economy)\",       metric == \"target_sds\" ~ \"Sustainable Development Scen.\",       metric == \"target_sps\" ~ \"Stated Policies Scen.\",       metric == \"target_cps\" ~ \"Current Policy Scen.\",       TRUE ~ metric     )   )  plot_trajectory(data) +   scale_x_continuous(n.breaks = 3) +   labs(     title = \"Portfolio Scenario Alignment for Renewables Technology\",     x = \"Year\",     y = \"Production normalized to start year\"   ) +   theme(plot.margin = unit(c(0.5, 6, 0.5, 1), \"cm\")) # so the long labels fit #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. #> Scale for x is already present. #> Adding another scale for x, which will replace the existing scale. data <- market_share %>%   filter(     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\"),     sector == \"power\",     scenario_source == \"demo_2020\",     region == \"global\",     year >= 2021,     year <= 2040 # custom time range   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Corporate Economy Benchmark\",       metric == \"target_sds\" ~ \"SDS Scenario\"     )   )  plot_techmix(data) +   scale_fill_manual(     values = c(\"black\", \"brown\", \"grey\", \"yellow\", \"blue\", \"green4\"),     labels = paste(c(\"Coal\", \"Oil\", \"Gas\", \"Nuclear\", \"Hydro\", \"Renewables\"), \"Cap.\")   ) #> Warning: The `data` argument of `plot_techmix()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call `r2dii.plot::plot_techmix(data)` #>   prior to calling `r2dii.plot::plot_techmix()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`. #> Scale for fill is already present. #> Adding another scale for fill, which will replace the existing scale. data <- market_share %>%   filter(     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\"),     sector == \"power\",     region == \"global\",     scenario_source == \"demo_2020\"   ) %>%   filter(     !((metric == \"target_sds\") & (year == 2020))   )  plot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"styling-functions","dir":"Articles","previous_headings":"","what":"Styling functions","title":"r2dii.plot","text":"number functions allow customize plots using 2DII style: Use theme_2dii() change display non-data content.  Use scale_colour_r2dii() scale_fill_r2dii() apply 2DII colour palette (see ?scale_colour_2dii() find available colour labels).  Use scale_colour_r2dii_sector() scale_fill_r2dii_sector() apply 2DII colour palette sectors (see ?scale_colour_2dii_sector() find available colour labels).  Use scale_colour_r2dii_tech() scale_fill_r2dii_tech() apply 2DII colour palette technologies (see ?scale_colour_2dii_tech() find available colour labels).","code":"data <- market_share %>%   filter(     metric == \"projected\",     sector == \"power\",     region == \"global\",     year %in% c(2020, 2025)   )  ggplot(data, aes(x = factor(year), y = production)) +   geom_col() +   facet_wrap(~technology) +   theme_2dii() data <- market_share %>%   filter(     metric != \"corporate_economy\",     sector == \"power\",     region == \"global\",     technology == \"renewablescap\"   )  ggplot(data, aes(x = year, y = production, color = metric)) +   geom_line() +   scale_colour_r2dii(labels = c(\"dark_blue\", \"green\", \"orange\", \"ruby_red\")) +   theme_2dii() data <- market_share %>%   filter(     metric == \"projected\",     region == \"global\",     year %in% c(2020, 2025)   ) %>%   group_by(sector, year) %>%   summarise(production = sum(production)) #> `summarise()` has grouped output by 'sector'. You can override using the #> `.groups` argument.  ggplot(data, aes(x = factor(year), y = production, fill = sector)) +   geom_col() +   scale_fill_r2dii_sector(sectors = c(\"automotive\", \"oil&gas\", \"power\")) +   theme_2dii() +   facet_wrap(~sector) technologies <- c(\"coalcap\", \"oilcap\", \"gascap\", \"hydrocap\", \"renewablescap\")  data <- market_share %>%   filter(     metric == \"projected\",     sector == \"power\",     region == \"global\",     year %in% c(2020, 2025)   ) %>%   mutate(technology = factor(technology, levels = technologies)) %>%   arrange(technology)  ggplot(data, aes(x = factor(year), y = production, fill = technology)) +   geom_col() +   scale_fill_r2dii_tech(\"power\", technologies) +   facet_wrap(~technology) +   theme_2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"funding","dir":"Articles","previous_headings":"","what":"Funding","title":"r2dii.plot","text":"project received funding European Union LIFE program International Climate Initiative (IKI). Federal Ministry Environment, Nature Conservation Nuclear Safety (BMU) supports initiative basis decision adopted German Bundestag. views expressed sole responsibility authors necessarily reflect views funders. funders responsible use may made information contains.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Monika Furdyna. Author, contractor, maintainer. Mauro Lepore. Author, contractor. Alex Axthelm. Author, contractor. Rocky Mountain Institute. Copyright holder, funder.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Furdyna M, Lepore M, Axthelm (2023). r2dii.plot: Visualize Climate Scenario Alignment Financial Portfolio. R package version 0.3.1.9000,  https://rmi-pacta.github.io/r2dii.plot/, https://github.com/RMI-PACTA/r2dii.plot.","code":"@Manual{,   title = {r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio},   author = {Monika Furdyna and Mauro Lepore and Alex Axthelm},   year = {2023},   note = {R package version 0.3.1.9000,  https://rmi-pacta.github.io/r2dii.plot/},   url = {https://github.com/RMI-PACTA/r2dii.plot}, }"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"r2diiplot-","dir":"","previous_headings":"","what":"Visualize the Climate Scenario Alignment of a Financial Portfolio","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"goal r2dii.plot help plot 2DII data informative, beautiful, easy way.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"can install released version r2dii.plot CRAN : development version GitHub :","code":"install.packages(\"r2dii.plot\") # install.packages(\"devtools\") devtools::install_github(\"RMI-PACTA/r2dii.plot\")"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"r2dii.plot package designed work smoothly “r2dii” packages – r2dii.data, r2dii.match, r2dii.analysis. also plays well ggplot2 package, helps customize plots. , ’ll use example data set comes r2dii.plot resembles output target_market_share() function r2dii.analysis package.","code":"library(ggplot2, warn.conflicts = FALSE) library(dplyr, warn.conflicts = FALSE) library(r2dii.plot)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"plot-trajectory-chart","dir":"","previous_headings":"Example","what":"Plot trajectory chart","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"Use qplot_*() quickly get plot standard titles labels.  Use plot_*() “bare” plot can customize modifying input data applying ggplot2 functions.  examples plots data sets please visit Get started r2dii.plot.","code":"# `data` must meet documented \"Requirements\" data <- market_share %>%   filter(     sector == \"power\",     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\"   )  qplot_trajectory(data) data <- market_share %>%   filter(     sector == \"power\",     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\",     between(year, 2020, 2035)   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Benchmark (Corp. Econ.)\",       metric == \"target_sds\" ~ \"SDS Scenario\",       metric == \"target_sps\" ~ \"SPS Scenario\",       metric == \"target_cps\" ~ \"CPS Scenario\",       TRUE ~ metric     )   )  plot_trajectory(data) +   labs(     title = \"Power production trajectory for Renewables\",     subtitle = \"With reference to climate scenarios.\",     x = \"Year\",     y = \"Production (normalized to 2020)\"   ) #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"funding","dir":"","previous_headings":"","what":"Funding","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"project received funding European Union LIFE program International Climate Initiative (IKI). Federal Ministry Environment, Nature Conservation Nuclear Safety (BMU) supports initiative basis decision adopted German Bundestag. views expressed sole responsibility authors necessarily reflect views funders. funders responsible use may made information contains.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":null,"dir":"Reference","previous_headings":"","what":"An example of a market_share-like dataset — market_share","title":"An example of a market_share-like dataset — market_share","text":"Dataset imitating output r2dii.analysis::target_market_share().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An example of a market_share-like dataset — market_share","text":"","code":"market_share"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An example of a market_share-like dataset — market_share","text":"object class spec_tbl_df (inherits tbl_df, tbl, data.frame) 802 rows 10 columns.