From 90fa2432a035407ccc64ef32ceebbe010e5740cf Mon Sep 17 00:00:00 2001 From: debruine Date: Wed, 19 Aug 2020 21:10:43 +0100 Subject: [PATCH] On CRAN! --- .Rbuildignore | 1 + DESCRIPTION | 2 +- NEWS.md | 2 +- README.Rmd | 12 +- README.html | 331 ++++++++++++++++-------------- README.md | 182 ++++++++-------- docs/CODE_OF_CONDUCT.html | 14 +- docs/LICENSE-text.html | 14 +- docs/LICENSE.html | 14 +- docs/authors.html | 18 +- docs/index.html | 39 ++-- docs/news/index.html | 85 +++++--- index.Rmd | 11 +- index.html | 14 +- index.md | 15 +- inst/CITATION | 2 +- man/figures/get-design-long-1.png | Bin 23061 -> 22957 bytes man/figures/plot-design-1.png | Bin 58959 -> 60730 bytes man/figures/plot-iris-sim-1.png | Bin 67016 -> 66252 bytes man/figures/plot-rnorm-pre-1.png | Bin 30252 -> 30627 bytes 20 files changed, 414 insertions(+), 342 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index cd53f1f9..e8893495 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -20,3 +20,4 @@ ^\.Rproj\.user$ ^CRAN-RELEASE$ ^LICENSE\.md$ +^cran-comments\.md$ diff --git a/DESCRIPTION b/DESCRIPTION index 8d2cfaa8..d470acdc 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -24,7 +24,7 @@ Authors@R: c( email = "andrew@andrewheiss.com", comment = c(ORCID = "0000-0002-3948-3914") )) -Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at . Described in DeBruine(2020) . +Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at . Described in DeBruine (2020) . Depends: R (>= 3.2.4) Imports: diff --git a/NEWS.md b/NEWS.md index b4a6856b..3bf254b5 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,6 @@ # faux 0.0.1.4 (2020-08-12) -* Even more fixes for CRAN +* Even more fixes for CRAN (on CRAN from 2009-08-19!) * Removed all `seed` arguments (at the request of CRAN) * Faster unit tests diff --git a/README.Rmd b/README.Rmd index 1aa478f7..98601d59 100644 --- a/README.Rmd +++ b/README.Rmd @@ -36,13 +36,18 @@ It is useful to be able to simulate data with a specified structure. The `faux` ## Installation -You can install the newest version of faux from [GitHub](https://github.com/debruine/faux) with: +You can install the released version of faux from [CRAN](https://CRAN.R-project.org) with: ``` r -devtools::install_github("debruine/faux", build_vignettes = TRUE) +install.packages("faux") ``` -Because faux is still in early development, some features will break in future versions. Include sessioninfo::package_info() in your script to list the versions of all loaded packages. +And the development version from [GitHub](https://github.com/debruine/faux) with: + +``` r +# install.packages("devtools") +devtools::install_github("debruine/faux") +``` ## How to use faux @@ -417,4 +422,3 @@ matrix(c(1, .3, -.9, .2, Please note that the [34m'faux'[39m project is released with a [Contributor Code of Conduct](https://github.com/debruine/faux/blob/master/CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms. - diff --git a/README.html b/README.html index 6ba78dd5..7f0e9b17 100644 --- a/README.html +++ b/README.html @@ -200,12 +200,16 @@

faux

Installation

-

You can install the newest version of faux from GitHub with:

+

You can install the released version of faux from CRAN with:

-
devtools::install_github("debruine/faux", build_vignettes = TRUE)
+
install.packages("faux")
 
-

Because faux is still in early development, some features will break in future versions. Include sessioninfo::package_info() in your script to list the versions of all loaded packages.

+

And the development version from GitHub with:

+ +
# install.packages("devtools")
+devtools::install_github("debruine/faux")
+

How to use faux

@@ -256,89 +260,89 @@

sim_design

cat 100 -morning -1.0 +evening 0.5 0.5 +1.0 0.5 -10 +14 5 cat 100 -noon -0.5 +morning 1.0 0.5 0.5 -12 +0.5 +10 5 cat 100 -evening +night 0.5 0.5 -1.0 0.5 -14 +1.0 +16 5 cat 100 -night +noon 0.5 +1.0 0.5 0.5 -1.0 -16 +12 5 dog 100 -morning -1.0 +evening 0.5 0.5 +1.0 0.5 -10 +20 5 dog 100 -noon -0.5 +morning 1.0 0.5 0.5 -15 +0.5 +10 5 dog 100 -evening +night 0.5 0.5 -1.0 0.5 -20 +1.0 +25 5 dog 100 -night +noon 0.5 +1.0 0.5 0.5 -1.0 -25 +15 5 @@ -364,7 +368,7 @@

sim_df

new_iris <- sim_df(iris, 50, between = "Species") 
 
-

Simulated iris dataset

+

Simulated iris dataset

sim_mixed_cc

@@ -387,20 +391,9 @@

sim_mixed_cc

lme4::lmer(y ~ 1 + (1 | sub_id) + (1 | item_id), data = dat) %>%
   broom.mixed::tidy() %>%
   knitr::kable(digits = 2)
-#> Registered S3 methods overwritten by 'broom.mixed':
-#>   method         from 
-#>   augment.lme    broom
-#>   augment.merMod broom
-#>   glance.lme     broom
-#>   glance.merMod  broom
-#>   glance.stanreg broom
-#>   tidy.brmsfit   broom
-#>   tidy.gamlss    broom
-#>   tidy.lme       broom
-#>   tidy.merMod    broom
-#>   tidy.rjags     broom
-#>   tidy.stanfit   broom
-#>   tidy.stanreg   broom
+#> Registered S3 method overwritten by 'broom.mixed':
+#>   method      from 
+#>   tidy.gamlss broom
 
@@ -476,6 +469,7 @@

rnorm_multi

varnames = c("A", "B", "C"), empirical = FALSE ) +#> The number of variables (vars) was guessed from the input to be 3
@@ -543,7 +537,7 @@

rnorm_pre

If empirical = FALSE (the default), this resulting vector is sampled from a population with the specified parameters (but won't have exactly those properties).

-

Distribution of 1000 samples from rnorm_pre

+

Distribution of 1000 samples from rnorm_pre

Additional functions {#add_func}

@@ -585,26 +579,6 @@

get_params

- - - - - - - - - - - - - - - - - - - - @@ -623,6 +597,26 @@

get_params

+ + + + + + + + + + + + + + + + + + + +
150Sepal.Length1.00-0.120.870.825.840.83
150Sepal.Width-0.121.00-0.43-0.373.060.44
150 Petal.Length 0.87 -0.43 1.20 0.76
150Sepal.Length1.00-0.120.870.825.840.83
150Sepal.Width-0.121.00-0.43-0.373.060.44

You can also group your data and change the digits to round.

@@ -648,28 +642,6 @@

get_params

setosa 50 -Sepal.Length -1.00 -0.74 -0.27 -0.28 -5.01 -0.35 - - -setosa -50 -Sepal.Width -0.74 -1.00 -0.18 -0.23 -3.43 -0.38 - - -setosa -50 Petal.Length 0.27 0.18 @@ -690,26 +662,26 @@

get_params

0.11 -versicolor +setosa 50 Sepal.Length 1.00 -0.53 -0.75 -0.55 -5.94 -0.52 +0.74 +0.27 +0.28 +5.01 +0.35 -versicolor +setosa 50 Sepal.Width -0.53 +0.74 1.00 -0.56 -0.66 -2.77 -0.31 +0.18 +0.23 +3.43 +0.38 versicolor @@ -734,26 +706,26 @@

get_params

0.20 -virginica +versicolor 50 Sepal.Length 1.00 -0.46 -0.86 -0.28 -6.59 -0.64 +0.53 +0.75 +0.55 +5.94 +0.52 -virginica +versicolor 50 Sepal.Width -0.46 +0.53 1.00 -0.40 -0.54 -2.97 -0.32 +0.56 +0.66 +2.77 +0.31 virginica @@ -777,6 +749,28 @@

get_params

2.03 0.27 + +virginica +50 +Sepal.Length +1.00 +0.46 +0.86 +0.28 +6.59 +0.64 + + +virginica +50 +Sepal.Width +0.46 +1.00 +0.40 +0.54 +2.97 +0.32 +

make_id

@@ -808,6 +802,7 @@

long2wide

+ @@ -815,36 +810,42 @@

long2wide

+ + + + + + @@ -873,8 +874,8 @@

long2wide

- + @@ -882,48 +883,48 @@

long2wide

- + - + - + - + - + - +
id pet day
1.S001.1 S001 cat 0.5230799 0.5415126
1.S002.1 S002 cat -1.2129722 -0.6874280
1.S003.1 S003 cat -0.5516822 -0.7844739
1.S004.1 S004 cat -0.6098251 -0.6234040
1.S005.1 S005 cat 0.2853363 2.3027620
1.S006.1 S006 cat -0.2490935 sub_id C A1_B1A1_B2 A2_B1A1_B2 A2_B2
1 C1 -0.3782026-0.5674500 0.0048040-0.5674500 0.6154273
2 C2 0.53388981.7815958 -1.64070511.7815958 -2.1325543
3 C1 1.27927870.6207239 1.49608440.6207239 1.7913821
4 C2 0.1885384-0.7397000 -0.0884940-0.7397000 0.0295121
5 C1 -0.30905090.9916406 -0.39421070.9916406 -0.2951152
6 C2 1.41682260.0634940 0.83413360.0634940 -1.1571559
@@ -940,6 +941,7 @@