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"An example of a market_share-like dataset — market_share","text":"","code":"market_share #> # A tibble: 802 × 10 #>    sector     technology  year region scenario_source metric     production #>                                          #>  1 automotive electric    2020 global demo_2020       projected     324592. #>  2 automotive electric    2020 global demo_2020       target_cps    324592. #>  3 automotive electric    2020 global demo_2020       target_sds    324592. #>  4 automotive electric    2020 global demo_2020       target_sps    324592. #>  5 automotive electric    2021 global demo_2020       projected     339656. #>  6 automotive electric    2021 global demo_2020       target_cps    329191. #>  7 automotive electric    2021 global demo_2020       target_sds    352505. #>  8 automotive electric    2021 global demo_2020       target_sps    330435. #>  9 automotive electric    2022 global demo_2020       projected     354720. #> 10 automotive electric    2022 global demo_2020       target_cps    333693. #> # ℹ 792 more rows #> # ℹ 3 more variables: technology_share , scope , #> #   percentage_of_initial_production_by_scope "},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":null,"dir":"Reference","previous_headings":"","what":"Create an emission intensity plot — plot_emission_intensity","title":"Create an emission intensity plot — plot_emission_intensity","text":"Create emission intensity plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create an emission intensity plot — plot_emission_intensity","text":"","code":"plot_emission_intensity(data, span_5yr = FALSE, convert_label = identity)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create an emission intensity plot — plot_emission_intensity","text":"data data frame. Requirements: structure must like sda. column sector must single value (e.g. \"cement\"). (Optional) present, column label used data labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_emission_intensity()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_emission_intensity() use convert_label = to_title.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create an emission intensity plot — plot_emission_intensity","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create an emission intensity plot — plot_emission_intensity","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(sda, sector == \"cement\" & region == \"global\") plot_emission_intensity(data) #> Warning: The `data` argument of `plot_emission_intensity()` must be prepped already as #> of r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_emission_intensity(data)` prior to calling #>   `r2dii.plot::plot_emission_intensity()`. #> ℹ Alternatively custom data preparation will also become possible.   # plot with `qplot_emission_intensity()` parameters plot_emission_intensity(   data,   span_5yr = TRUE,   convert_label = to_title )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a techmix plot — plot_techmix","title":"Create a techmix plot — plot_techmix","text":"Create techmix plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a techmix plot — plot_techmix","text":"","code":"plot_techmix(   data,   span_5yr = FALSE,   convert_label = identity,   convert_tech_label = identity )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a techmix plot — plot_techmix","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, region, scenario_source. column metric must portfolio (e.g. \"projected\"), benchmark (e.g. \"corporate_economy\"), single scenario (e.g. \"target_sds\"). (Optional) present, column label used data labels. (Optional) present, column label_tech used technology labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_techmix()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_techmix() use convert_label = recode_metric_techmix. convert_tech_label symbol. unquoted name function apply technology legend labels. example, convert labels uppercase use convert_tech_label = toupper. get default behavior qplot_techmix() use convert_tech_label = spell_out_technology.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a techmix plot — plot_techmix","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a techmix plot — plot_techmix","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   scenario_source == \"demo_2020\" &     sector == \"power\" &     region == \"global\" &     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\") )  plot_techmix(data) #> Warning: The `data` argument of `plot_techmix()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call `r2dii.plot::plot_techmix(data)` #>   prior to calling `r2dii.plot::plot_techmix()`. #> ℹ Alternatively custom data preparation will also become possible. #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`.   # plot with `qplot_techmix()` parameters plot_techmix(   data,   span_5yr = TRUE,   convert_label = recode_metric_techmix,   convert_tech_label = spell_out_technology ) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a trajectory plot — plot_trajectory","title":"Create a trajectory plot — plot_trajectory","text":"Create trajectory plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a trajectory plot — plot_trajectory","text":"","code":"plot_trajectory(   data,   span_5yr = FALSE,   convert_label = identity,   center_y = FALSE,   value_col = \"percentage_of_initial_production_by_scope\",   perc_y_scale = FALSE )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a trajectory plot — plot_trajectory","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, technology, region, scenario_source. (Optional) present, column label used data labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_trajectory()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_trajectory() use convert_label = recode_metric_trajectory. center_y Logical. Use TRUE center y-axis around start value (default behavior qplot_trajectory()), use FALSE center. value_col Character. Name column used value plotted. perc_y_scale Logical. FALSE defaults using label conversion. Use TRUE convert labels y-axis percentage using scales::percent (default behavior qplot_trajectory()).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a trajectory plot — plot_trajectory","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a trajectory plot — plot_trajectory","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     technology == \"renewablescap\" &     region == \"global\" &     scenario_source == \"demo_2020\" )  plot_trajectory(data) #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible.   # plot with `qplot_trajectory()` parameters plot_trajectory(   data,   span_5yr = TRUE,   convert_label = recode_metric_trajectory,   center_y = TRUE,   value_col = \"percentage_of_initial_production_by_scope\",   perc_y_scale = TRUE )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick emission intensity plot — qplot_emission_intensity","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"Compared plot_emission_intensity() function: restricted plotting future 5 years start year, outputs formatted labels, based emission metric column, outputs title, outputs formatted axis labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"","code":"qplot_emission_intensity(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"data data frame. Requirements: structure must like sda. column sector must single value (e.g. \"cement\"). (Optional) present, column label used data labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(sda, sector == \"cement\" & region == \"global\")  qplot_emission_intensity(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick techmix plot — qplot_techmix","title":"Create a quick techmix plot — qplot_techmix","text":"Compared plot_techmix() function: restricted plotting future 5 years start year, outputs pretty bar labels, based metric column, outputs pretty legend labels, based technology column, outputs title.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick techmix plot — qplot_techmix","text":"","code":"qplot_techmix(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick techmix plot — qplot_techmix","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, region, scenario_source. column metric must portfolio (e.g. \"projected\"), benchmark (e.g. \"corporate_economy\"), single scenario (e.g. \"target_sds\"). (Optional) present, column label used data labels. (Optional) present, column label_tech used technology labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick techmix plot — qplot_techmix","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick techmix plot — qplot_techmix","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     region == \"global\" &     scenario_source == \"demo_2020\" &     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\") )  qplot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick trajectory plot — qplot_trajectory","title":"Create a quick trajectory plot — qplot_trajectory","text":"Compared plot_trajectory() function: restricted plotting 5 years start year, outputs pretty legend labels, based column holding metrics, outputs title, outputs subtitle, outputs informative axis labels sentence case.