wide2long

+ @@ -947,36 +949,42 @@

wide2long

+ + + + + + @@ -1000,51 +1008,58 @@

wide2long

id pet time
S001.1 S001 cat day -0.9012830
S002.1 S002 cat day -0.3205931
S003.1 S003 cat day -0.7733501
S004.1 S004 cat day -1.1861210
S005.1 S005 cat day -1.0848848
S006.1 S006 cat day
- + + - + + - + + - + + - + + - + + - + + @@ -1058,7 +1073,7 @@

get_design_long

design <- get_design_long(long_iris, dv = "value", id = "flower_id")
 
-

plot of chunk get-design-long

+

plot of chunk get-design-long

json_design

@@ -1068,7 +1083,7 @@

json_design

-{"within":{"feature":{"Petal":"Petal","Sepal":"Sepal"},"dimension":{"Length":"Length","Width":"Width"}},"between":{"Species":{"setosa":"setosa","versicolor":"versicolor","virginica":"virginica"}},"dv":{"value":"value"},"id":{"flower_id":"flower_id"},"n":{"setosa":50,"versicolor":50,"virginica":50},"mu":{"setosa":{"Petal_Length":1.462,"Petal_Width":0.246,"Sepal_Length":5.006,"Sepal_Width":3.428},"versicolor":{"Petal_Length":4.26,"Petal_Width":1.326,"Sepal_Length":5.936,"Sepal_Width":2.77},"virginica":{"Petal_Length":5.552,"Petal_Width":2.026,"Sepal_Length":6.588,"Sepal_Width":2.974}},"sd":{"setosa":{"Petal_Length":0.173664,"Petal_Width":0.10538559,"Sepal_Length":0.35248969,"Sepal_Width":0.37906437},"versicolor":{"Petal_Length":0.46991098,"Petal_Width":0.19775268,"Sepal_Length":0.51617115,"Sepal_Width":0.31379832},"virginica":{"Petal_Length":0.5518947,"Petal_Width":0.27465006,"Sepal_Length":0.63587959,"Sepal_Width":0.32249664}},"r":{"setosa":[[1,0.33163004,0.26717576,0.17769997],[0.33163004,1,0.27809835,0.23275201],[0.26717576,0.27809835,1,0.74254669],[0.17769997,0.23275201,0.74254669,1]],"versicolor":[[1,0.78666809,0.75404896,0.56052209],[0.78666809,1,0.54646107,0.66399872],[0.75404896,0.54646107,1,0.52591072],[0.56052209,0.66399872,0.52591072,1]],"virginica":[[1,0.32210822,0.86422473,0.40104458],[0.32210822,1,0.28110771,0.53772803],[0.86422473,0.28110771,1,0.45722782],[0.40104458,0.53772803,0.45722782,1]]}}
+{"within":{"feature":{"Sepal":"Sepal","Petal":"Petal"},"dimension":{"Length":"Length","Width":"Width"}},"between":{"Species":{"setosa":"setosa","versicolor":"versicolor","virginica":"virginica"}},"dv":{"value":"value"},"id":{"flower_id":"flower_id"},"n":{"setosa":50,"versicolor":50,"virginica":50},"mu":{"setosa":{"Sepal_Length":5.006,"Sepal_Width":3.428,"Petal_Length":1.462,"Petal_Width":0.246},"versicolor":{"Sepal_Length":5.936,"Sepal_Width":2.77,"Petal_Length":4.26,"Petal_Width":1.326},"virginica":{"Sepal_Length":6.588,"Sepal_Width":2.974,"Petal_Length":5.552,"Petal_Width":2.026}},"sd":{"setosa":{"Sepal_Length":0.35248969,"Sepal_Width":0.37906437,"Petal_Length":0.173664,"Petal_Width":0.10538559},"versicolor":{"Sepal_Length":0.51617115,"Sepal_Width":0.31379832,"Petal_Length":0.46991098,"Petal_Width":0.19775268},"virginica":{"Sepal_Length":0.63587959,"Sepal_Width":0.32249664,"Petal_Length":0.5518947,"Petal_Width":0.27465006}},"r":{"setosa":[[1,0.74254669,0.26717576,0.27809835],[0.74254669,1,0.17769997,0.23275201],[0.26717576,0.17769997,1,0.33163004],[0.27809835,0.23275201,0.33163004,1]],"versicolor":[[1,0.52591072,0.75404896,0.54646107],[0.52591072,1,0.56052209,0.66399872],[0.75404896,0.56052209,1,0.78666809],[0.54646107,0.66399872,0.78666809,1]],"virginica":[[1,0.45722782,0.86422473,0.28110771],[0.45722782,1,0.40104458,0.53772803],[0.86422473,0.40104458,1,0.32210822],[0.28110771,0.53772803,0.32210822,1]]}}
 