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick trajectory plot — qplot_trajectory","text":"","code":"qplot_trajectory(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick trajectory plot — qplot_trajectory","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, technology, region, scenario_source. (Optional) present, column label used data labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick trajectory plot — qplot_trajectory","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick trajectory plot — qplot_trajectory","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     technology == \"renewablescap\" &     region == \"global\" &     scenario_source == \"demo_2020\" )  qplot_trajectory(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii.plot-package.html","id":null,"dir":"Reference","previous_headings":"","what":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","title":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","text":"Create plots visualize alignment corporate lending financial portfolio climate change scenarios based climate indicators (production emission intensities) across key climate relevant sectors 'PACTA' methodology (Paris Agreement Capital Transition Assessment; https://www.transitionmonitor.com/). Financial institutions use 'PACTA' study capital allocation decisions align climate change mitigation goals.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii.plot-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","text":"Maintainer: Monika Furdyna monika.furdyna@gmail.com (ORCID) [contractor] Authors: Mauro Lepore maurolepore@gmail.com (ORCID) [contractor] Alex Axthelm alex@2degrees-investing.org (ORCID) [contractor] contributors: Rocky Mountain Institute PACTA4banks@rmi.org [copyright holder, funder]","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":null,"dir":"Reference","previous_headings":"","what":"Colour datasets — r2dii_colours","title":"Colour datasets — r2dii_colours","text":"datasets least two columns: label: Text label colour. hex: Hex code colour.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Colour datasets — r2dii_colours","text":"","code":"palette_colours  scenario_colours  sector_colours  technology_colours"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Colour datasets — r2dii_colours","text":"object class tbl_df (inherits tbl, data.frame) 9 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 5 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 8 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 18 rows 3 columns.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Colour datasets — r2dii_colours","text":"scenario_colours, colours ordered red green used trajectory charts.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Colour datasets — r2dii_colours","text":"","code":"palette_colours #> # A tibble: 9 × 2 #>   label       hex     #>             #> 1 dark_blue   #1b324f #> 2 green       #00c082 #> 3 orange      #ff9623 #> 4 grey        #d0d7e1 #> 5 dark_purple #574099 #> 6 yellow      #f2e06e #> 7 soft_blue   #78c4d6 #> 8 ruby_red    #a63d57 #> 9 moss_green  #4a5e54  scenario_colours #> # A tibble: 5 × 2 #>   label        hex     #>              #> 1 dark_green   #768555 #> 2 light_green  #9CAB7C #> 3 dark_yellow  #FFFFCC #> 4 light_yellow #FDE291 #> 5 red          #E07B73  sector_colours #> # A tibble: 8 × 2 #>   label      hex     #>            #> 1 automotive #78C4D6 #> 2 aviation   #00c082 #> 3 cement     #c1b358 #> 4 coal       #4e3b37 #> 5 oil&gas    #181716 #> 6 power      #a63603 #> 7 shipping   #574099 #> 8 steel      #a63d57  technology_colours #> # A tibble: 18 × 3 #>    sector       technology    hex     #>                        #>  1 power        coalcap       #7A2701 #>  2 power        oilcap        #a63603 #>  3 power        gascap        #e6550d #>  4 power        nuclearcap    #fd8d3c #>  5 power        hydrocap      #fdbe85 #>  6 power        renewablescap #ffd4ad #>  7 automotive   ice_hdv       #548995 #>  8 automotive   ice           #609cab #>  9 automotive   hybrid_hdv    #6cb0c0 #> 10 automotive   hybrid        #78c4d6 #> 11 automotive   fuelcell      #93cfde #> 12 automotive   electric_hdv  #aedbe6 #> 13 automotive   electric      #c9e7ee #> 14 oil&gas      gas           #b9b5b0 #> 15 oil&gas      oil           #181716 #> 16 fossil fuels gas           #b9b5b0 #> 17 fossil fuels oil           #181716 #> 18 fossil fuels coal          #4e3b37"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII colour and fill scales — scale_colour_r2dii","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"custom discrete colour fill scales colours 2DII palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"","code":"scale_colour_r2dii(labels = NULL, ...)  scale_fill_r2dii(labels = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"labels character vector. Specifies colour labels use order. Run unique(r2dii.plot:::palette_colours$label) see available labels. Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii()   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"custom discrete colour fill scales colours 2DII sector palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"","code":"scale_colour_r2dii_sector(sectors = NULL, ...)  scale_fill_r2dii_sector(sectors = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"sectors character vector. Specifies sector colours use order. Run unique(r2dii.plot:::sector_colours$label) see available labels. Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii_sector()   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii_sector()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"custom discrete colour fill scales colours 2DII technology palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"","code":"scale_colour_r2dii_tech(sector, technologies = NULL, ...)  scale_fill_r2dii_tech(sector, technologies = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"sector string. Sector name specifying colour palette. Run unique(r2dii.plot:::technology_colours$sector) see available sectors. technologies character vector. Specifies technologies use colours order. Run unique(r2dii.plot:::technology_colours$technology) see available technologies (pay attention match sector). Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii_tech(\"automotive\")   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii_tech(\"automotive\")"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":null,"dir":"Reference","previous_headings":"","what":"An example of an sda-like dataset — sda","title":"An example of an sda-like dataset — sda","text":"Dataset imitating output r2dii.analysis::target_sda().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An example of an sda-like dataset — sda","text":"","code":"sda"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An example of an sda-like dataset — sda","text":"object class spec_tbl_df (inherits tbl_df, tbl, data.frame) 110 rows 6 columns.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An example of an sda-like dataset — sda","text":"https://github.com/RMI-PACTA/r2dii.plot/issues/55.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"An example of an sda-like dataset — sda","text":"","code":"sda #> # A tibble: 110 × 6 #>    sector  year region             scenario_source emission_factor_metric #>                                                  #>  1 cement  2020 advanced economies demo_2020       projected              #>  2 cement  2020 developing asia    demo_2020       projected              #>  3 cement  2020 global             demo_2020       projected              #>  4 cement  2021 advanced economies demo_2020       projected              #>  5 cement  2021 developing asia    demo_2020       projected              #>  6 cement  2021 global             demo_2020       projected              #>  7 cement  2022 advanced economies demo_2020       projected              #>  8 cement  2022 developing asia    demo_2020       projected              #>  9 cement  2022 global             demo_2020       projected              #> 10 cement  2023 advanced economies demo_2020       projected              #> # ℹ 100 more rows #> # ℹ 1 more variable: emission_factor_value "},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":null,"dir":"Reference","previous_headings":"","what":"Complete theme — theme_2dii","title":"Complete theme — theme_2dii","text":"ggplot theme can applied graphs appear according 2DII plotting aesthetics.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Complete theme — theme_2dii","text":"","code":"theme_2dii(   base_size = 12,   base_family = \"Helvetica\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Complete theme — theme_2dii","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Complete theme — theme_2dii","text":"object class \"theme\", \"gg\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Complete theme — theme_2dii","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mtcars) +   geom_histogram(aes(mpg), bins = 10) +   theme_2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":null,"dir":"Reference","previous_headings":"","what":"Replicate labels produced with qplot_*() functions — to_title","title":"Replicate labels produced with qplot_*() functions — to_title","text":"to_title() converts labels like qplot_emission_intensity(). recode_metric_trajectory() converts labels like qplot_trajectory(). recode_metric_techmix() converts labels like qplot_techmix(). spell_out_technology() converts technology labels like qplot_techmix().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replicate labels produced with qplot_*() functions — to_title","text":"","code":"to_title(x)  recode_metric_techmix(x)  recode_metric_trajectory(x)  spell_out_technology(x)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replicate labels produced with qplot_*() functions — to_title","text":"x character vector.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replicate labels produced with qplot_*() functions — to_title","text":"character vector.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Replicate labels produced with qplot_*() functions — to_title","text":"","code":"to_title(c(\"a.string\", \"another_STRING\")) #> [1] \"A String\"       \"Another STRING\"  metric <- c(\"projected\", \"corporate_economy\", \"target_xyz\", \"else\") recode_metric_trajectory(metric) #> [1] \"Portfolio\"         \"Corporate Economy\" \"XYZ\"               #> [4] \"Else\"               recode_metric_techmix(metric) #> [1] \"Portfolio\"    \"Benchmark\"    \"XYZ Scenario\" \"Benchmark\"     spell_out_technology(c(\"gas\", \"ice\", \"coalcap\", \"hdv\")) #> [1] \"Gas\"                 \"ICE\"                 \"Coal Capacity\"       #> [4] \"Heavy Duty Vehicles\""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-031","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.3.1","title":"r2dii.plot 0.3.1","text":"CRAN release: 2023-05-23 palette_colours contains PACTA brand colours (hex codes), scenario_colours contains colours used climate scenarios (hex codes), sector_colours contains PACTA sector colours (hex codes), technology_colours contains PACTA technology colours (hex codes). r2dii.plot transferred new organization: https://github.com/RMI-PACTA/.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-030","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.3.0","title":"r2dii.plot 0.3.0","text":"CRAN release: 2022-05-05","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"breaking-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"r2dii.plot 0.3.0","text":"Package updated align newest version r2dii.analysis (v 0.1.13). qplot_trajectory() now plots column ‘percentage_of_initial_production_by_scope’ default uses percentage y-scale.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"new-features-0-3-0","dir":"Changelog","previous_headings":"","what":"New features","title":"r2dii.plot 0.3.0","text":"plot_trajectory() gains new parameters: value_col indicate column contains value plotted, perc_y_scale control whether y-axis scaled percentage.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"bug-fixes-and-minor-enhancements-0-3-0","dir":"Changelog","previous_headings":"","what":"Bug fixes and minor enhancements","title":"r2dii.plot 0.3.0","text":"to_title() keeps word unchanged letters uppercase, example: to_title(\"SDS\") = \"SDS\". qplot_trajectory() new labels. qplot_techmix() scenario name label now (#476). plots now start start year ‘projected’ instead first common year metrics. allows bar removal techmix plots (#390 @Antoine-Lalechere).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-020","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.2.0","title":"r2dii.plot 0.2.0","text":"CRAN release: 2021-10-16","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"new-features-0-2-0","dir":"Changelog","previous_headings":"","what":"New features","title":"r2dii.plot 0.2.0","text":"plot_*() functions gain new parameters help replicate qplot_*() behaviors. New helpers replicate plot_*() functions default labels qplot_*() functions: to_title() format_metric() recode_metric_techmix() spell_out_technology() New functions easily apply 2DII colour palettes plot (#28 @cjyetman): scale_colour_r2dii() scale_colour_r2dii_sector() scale_colour_r2dii_tech() scale_fill_r2dii() scale_fill_r2dii_sector() scale_fill_r2dii_tech()","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"enhancements-0-2-0","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"r2dii.plot 0.2.0","text":"plot_trajectory() now defaults center y-axis around start value. plot_trajectory() now displays benchmark trajectory lines improved visibility (#389 @Antoine-Lalechere). website now links blog advertise exciting news. website now links r2dii packages (#381 @georgeharris2deg).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"bug-fixes-0-2-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"r2dii.plot 0.2.0","text":"plot_trajectory() now displays integer years x-axis (#403). ‘Get started’ section website works . theme_2dii() now correctly uses base_size argument.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-010","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.1.0","title":"r2dii.plot 0.1.0","text":"CRAN release: 2021-06-29 plot_techmix() qplot_techmix() always output bars’ order (#365). Data labels can now modified adding column label label_tech input data. new qplot_trajectory(), qplot_techmix(), qplot_emission_intensity() output polished plots (#264). plot_trajectory(), plot_techmix(), plot_emission_intensity() now output basic plots. Error messages now closely follow tidyverse style guide (#324). plot_trajectory() now plots main line top lines, ’s longer hidden overlaps lines (#223). plot_techmix() “automotive” sector now coloured darkest colours corresponds least sustainable technology, .e. consistently technologies. pattern decreasing sustainability now also reflected order legend labels (#328).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-001","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.0.1","title":"r2dii.plot 0.0.1","text":"CRAN release: 2021-06-21 Initial release.","code":""}]
+[{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 r2dii.plot authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"quick-plots","dir":"Articles","previous_headings":"","what":"‘Quick’ plots","title":"r2dii.plot","text":"Quick plots allow create good looking plot without extensive knowledge R packages. perfect quick look data users interested standard PACTA visualizations. common characteristics : 5 year time span. Formatted data labels. Formatted axis labels scales. title (subtitle). Use qplot_emission_intensity() sda-like data.  Use qplot_trajectory() market_share-like data.  Use qplot_techmix() market_share-like data.","code":"data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  qplot_emission_intensity(data) data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\"   )  qplot_trajectory(data) data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     sector == \"power\",     region == \"global\",     scenario_source == \"demo_2020\",     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\")   )  qplot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plots","dir":"Articles","previous_headings":"","what":"Plots","title":"r2dii.plot","text":"Plots created plot_*() functions show data . customize plots can use three strategies: Use parameters plot_*() functions, Modify input data, Use ggplot2 functions. following sub sections show three strategies applied different functions plot_*() family.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plot-customization-strategies-1-and-3-parameters-and-ggplot2-functions","dir":"Articles","previous_headings":"Plots","what":"Plot customization strategies 1 and 3: parameters and ggplot2 functions","title":"r2dii.plot","text":"show might customize plot using strategy 1 3 based plot_emission_intensity(). basic output function looks rather unappealing.  can use parameters plot_emission_intensity() replicate features qplot_emission_intensity()(strategy 1), add plot labels ggplot2::labs() (strategy 3).","code":"data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  plot_emission_intensity(data) #> Warning: The `data` argument of `plot_emission_intensity()` must be prepped already as #> of r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_emission_intensity(data)` prior to calling #>   `r2dii.plot::plot_emission_intensity()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. data <- matched %>%   target_sda(abcd, co2_intensity_scenario = scenario, region_isos = region) %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\"   ) #> Warning: Removing rows in abcd where `emission_factor` is NA  plot_emission_intensity(data, convert_label = to_title, span_5yr = TRUE) +   labs(     title = \"Emission Intensity Trend for the Cement Sector\",     x = \"Year\",     y = \"Tons of CO2 per Ton of Production Unit\"   )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"plot-customization-strategies-2-and-3-input-data-and-ggplot2-functions","dir":"Articles","previous_headings":"Plots","what":"Plot customization strategies 2 and 3: input data and ggplot2 functions","title":"r2dii.plot","text":"can also polish plot modifying input data (strategy 2), example: Changing time span. Adding custom labels adding column ‘label’ ‘label_tech’ market_share-like data. modifying output ggplot object (strategy 3), example: Adding title subtitle using ggplot2::labs(). Changing x y axis labels using ggplot2::labs(). Customizing colours legend labels ggplot2::scale_colour_manual() r2dii.plot::scale_*() functions (see Styling functions). might customize three kinds plots using strategy 2 3: plot_emission_intensity() - add custom title axis labels modify colours legend labels.  plot_trajectory() - change time span, add ‘label’ column add custom title axis labels.  plot_techmix() - change time span, add ‘label’ column, apply custom colours modify legend labels.  