json_design(design, pretty = TRUE)
@@ -1078,8 +1093,8 @@ 

json_design

{ "within": { "feature": { - "Petal": "Petal", - "Sepal": "Sepal" + "Sepal": "Sepal", + "Petal": "Petal" }, "dimension": { "Length": "Length", @@ -1106,62 +1121,62 @@

json_design

}, "mu": { "setosa": { - "Petal_Length": 1.462, - "Petal_Width": 0.246, "Sepal_Length": 5.006, - "Sepal_Width": 3.428 + "Sepal_Width": 3.428, + "Petal_Length": 1.462, + "Petal_Width": 0.246 }, "versicolor": { - "Petal_Length": 4.26, - "Petal_Width": 1.326, "Sepal_Length": 5.936, - "Sepal_Width": 2.77 + "Sepal_Width": 2.77, + "Petal_Length": 4.26, + "Petal_Width": 1.326 }, "virginica": { - "Petal_Length": 5.552, - "Petal_Width": 2.026, "Sepal_Length": 6.588, - "Sepal_Width": 2.974 + "Sepal_Width": 2.974, + "Petal_Length": 5.552, + "Petal_Width": 2.026 } }, "sd": { "setosa": { - "Petal_Length": 0.173664, - "Petal_Width": 0.10538559, "Sepal_Length": 0.35248969, - "Sepal_Width": 0.37906437 + "Sepal_Width": 0.37906437, + "Petal_Length": 0.173664, + "Petal_Width": 0.10538559 }, "versicolor": { - "Petal_Length": 0.46991098, - "Petal_Width": 0.19775268, "Sepal_Length": 0.51617115, - "Sepal_Width": 0.31379832 + "Sepal_Width": 0.31379832, + "Petal_Length": 0.46991098, + "Petal_Width": 0.19775268 }, "virginica": { - "Petal_Length": 0.5518947, - "Petal_Width": 0.27465006, "Sepal_Length": 0.63587959, - "Sepal_Width": 0.32249664 + "Sepal_Width": 0.32249664, + "Petal_Length": 0.5518947, + "Petal_Width": 0.27465006 } }, "r": { "setosa": [ - [1, 0.33163004, 0.26717576, 0.17769997], - [0.33163004, 1, 0.27809835, 0.23275201], - [0.26717576, 0.27809835, 1, 0.74254669], - [0.17769997, 0.23275201, 0.74254669, 1] + [1, 0.74254669, 0.26717576, 0.27809835], + [0.74254669, 1, 0.17769997, 0.23275201], + [0.26717576, 0.17769997, 1, 0.33163004], + [0.27809835, 0.23275201, 0.33163004, 1] ], "versicolor": [ - [1, 0.78666809, 0.75404896, 0.56052209], - [0.78666809, 1, 0.54646107, 0.66399872], - [0.75404896, 0.54646107, 1, 0.52591072], - [0.56052209, 0.66399872, 0.52591072, 1] + [1, 0.52591072, 0.75404896, 0.54646107], + [0.52591072, 1, 0.56052209, 0.66399872], + [0.75404896, 0.56052209, 1, 0.78666809], + [0.54646107, 0.66399872, 0.78666809, 1] ], "virginica": [ - [1, 0.32210822, 0.86422473, 0.40104458], - [0.32210822, 1, 0.28110771, 0.53772803], - [0.86422473, 0.28110771, 1, 0.45722782], - [0.40104458, 0.53772803, 0.45722782, 1] + [1, 0.45722782, 0.86422473, 0.28110771], + [0.45722782, 1, 0.40104458, 0.53772803], + [0.86422473, 0.40104458, 1, 0.32210822], + [0.28110771, 0.53772803, 0.32210822, 1] ] } } @@ -1246,7 +1261,7 @@

is_pos_def

#> [1] FALSE
-

Please note that the [34m'faux'[39m project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

+

Please note that the [34m'faux'[39m project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

diff --git a/README.md b/README.md index 185d50bb..00670616 100644 --- a/README.md +++ b/README.md @@ -22,13 +22,18 @@ It is useful to be able to simulate data with a specified structure. The `faux` ## Installation -You can install the newest version of faux from [GitHub](https://github.com/debruine/faux) with: +You can install the released version of faux from [CRAN](https://CRAN.R-project.org) with: ``` r -devtools::install_github("debruine/faux", build_vignettes = TRUE) +install.packages("faux") ``` -Because faux is still in early development, some features will break in future versions. Include sessioninfo::package_info() in your script to list the versions of all loaded packages. +And the development version from [GitHub](https://github.com/debruine/faux) with: + +``` r +# install.packages("devtools") +devtools::install_github("debruine/faux") +``` ## How to use faux @@ -69,14 +74,14 @@ df <- sim_design(within, between, |pet | n|var | morning| noon| evening| night| mean| sd| |:---|---:|:-------|-------:|----:|-------:|-----:|----:|--:| -|cat | 100|morning | 1.0| 0.5| 0.5| 0.5| 10| 5| -|cat | 100|noon | 0.5| 1.0| 0.5| 0.5| 12| 5| |cat | 100|evening | 0.5| 0.5| 1.0| 0.5| 14| 5| +|cat | 100|morning | 1.0| 0.5| 0.5| 0.5| 10| 5| |cat | 100|night | 0.5| 0.5| 0.5| 1.0| 16| 5| -|dog | 100|morning | 1.0| 0.5| 0.5| 0.5| 10| 5| -|dog | 100|noon | 0.5| 1.0| 0.5| 0.5| 15| 5| +|cat | 100|noon | 0.5| 1.0| 0.5| 0.5| 12| 5| |dog | 100|evening | 0.5| 0.5| 1.0| 0.5| 20| 5| +|dog | 100|morning | 1.0| 0.5| 0.5| 0.5| 10| 5| |dog | 100|night | 0.5| 0.5| 0.5| 1.0| 25| 5| +|dog | 100|noon | 0.5| 1.0| 0.5| 0.5| 15| 5| Table: Sample `sim_design()` stats @@ -132,20 +137,9 @@ You can then see how changing these numbers affects the random effects in an int lme4::lmer(y ~ 1 + (1 | sub_id) + (1 | item_id), data = dat) %>% broom.mixed::tidy() %>% knitr::kable(digits = 2) -#> Registered S3 methods overwritten by 'broom.mixed': -#> method from -#> augment.lme broom -#> augment.merMod broom -#> glance.lme broom -#> glance.merMod broom -#> glance.stanreg broom -#> tidy.brmsfit broom -#> tidy.gamlss broom -#> tidy.lme broom -#> tidy.merMod broom -#> tidy.rjags broom -#> tidy.stanfit broom -#> tidy.stanreg broom +#> Registered S3 method overwritten by 'broom.mixed': +#> method from +#> tidy.gamlss broom ``` @@ -191,6 +185,7 @@ dat <- rnorm_multi( varnames = c("A", "B", "C"), empirical = FALSE ) +#> The number of variables (vars) was guessed from the input to be 3 ``` @@ -269,10 +264,10 @@ get_params(iris) | n|var | Sepal.Length| Sepal.Width| Petal.Length| Petal.Width| mean| sd| |---:|:------------|------------:|-----------:|------------:|-----------:|----:|----:| -| 150|Sepal.Length | 1.00| -0.12| 0.87| 0.82| 5.84| 0.83| -| 150|Sepal.Width | -0.12| 1.00| -0.43| -0.37| 3.06| 0.44| | 150|Petal.Length | 0.87| -0.43| 1.00| 0.96| 3.76| 1.77| | 150|Petal.Width | 0.82| -0.37| 0.96| 1.00| 1.20| 0.76| +| 150|Sepal.Length | 1.00| -0.12| 0.87| 0.82| 5.84| 0.83| +| 150|Sepal.Width | -0.12| 1.00| -0.43| -0.37| 3.06| 0.44| @@ -289,18 +284,18 @@ get_params(iris, |Species | n|var | Sepal.Length| Sepal.Width| Petal.Length| Petal.Width| mean| sd| |:----------|--:|:------------|------------:|-----------:|------------:|-----------:|----:|----:| -|setosa | 50|Sepal.Length | 1.00| 0.74| 0.27| 0.28| 5.01| 0.35| -|setosa | 50|Sepal.Width | 0.74| 1.00| 0.18| 0.23| 3.43| 0.38| |setosa | 50|Petal.Length | 0.27| 