plot_techmix() - remove scenario data start year.","code":"data <- sda %>%   filter(     sector == \"cement\",     region == \"global\",     scenario_source == \"demo_2020\",     year <= 2030   )  plot_emission_intensity(data) +   labs(     title = \"Emission intensity plot for cement\",     x = \"Time\",     y = \"Tons of CO2 per ton of cement produced\"   ) +   scale_color_manual(     values = c(\"#4a5e54\", \"#a63d57\", \"#78c4d6\", \"#f2e06e\"),     labels = c(\"Proj.\", \"Corp. Economy\", \"Target (demo)\", \"Adj. Scenario (demo)\")   ) #> Scale for colour is already present. #> Adding another scale for colour, which will replace the existing scale. data <- matched %>%   target_market_share(abcd, scenario = scenario_demo_2020, region_isos = region) %>%   filter(     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\",     year <= 2030   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Benchmark (Corp. Economy)\",       metric == \"target_sds\" ~ \"Sustainable Development Scen.\",       metric == \"target_sps\" ~ \"Stated Policies Scen.\",       metric == \"target_cps\" ~ \"Current Policy Scen.\",       TRUE ~ metric     )   )  plot_trajectory(data) +   scale_x_continuous(n.breaks = 3) +   labs(     title = \"Portfolio Scenario Alignment for Renewables Technology\",     x = \"Year\",     y = \"Production normalized to start year\"   ) +   theme(plot.margin = unit(c(0.5, 6, 0.5, 1), \"cm\")) # so the long labels fit #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. #> Scale for x is already present. #> Adding another scale for x, which will replace the existing scale. data <- market_share %>%   filter(     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\"),     sector == \"power\",     scenario_source == \"demo_2020\",     region == \"global\",     year >= 2021,     year <= 2040 # custom time range   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Corporate Economy Benchmark\",       metric == \"target_sds\" ~ \"SDS Scenario\"     )   )  plot_techmix(data) +   scale_fill_manual(     values = c(\"black\", \"brown\", \"grey\", \"yellow\", \"blue\", \"green4\"),     labels = paste(c(\"Coal\", \"Oil\", \"Gas\", \"Nuclear\", \"Hydro\", \"Renewables\"), \"Cap.\")   ) #> Warning: The `data` argument of `plot_techmix()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call `r2dii.plot::plot_techmix(data)` #>   prior to calling `r2dii.plot::plot_techmix()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`. #> Scale for fill is already present. #> Adding another scale for fill, which will replace the existing scale. data <- market_share %>%   filter(     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\"),     sector == \"power\",     region == \"global\",     scenario_source == \"demo_2020\"   ) %>%   filter(     !((metric == \"target_sds\") & (year == 2020))   )  plot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"styling-functions","dir":"Articles","previous_headings":"","what":"Styling functions","title":"r2dii.plot","text":"number functions allow customize plots using 2DII style: Use theme_2dii() change display non-data content.  Use scale_colour_r2dii() scale_fill_r2dii() apply 2DII colour palette (see ?scale_colour_2dii() find available colour labels).  Use scale_colour_r2dii_sector() scale_fill_r2dii_sector() apply 2DII colour palette sectors (see ?scale_colour_2dii_sector() find available colour labels).  Use scale_colour_r2dii_tech() scale_fill_r2dii_tech() apply 2DII colour palette technologies (see ?scale_colour_2dii_tech() find available colour labels).","code":"data <- market_share %>%   filter(     metric == \"projected\",     sector == \"power\",     region == \"global\",     year %in% c(2020, 2025)   )  ggplot(data, aes(x = factor(year), y = production)) +   geom_col() +   facet_wrap(~technology) +   theme_2dii() data <- market_share %>%   filter(     metric != \"corporate_economy\",     sector == \"power\",     region == \"global\",     technology == \"renewablescap\"   )  ggplot(data, aes(x = year, y = production, color = metric)) +   geom_line() +   scale_colour_r2dii(labels = c(\"dark_blue\", \"green\", \"orange\", \"ruby_red\")) +   theme_2dii() data <- market_share %>%   filter(     metric == \"projected\",     region == \"global\",     year %in% c(2020, 2025)   ) %>%   group_by(sector, year) %>%   summarise(production = sum(production)) #> `summarise()` has grouped output by 'sector'. You can override using the #> `.groups` argument.  ggplot(data, aes(x = factor(year), y = production, fill = sector)) +   geom_col() +   scale_fill_r2dii_sector(sectors = c(\"automotive\", \"oil&gas\", \"power\")) +   theme_2dii() +   facet_wrap(~sector) technologies <- c(\"coalcap\", \"oilcap\", \"gascap\", \"nuclearcap\", \"hydrocap\", \"renewablescap\")  data <- market_share %>%   filter(     metric == \"projected\",     sector == \"power\",     region == \"global\",     year %in% c(2020, 2025)   ) %>%   mutate(technology = factor(technology, levels = technologies)) %>%   arrange(technology)  ggplot(data, aes(x = factor(year), y = production, fill = technology)) +   geom_col() +   scale_fill_r2dii_tech(\"power\", technologies) +   facet_wrap(~technology) +   theme_2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/articles/r2dii-plot.html","id":"funding","dir":"Articles","previous_headings":"","what":"Funding","title":"r2dii.plot","text":"project received funding European Union LIFE program International Climate Initiative (IKI). Federal Ministry Environment, Nature Conservation Nuclear Safety (BMU) supports initiative basis decision adopted German Bundestag. views expressed sole responsibility authors necessarily reflect views funders. funders responsible use may made information contains.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Monika Furdyna. Author, contractor, maintainer. Mauro Lepore. Author, contractor. Alex Axthelm. Author, contractor. Rocky Mountain Institute. Copyright holder, funder.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Furdyna M, Lepore M, Axthelm (2023). r2dii.plot: Visualize Climate Scenario Alignment Financial Portfolio. R package version 0.3.1.9000,  https://rmi-pacta.github.io/r2dii.plot/, https://github.com/RMI-PACTA/r2dii.plot.","code":"@Manual{,   title = {r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio},   author = {Monika Furdyna and Mauro Lepore and Alex Axthelm},   year = {2023},   note = {R package version 0.3.1.9000,  https://rmi-pacta.github.io/r2dii.plot/},   url = {https://github.com/RMI-PACTA/r2dii.plot}, }"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"r2diiplot-","dir":"","previous_headings":"","what":"Visualize the Climate Scenario Alignment of a Financial Portfolio","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"goal r2dii.plot help plot 2DII data informative, beautiful, easy way.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"can install released version r2dii.plot CRAN : development version GitHub :","code":"install.packages(\"r2dii.plot\") # install.packages(\"devtools\") devtools::install_github(\"RMI-PACTA/r2dii.plot\")"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"r2dii.plot package designed work smoothly “r2dii” packages – r2dii.data, r2dii.match, r2dii.analysis. also plays well ggplot2 package, helps customize plots. , ’ll use example data set comes r2dii.plot resembles output target_market_share() function r2dii.analysis package.","code":"library(ggplot2, warn.conflicts = FALSE) library(dplyr, warn.conflicts = FALSE) library(r2dii.plot)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"plot-trajectory-chart","dir":"","previous_headings":"Example","what":"Plot trajectory chart","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"Use qplot_*() quickly get plot standard titles labels.  Use plot_*() “bare” plot can customize modifying input data applying ggplot2 functions.  examples plots data sets please visit Get started r2dii.plot.","code":"# `data` must meet documented \"Requirements\" data <- market_share %>%   filter(     sector == \"power\",     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\"   )  qplot_trajectory(data) data <- market_share %>%   filter(     sector == \"power\",     technology == \"renewablescap\",     region == \"global\",     scenario_source == \"demo_2020\",     between(year, 2020, 2035)   ) %>%   mutate(     label = case_when(       metric == \"projected\" ~ \"Your Portfolio\",       metric == \"corporate_economy\" ~ \"Benchmark (Corp. Econ.)\",       metric == \"target_sds\" ~ \"SDS Scenario\",       metric == \"target_sps\" ~ \"SPS Scenario\",       metric == \"target_cps\" ~ \"CPS Scenario\",       TRUE ~ metric     )   )  plot_trajectory(data) +   labs(     title = \"Power production trajectory for Renewables\",     subtitle = \"With reference to climate scenarios.\",     x = \"Year\",     y = \"Production (normalized to 2020)\"   ) #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/index.html","id":"funding","dir":"","previous_headings":"","what":"Funding","title":"Visualize the Climate Scenario Alignment of a Financial Portfolio","text":"project received funding European Union LIFE program International Climate Initiative (IKI). Federal Ministry Environment, Nature Conservation Nuclear Safety (BMU) supports initiative basis decision adopted German Bundestag. views expressed sole responsibility authors necessarily reflect views funders. funders responsible use may made information contains.