0.18| 1.00| 0.33| 1.46| 0.17| |setosa | 50|Petal.Width | 0.28| 0.23| 0.33| 1.00| 0.25| 0.11| -|versicolor | 50|Sepal.Length | 1.00| 0.53| 0.75| 0.55| 5.94| 0.52| -|versicolor | 50|Sepal.Width | 0.53| 1.00| 0.56| 0.66| 2.77| 0.31| +|setosa | 50|Sepal.Length | 1.00| 0.74| 0.27| 0.28| 5.01| 0.35| +|setosa | 50|Sepal.Width | 0.74| 1.00| 0.18| 0.23| 3.43| 0.38| |versicolor | 50|Petal.Length | 0.75| 0.56| 1.00| 0.79| 4.26| 0.47| |versicolor | 50|Petal.Width | 0.55| 0.66| 0.79| 1.00| 1.33| 0.20| -|virginica | 50|Sepal.Length | 1.00| 0.46| 0.86| 0.28| 6.59| 0.64| -|virginica | 50|Sepal.Width | 0.46| 1.00| 0.40| 0.54| 2.97| 0.32| +|versicolor | 50|Sepal.Length | 1.00| 0.53| 0.75| 0.55| 5.94| 0.52| +|versicolor | 50|Sepal.Width | 0.53| 1.00| 0.56| 0.66| 2.77| 0.31| |virginica | 50|Petal.Length | 0.86| 0.40| 1.00| 0.32| 5.55| 0.55| |virginica | 50|Petal.Width | 0.28| 0.54| 0.32| 1.00| 2.03| 0.27| +|virginica | 50|Sepal.Length | 1.00| 0.46| 0.86| 0.28| 6.59| 0.64| +|virginica | 50|Sepal.Width | 0.46| 1.00| 0.40| 0.54| 2.97| 0.32| @@ -339,14 +334,14 @@ df_wide <- long2wide(df_long) ``` -|id |pet | day| night| -|:----|:---|----------:|----------:| -|S001 |cat | 0.5230799| 0.5415126| -|S002 |cat | -1.2129722| -0.6874280| -|S003 |cat | -0.5516822| -0.7844739| -|S004 |cat | -0.6098251| -0.6234040| -|S005 |cat | 0.2853363| 2.3027620| -|S006 |cat | -0.2490935| -0.6530662| +| |id |pet | day| night| +|:--------|:----|:---|----------:|----------:| +|1.S001.1 |S001 |cat | 0.5230799| 0.5415126| +|1.S002.1 |S002 |cat | -1.2129722| -0.6874280| +|1.S003.1 |S003 |cat | -0.5516822| -0.7844739| +|1.S004.1 |S004 |cat | -0.6098251| -0.6234040| +|1.S005.1 |S005 |cat | 0.2853363| 2.3027620| +|1.S006.1 |S006 |cat | -0.2490935| -0.6530662| If you have a data table not made by faux, you need to specify the within-subject columns, the between-subject columns, the DV column, and the ID column. @@ -368,14 +363,14 @@ df_wide <- long2wide(df_long, within = c("A", "B"), -| sub_id|C | A1_B1| A1_B2| A2_B1| A2_B2| +| sub_id|C | A1_B1| A2_B1| A1_B2| A2_B2| |------:|:--|----------:|----------:|----------:|----------:| -| 1|C1 | -0.3782026| -0.5674500| 0.0048040| 0.6154273| -| 2|C2 | 0.5338898| 1.7815958| -1.6407051| -2.1325543| -| 3|C1 | 1.2792787| 0.6207239| 1.4960844| 1.7913821| -| 4|C2 | 0.1885384| -0.7397000| -0.0884940| 0.0295121| -| 5|C1 | -0.3090509| 0.9916406| -0.3942107| -0.2951152| -| 6|C2 | 1.4168226| 0.0634940| 0.8341336| -1.1571559| +| 1|C1 | -0.3782026| 0.0048040| -0.5674500| 0.6154273| +| 2|C2 | 0.5338898| -1.6407051| 1.7815958| -2.1325543| +| 3|C1 | 1.2792787| 1.4960844| 0.6207239| 1.7913821| +| 4|C2 | 0.1885384| -0.0884940| -0.7397000| 0.0295121| +| 5|C1 | -0.3090509| -0.3942107| 0.9916406| -0.2951152| +| 6|C2 | 1.4168226| 0.8341336| 0.0634940| -1.1571559| @@ -394,14 +389,14 @@ df_long <- wide2long(df_wide) -|id |pet |time | y| -|:----|:---|:----|----------:| -|S001 |cat |day | -0.9012830| -|S002 |cat |day | -0.3205931| -|S003 |cat |day | -0.7733501| -|S004 |cat |day | -1.1861210| -|S005 |cat |day | -1.0848848| -|S006 |cat |day | -0.4888620| +| |id |pet |time | y| +|:------|:----|:---|:----|----------:| +|S001.1 |S001 |cat |day | -0.9012830| +|S002.1 |S002 |cat |day | -0.3205931| +|S003.1 |S003 |cat |day | -0.7733501| +|S004.1 |S004 |cat |day | -1.1861210| +|S005.1 |S005 |cat |day | -1.0848848| +|S006.1 |S006 |cat |day | -0.4888620| @@ -423,14 +418,14 @@ long_iris <- wide2long( -|Species |flower_id |feature |dimension | value| -|:-------|:---------|:-------|:---------|-----:| -|setosa |S001 |Sepal |Length | 5.1| -|setosa |S002 |Sepal |Length | 4.9| -|setosa |S003 |Sepal |Length | 4.7| -|setosa |S004 |Sepal |Length | 4.6| -|setosa |S005 |Sepal |Length | 5.0| -|setosa |S006 |Sepal |Length | 5.4| +| |flower_id |Species |feature |dimension | value| +|:------|:---------|:-------|:-------|:---------|-----:| +|S001.1 |S001 |setosa |Sepal |Length | 5.1| +|S002.1 |S002 |setosa |Sepal |Length | 4.9| +|S003.1 |S003 |setosa |Sepal |Length | 4.7| +|S004.1 |S004 |setosa |Sepal |Length | 4.6| +|S005.1 |S005 |setosa |Sepal |Length | 5.0| +|S006.1 |S006 |setosa |Sepal |Length | 5.4| @@ -455,7 +450,7 @@ json_design(design) ```
-{"within":{"feature":{"Petal":"Petal","Sepal":"Sepal"},"dimension":{"Length":"Length","Width":"Width"}},"between":{"Species":{"setosa":"setosa","versicolor":"versicolor","virginica":"virginica"}},"dv":{"value":"value"},"id":{"flower_id":"flower_id"},"n":{"setosa":50,"versicolor":50,"virginica":50},"mu":{"setosa":{"Petal_Length":1.462,"Petal_Width":0.246,"Sepal_Length":5.006,"Sepal_Width":3.428},"versicolor":{"Petal_Length":4.26,"Petal_Width":1.326,"Sepal_Length":5.936,"Sepal_Width":2.77},"virginica":{"Petal_Length":5.552,"Petal_Width":2.026,"Sepal_Length":6.588,"Sepal_Width":2.974}},"sd":{"setosa":{"Petal_Length":0.173664,"Petal_Width":0.10538559,"Sepal_Length":0.35248969,"Sepal_Width":0.37906437},"versicolor":{"Petal_Length":0.46991098,"Petal_Width":0.19775268,"Sepal_Length":0.51617115,"Sepal_Width":0.31379832},"virginica":{"Petal_Length":0.5518947,"Petal_Width":0.27465006,"Sepal_Length":0.63587959,"Sepal_Width":0.32249664}},"r":{"setosa":[[1,0.33163004,0.26717576,0.17769997],[0.33163004,1,0.27809835,0.23275201],[0.26717576,0.27809835,1,0.74254669],[0.17769997,0.23275201,0.74254669,1]],"versicolor":[[1,0.78666809,0.75404896,0.56052209],[0.78666809,1,0.54646107,0.66399872],[0.75404896,0.54646107,1,0.52591072],[0.56052209,0.66399872,0.52591072,1]],"virginica":[[1,0.32210822,0.86422473,0.40104458],[0.32210822,1,0.28110771,0.53772803],[0.86422473,0.28110771,1,0.45722782],[0.40104458,0.53772803,0.45722782,1]]}}
+{"within":{"feature":{"Sepal":"Sepal","Petal":"Petal"},"dimension":{"Length":"Length","Width":"Width"}},"between":{"Species":{"setosa":"setosa","versicolor":"versicolor","virginica":"virginica"}},"dv":{"value":"value"},"id":{"flower_id":"flower_id"},"n":{"setosa":50,"versicolor":50,"virginica":50},"mu":{"setosa":{"Sepal_Length":5.006,"Sepal_Width":3.428,"Petal_Length":1.462,"Petal_Width":0.246},"versicolor":{"Sepal_Length":5.936,"Sepal_Width":2.77,"Petal_Length":4.26,"Petal_Width":1.326},"virginica":{"Sepal_Length":6.588,"Sepal_Width":2.974,"Petal_Length":5.552,"Petal_Width":2.026}},"sd":{"setosa":{"Sepal_Length":0.35248969,"Sepal_Width":0.37906437,"Petal_Length":0.173664,"Petal_Width":0.10538559},"versicolor":{"Sepal_Length":0.51617115,"Sepal_Width":0.31379832,"Petal_Length":0.46991098,"Petal_Width":0.19775268},"virginica":{"Sepal_Length":0.63587959,"Sepal_Width":0.32249664,"Petal_Length":0.5518947,"Petal_Width":0.27465006}},"r":{"setosa":[[1,0.74254669,0.26717576,0.27809835],[0.74254669,1,0.17769997,0.23275201],[0.26717576,0.17769997,1,0.33163004],[0.27809835,0.23275201,0.33163004,1]],"versicolor":[[1,0.52591072,0.75404896,0.54646107],[0.52591072,1,0.56052209,0.66399872],[0.75404896,0.56052209,1,0.78666809],[0.54646107,0.66399872,0.78666809,1]],"virginica":[[1,0.45722782,0.86422473,0.28110771],[0.45722782,1,0.40104458,0.53772803],[0.86422473,0.40104458,1,0.32210822],[0.28110771,0.53772803,0.32210822,1]]}}
 