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":null,"dir":"Reference","previous_headings":"","what":"An example of a market_share-like dataset — market_share","title":"An example of a market_share-like dataset — market_share","text":"Dataset imitating output r2dii.analysis::target_market_share().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An example of a market_share-like dataset — market_share","text":"","code":"market_share"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An example of a market_share-like dataset — market_share","text":"object class spec_tbl_df (inherits tbl_df, tbl, data.frame) 802 rows 10 columns.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/market_share.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"An example of a market_share-like dataset — market_share","text":"","code":"market_share #> # A tibble: 802 × 10 #>    sector     technology  year region scenario_source metric     production #>                                          #>  1 automotive electric    2020 global demo_2020       projected     324592. #>  2 automotive electric    2020 global demo_2020       target_cps    324592. #>  3 automotive electric    2020 global demo_2020       target_sds    324592. #>  4 automotive electric    2020 global demo_2020       target_sps    324592. #>  5 automotive electric    2021 global demo_2020       projected     339656. #>  6 automotive electric    2021 global demo_2020       target_cps    329191. #>  7 automotive electric    2021 global demo_2020       target_sds    352505. #>  8 automotive electric    2021 global demo_2020       target_sps    330435. #>  9 automotive electric    2022 global demo_2020       projected     354720. #> 10 automotive electric    2022 global demo_2020       target_cps    333693. #> # ℹ 792 more rows #> # ℹ 3 more variables: technology_share , scope , #> #   percentage_of_initial_production_by_scope "},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":null,"dir":"Reference","previous_headings":"","what":"Create an emission intensity plot — plot_emission_intensity","title":"Create an emission intensity plot — plot_emission_intensity","text":"Create emission intensity plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create an emission intensity plot — plot_emission_intensity","text":"","code":"plot_emission_intensity(data, span_5yr = FALSE, convert_label = identity)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create an emission intensity plot — plot_emission_intensity","text":"data data frame. Requirements: structure must like sda. column sector must single value (e.g. \"cement\"). (Optional) present, column label used data labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_emission_intensity()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_emission_intensity() use convert_label = to_title.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create an emission intensity plot — plot_emission_intensity","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_emission_intensity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create an emission intensity plot — plot_emission_intensity","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(sda, sector == \"cement\" & region == \"global\") plot_emission_intensity(data) #> Warning: The `data` argument of `plot_emission_intensity()` must be prepped already as #> of r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_emission_intensity(data)` prior to calling #>   `r2dii.plot::plot_emission_intensity()`. #> ℹ Alternatively custom data preparation will also become possible.   # plot with `qplot_emission_intensity()` parameters plot_emission_intensity(   data,   span_5yr = TRUE,   convert_label = to_title )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a techmix plot — plot_techmix","title":"Create a techmix plot — plot_techmix","text":"Create techmix plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a techmix plot — plot_techmix","text":"","code":"plot_techmix(   data,   span_5yr = FALSE,   convert_label = identity,   convert_tech_label = identity )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a techmix plot — plot_techmix","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, region, scenario_source. column metric must portfolio (e.g. \"projected\"), benchmark (e.g. \"corporate_economy\"), single scenario (e.g. \"target_sds\"). (Optional) present, column label used data labels. (Optional) present, column label_tech used technology labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_techmix()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_techmix() use convert_label = recode_metric_techmix. convert_tech_label symbol. unquoted name function apply technology legend labels. example, convert labels uppercase use convert_tech_label = toupper. get default behavior qplot_techmix() use convert_tech_label = spell_out_technology.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a techmix plot — plot_techmix","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_techmix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a techmix plot — plot_techmix","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   scenario_source == \"demo_2020\" &     sector == \"power\" &     region == \"global\" &     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\") )  plot_techmix(data) #> Warning: The `data` argument of `plot_techmix()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call `r2dii.plot::plot_techmix(data)` #>   prior to calling `r2dii.plot::plot_techmix()`. #> ℹ Alternatively custom data preparation will also become possible. #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`.   # plot with `qplot_techmix()` parameters plot_techmix(   data,   span_5yr = TRUE,   convert_label = recode_metric_techmix,   convert_tech_label = spell_out_technology ) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a trajectory plot — plot_trajectory","title":"Create a trajectory plot — plot_trajectory","text":"Create trajectory plot","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a trajectory plot — plot_trajectory","text":"","code":"plot_trajectory(   data,   span_5yr = FALSE,   convert_label = identity,   center_y = FALSE,   value_col = \"percentage_of_initial_production_by_scope\",   perc_y_scale = FALSE )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a trajectory plot — plot_trajectory","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, technology, region, scenario_source. (Optional) present, column label used data labels. span_5yr Logical. Use TRUE restrict time span 5 years start year (default behavior qplot_trajectory()), use FALSE impose restriction. convert_label symbol. unquoted name function apply y-axis labels. example: convert labels uppercase use convert_label = toupper. get default behavior qplot_trajectory() use convert_label = recode_metric_trajectory. center_y Logical. Use TRUE center y-axis around start value (default behavior qplot_trajectory()), use FALSE center. value_col Character. Name column used value plotted. perc_y_scale Logical. FALSE defaults using label conversion. Use TRUE convert labels y-axis percentage using scales::percent (default behavior qplot_trajectory()).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a trajectory plot — plot_trajectory","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/plot_trajectory.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a trajectory plot — plot_trajectory","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     technology == \"renewablescap\" &     region == \"global\" &     scenario_source == \"demo_2020\" )  plot_trajectory(data) #> Warning: The `data` argument of `plot_trajectory()` must be prepped already as of #> r2dii.plot 0.4.0. #> ℹ From the next release you will need to call #>   `r2dii.plot::plot_trajectory(data)` prior to calling #>   `r2dii.plot::plot_trajectory()`. #> ℹ Alternatively custom data preparation will also become possible.   # plot with `qplot_trajectory()` parameters plot_trajectory(   data,   span_5yr = TRUE,   convert_label = recode_metric_trajectory,   center_y = TRUE,   value_col = \"percentage_of_initial_production_by_scope\",   perc_y_scale = TRUE )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick emission intensity plot — qplot_emission_intensity","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"Compared plot_emission_intensity() function: restricted plotting future 5 years start year, outputs formatted labels, based emission metric column, outputs title, outputs formatted axis labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"","code":"qplot_emission_intensity(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"data data frame. Requirements: structure must like sda. column sector must single value (e.g. \"cement\"). (Optional) present, column label used data labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_emission_intensity.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick emission intensity plot — qplot_emission_intensity","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(sda, sector == \"cement\" & region == \"global\")  qplot_emission_intensity(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick techmix plot — qplot_techmix","title":"Create a quick techmix plot — qplot_techmix","text":"Compared plot_techmix() function: restricted plotting future 5 years start year, outputs pretty bar labels, based metric column, outputs pretty legend labels, based technology column, outputs title.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick techmix plot — qplot_techmix","text":"","code":"qplot_techmix(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick techmix plot — qplot_techmix","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, region, scenario_source. column metric must portfolio (e.g. \"projected\"), benchmark (e.g. \"corporate_economy\"), single scenario (e.g. \"target_sds\"). (Optional) present, column label used data labels. (Optional) present, column label_tech used technology labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick techmix plot — qplot_techmix","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_techmix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick techmix plot — qplot_techmix","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     region == \"global\" &     scenario_source == \"demo_2020\" &     metric %in% c(\"projected\", \"corporate_economy\", \"target_sds\") )  qplot_techmix(data) #> The `technology_share` values are plotted for extreme years. #> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`."},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a quick trajectory plot — qplot_trajectory","title":"Create a quick trajectory plot — qplot_trajectory","text":"Compared plot_trajectory() function: restricted plotting 5 years start year, outputs pretty legend labels, based column holding metrics, outputs title, outputs subtitle, outputs informative axis labels sentence case.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a quick trajectory plot — qplot_trajectory","text":"","code":"qplot_trajectory(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a quick trajectory plot — qplot_trajectory","text":"data data frame. Requirements: structure must like market_share. following columns must single value: sector, technology, region, scenario_source. (Optional) present, column label used data labels.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a quick trajectory plot — qplot_trajectory","text":"object class \"ggplot\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/qplot_trajectory.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a quick trajectory plot — qplot_trajectory","text":"","code":"# `data` must meet documented \"Requirements\" data <- subset(   market_share,   sector == \"power\" &     technology == \"renewablescap\" &     region == \"global\" &     scenario_source == \"demo_2020\" )  qplot_trajectory(data)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii.plot-package.html","id":null,"dir":"Reference","previous_headings":"","what":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","title":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","text":"Create plots visualize alignment corporate lending financial portfolio climate change scenarios based climate indicators (production emission intensities) across key climate relevant sectors 'PACTA' methodology (Paris Agreement Capital Transition Assessment; https://www.transitionmonitor.com/). Financial institutions use 'PACTA' study capital allocation decisions align climate change mitigation goals.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii.plot-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"r2dii.plot: Visualize the Climate Scenario Alignment of a Financial Portfolio — r2dii.plot-package","text":"Maintainer: Monika Furdyna monika.furdyna@gmail.com (ORCID) [contractor] Authors: Mauro Lepore maurolepore@gmail.com (ORCID) [contractor] Alex Axthelm alex@2degrees-investing.org (ORCID) [contractor] contributors: Rocky Mountain Institute PACTA4banks@rmi.org [copyright holder, funder]","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":null,"dir":"Reference","previous_headings":"","what":"Colour datasets — r2dii_colours","title":"Colour datasets — r2dii_colours","text":"datasets least two columns: label: Text label colour. hex: Hex code colour.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Colour datasets — r2dii_colours","text":"","code":"palette_colours  scenario_colours  sector_colours  technology_colours"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Colour datasets — r2dii_colours","text":"object class tbl_df (inherits tbl, data.frame) 9 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 5 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 8 rows 2 columns. object class tbl_df (inherits tbl, data.frame) 18 rows 3 columns.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Colour datasets — r2dii_colours","text":"scenario_colours, colours ordered red green used trajectory charts.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/r2dii_colours.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Colour datasets — r2dii_colours","text":"","code":"palette_colours #> # A tibble: 9 × 2 #>   label       hex     #>             #> 1 dark_blue   #1b324f #> 2 green       #00c082 #> 3 orange      #ff9623 #> 4 grey        #d0d7e1 #> 5 dark_purple #574099 #> 6 yellow      #f2e06e #> 7 soft_blue   #78c4d6 #> 8 ruby_red    #a63d57 #> 9 moss_green  #4a5e54  scenario_colours #> # A tibble: 5 × 2 #>   label        hex     #>              #> 1 dark_green   #768555 #> 2 light_green  #9CAB7C #> 3 dark_yellow  #FFFFCC #> 4 light_yellow #FDE291 #> 5 red          #E07B73  sector_colours #> # A tibble: 8 × 2 #>   label      hex     #>            #> 1 automotive #78C4D6 #> 2 aviation   #00c082 #> 3 cement     #c1b358 #> 4 coal       #4e3b37 #> 5 oil&gas    #181716 #> 6 power      #a63603 #> 7 shipping   #574099 #> 8 steel      #a63d57  technology_colours #> # A tibble: 18 × 3 #>    sector       technology    hex     #>                        #>  1 power        coalcap       #7A2701 #>  2 power        oilcap        #a63603 #>  3 power        gascap        #e6550d #>  4 power        nuclearcap    #fd8d3c #>  5 power        hydrocap      #fdbe85 #>  6 power        renewablescap #ffd4ad #>  7 automotive   ice_hdv       #548995 #>  8 automotive   ice           #609cab #>  9 automotive   hybrid_hdv    #6cb0c0 #> 10 automotive   hybrid        #78c4d6 #> 11 automotive   fuelcell      #93cfde #> 12 automotive   electric_hdv  #aedbe6 #> 13 automotive   electric      #c9e7ee #> 14 oil&gas      gas           #b9b5b0 #> 15 oil&gas      oil           #181716 #> 16 fossil fuels gas           #b9b5b0 #> 17 fossil fuels oil           #181716 #> 18 fossil fuels coal          #4e3b37"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII colour and fill scales — scale_colour_r2dii","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"custom discrete colour fill scales colours 2DII palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"","code":"scale_colour_r2dii(labels = NULL, ...)  scale_fill_r2dii(labels = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"labels character vector. Specifies colour labels use order. Run unique(r2dii.plot:::palette_colours$label) see available labels. Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII colour and fill scales — scale_colour_r2dii","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii()   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"custom discrete colour fill scales colours 2DII sector palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"","code":"scale_colour_r2dii_sector(sectors = NULL, ...)  scale_fill_r2dii_sector(sectors = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"sectors character vector. Specifies sector colours use order. Run unique(r2dii.plot:::sector_colours$label) see available labels. Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_sector.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII sector colour and fill scales — scale_colour_r2dii_sector","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii_sector()   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii_sector()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":null,"dir":"Reference","previous_headings":"","what":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"custom discrete colour fill scales colours 2DII technology palette.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"","code":"scale_colour_r2dii_tech(sector, technologies = NULL, ...)  scale_fill_r2dii_tech(sector, technologies = NULL, ...)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"sector string. Sector name specifying colour palette. Run unique(r2dii.plot:::technology_colours$sector) see available sectors. technologies character vector. Specifies technologies use colours order. Run unique(r2dii.plot:::technology_colours$technology) see available technologies (pay attention match sector). Similar value parameter ggplot2::scale_colour_manual(). ... parameters passed ggplot2::discrete_scale().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"object class \"ScaleDiscrete\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/scale_colour_r2dii_tech.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Custom 2DII technology colour and fill scales — scale_colour_r2dii_tech","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mpg) +   geom_point(aes(displ, hwy, color = class)) +   scale_colour_r2dii_tech(\"automotive\")   ggplot(mpg) +   geom_histogram(aes(cyl, fill = class), position = \"dodge\", bins = 5) +   scale_fill_r2dii_tech(\"automotive\")"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":null,"dir":"Reference","previous_headings":"","what":"An example of an sda-like dataset — sda","title":"An example of an sda-like dataset — sda","text":"Dataset imitating output r2dii.analysis::target_sda().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"An example of an sda-like dataset — sda","text":"","code":"sda"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"An example of an sda-like dataset — sda","text":"object class spec_tbl_df (inherits tbl_df, tbl, data.frame) 110 rows 6 columns.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"An example of an sda-like dataset — sda","text":"https://github.com/RMI-PACTA/r2dii.plot/issues/55.","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/sda.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"An example of an sda-like dataset — sda","text":"","code":"sda #> # A tibble: 110 × 6 #>    sector  year region             scenario_source emission_factor_metric #>                                                  #>  1 cement  2020 advanced economies demo_2020       projected              #>  2 cement  2020 developing asia    demo_2020       projected              #>  3 cement  2020 global             demo_2020       projected              #>  4 cement  2021 advanced economies demo_2020       projected              #>  5 cement  2021 developing asia    demo_2020       projected              #>  6 cement  2021 global             demo_2020       projected              #>  7 cement  2022 advanced economies demo_2020       projected              #>  8 cement  2022 developing asia    demo_2020       projected              #>  9 cement  2022 global             demo_2020       projected              #> 10 cement  2023 advanced economies demo_2020       projected              #> # ℹ 100 more rows #> # ℹ 1 more variable: emission_factor_value "},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":null,"dir":"Reference","previous_headings":"","what":"Complete theme — theme_2dii","title":"Complete theme — theme_2dii","text":"ggplot theme can applied graphs appear according 2DII plotting aesthetics.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Complete theme — theme_2dii","text":"","code":"theme_2dii(   base_size = 12,   base_family = \"Helvetica\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Complete theme — theme_2dii","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Complete theme — theme_2dii","text":"object class \"theme\", \"gg\".","code":""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/theme_2dii.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Complete theme — theme_2dii","text":"","code":"library(ggplot2, warn.conflicts = FALSE)  ggplot(mtcars) +   geom_histogram(aes(mpg), bins = 10) +   theme_2dii()"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":null,"dir":"Reference","previous_headings":"","what":"Replicate labels produced with qplot_*() functions — to_title","title":"Replicate labels produced with qplot_*() functions — to_title","text":"to_title() converts labels like qplot_emission_intensity(). recode_metric_trajectory() converts labels like qplot_trajectory(). recode_metric_techmix() converts labels like qplot_techmix(). spell_out_technology() converts technology labels like qplot_techmix().","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replicate labels produced with qplot_*() functions — to_title","text":"","code":"to_title(x)  recode_metric_techmix(x)  recode_metric_trajectory(x)  spell_out_technology(x)"},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replicate labels produced with qplot_*() functions — to_title","text":"x character vector.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replicate labels produced with qplot_*() functions — to_title","text":"character vector.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/reference/to_title.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Replicate labels produced with qplot_*() functions — to_title","text":"","code":"to_title(c(\"a.string\", \"another_STRING\")) #> [1] \"A String\"       \"Another STRING\"  metric <- c(\"projected\", \"corporate_economy\", \"target_xyz\", \"else\") recode_metric_trajectory(metric) #> [1] \"Portfolio\"         \"Corporate Economy\" \"XYZ\"               #> [4] \"Else\"               recode_metric_techmix(metric) #> [1] \"Portfolio\"    \"Benchmark\"    \"XYZ Scenario\" \"Benchmark\"     spell_out_technology(c(\"gas\", \"ice\", \"coalcap\", \"hdv\")) #> [1] \"Gas\"                 \"ICE\"                 \"Coal Capacity\"       #> [4] \"Heavy Duty Vehicles\""},{"path":[]},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-031","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.3.1","title":"r2dii.plot 0.3.1","text":"CRAN release: 2023-05-23 palette_colours contains PACTA brand colours (hex codes), scenario_colours contains colours used climate scenarios (hex codes), sector_colours contains PACTA sector colours (hex codes), technology_colours contains PACTA technology colours (hex codes). r2dii.plot transferred new organization: https://github.com/RMI-PACTA/.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-030","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.3.0","title":"r2dii.plot 0.3.0","text":"CRAN release: 2022-05-05","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"breaking-changes-0-3-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"r2dii.plot 0.3.0","text":"Package updated align newest version r2dii.analysis (v 0.1.13). qplot_trajectory() now plots column ‘percentage_of_initial_production_by_scope’ default uses percentage y-scale.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"new-features-0-3-0","dir":"Changelog","previous_headings":"","what":"New features","title":"r2dii.plot 0.3.0","text":"plot_trajectory() gains new parameters: value_col indicate column contains value plotted, perc_y_scale control whether y-axis scaled percentage.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"bug-fixes-and-minor-enhancements-0-3-0","dir":"Changelog","previous_headings":"","what":"Bug fixes and minor enhancements","title":"r2dii.plot 0.3.0","text":"to_title() keeps word unchanged letters uppercase, example: to_title(\"SDS\") = \"SDS\". qplot_trajectory() new labels. qplot_techmix() scenario name label now (#476). plots now start start year ‘projected’ instead first common year metrics. allows bar removal techmix plots (#390 @Antoine-Lalechere).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-020","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.2.0","title":"r2dii.plot 0.2.0","text":"CRAN release: 2021-10-16","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"new-features-0-2-0","dir":"Changelog","previous_headings":"","what":"New features","title":"r2dii.plot 0.2.0","text":"plot_*() functions gain new parameters help replicate qplot_*() behaviors. New helpers replicate plot_*() functions default labels qplot_*() functions: to_title() format_metric() recode_metric_techmix() spell_out_technology() New functions easily apply 2DII colour palettes plot (#28 @cjyetman): scale_colour_r2dii() scale_colour_r2dii_sector() scale_colour_r2dii_tech() scale_fill_r2dii() scale_fill_r2dii_sector() scale_fill_r2dii_tech()","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"enhancements-0-2-0","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"r2dii.plot 0.2.0","text":"plot_trajectory() now defaults center y-axis around start value. plot_trajectory() now displays benchmark trajectory lines improved visibility (#389 @Antoine-Lalechere). website now links blog advertise exciting news. website now links r2dii packages (#381 @georgeharris2deg).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"bug-fixes-0-2-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"r2dii.plot 0.2.0","text":"plot_trajectory() now displays integer years x-axis (#403). ‘Get started’ section website works . theme_2dii() now correctly uses base_size argument.","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-010","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.1.0","title":"r2dii.plot 0.1.0","text":"CRAN release: 2021-06-29 plot_techmix() qplot_techmix() always output bars’ order (#365). Data labels can now modified adding column label label_tech input data. new qplot_trajectory(), qplot_techmix(), qplot_emission_intensity() output polished plots (#264). plot_trajectory(), plot_techmix(), plot_emission_intensity() now output basic plots. Error messages now closely follow tidyverse style guide (#324). plot_trajectory() now plots main line top lines, ’s longer hidden overlaps lines (#223). plot_techmix() “automotive” sector now coloured darkest colours corresponds least sustainable technology, .e. consistently technologies. pattern decreasing sustainability now also reflected order legend labels (#328).","code":""},{"path":"https://rmi-pacta.github.io/r2dii.plot/dev/news/index.html","id":"r2diiplot-001","dir":"Changelog","previous_headings":"","what":"r2dii.plot 0.0.1","title":"r2dii.plot 0.0.1","text":"CRAN release: 2021-06-21 Initial release.","code":""}]