@@ -468,8 +463,8 @@ json_design(design, pretty = TRUE) { "within": { "feature": { - "Petal": "Petal", - "Sepal": "Sepal" + "Sepal": "Sepal", + "Petal": "Petal" }, "dimension": { "Length": "Length", @@ -496,62 +491,62 @@ json_design(design, pretty = TRUE) }, "mu": { "setosa": { - "Petal_Length": 1.462, - "Petal_Width": 0.246, "Sepal_Length": 5.006, - "Sepal_Width": 3.428 + "Sepal_Width": 3.428, + "Petal_Length": 1.462, + "Petal_Width": 0.246 }, "versicolor": { - "Petal_Length": 4.26, - "Petal_Width": 1.326, "Sepal_Length": 5.936, - "Sepal_Width": 2.77 + "Sepal_Width": 2.77, + "Petal_Length": 4.26, + "Petal_Width": 1.326 }, "virginica": { - "Petal_Length": 5.552, - "Petal_Width": 2.026, "Sepal_Length": 6.588, - "Sepal_Width": 2.974 + "Sepal_Width": 2.974, + "Petal_Length": 5.552, + "Petal_Width": 2.026 } }, "sd": { "setosa": { - "Petal_Length": 0.173664, - "Petal_Width": 0.10538559, "Sepal_Length": 0.35248969, - "Sepal_Width": 0.37906437 + "Sepal_Width": 0.37906437, + "Petal_Length": 0.173664, + "Petal_Width": 0.10538559 }, "versicolor": { - "Petal_Length": 0.46991098, - "Petal_Width": 0.19775268, "Sepal_Length": 0.51617115, - "Sepal_Width": 0.31379832 + "Sepal_Width": 0.31379832, + "Petal_Length": 0.46991098, + "Petal_Width": 0.19775268 }, "virginica": { - "Petal_Length": 0.5518947, - "Petal_Width": 0.27465006, "Sepal_Length": 0.63587959, - "Sepal_Width": 0.32249664 + "Sepal_Width": 0.32249664, + "Petal_Length": 0.5518947, + "Petal_Width": 0.27465006 } }, "r": { "setosa": [ - [1, 0.33163004, 0.26717576, 0.17769997], - [0.33163004, 1, 0.27809835, 0.23275201], - [0.26717576, 0.27809835, 1, 0.74254669], - [0.17769997, 0.23275201, 0.74254669, 1] + [1, 0.74254669, 0.26717576, 0.27809835], + [0.74254669, 1, 0.17769997, 0.23275201], + [0.26717576, 0.17769997, 1, 0.33163004], + [0.27809835, 0.23275201, 0.33163004, 1] ], "versicolor": [ - [1, 0.78666809, 0.75404896, 0.56052209], - [0.78666809, 1, 0.54646107, 0.66399872], - [0.75404896, 0.54646107, 1, 0.52591072], - [0.56052209, 0.66399872, 0.52591072, 1] + [1, 0.52591072, 0.75404896, 0.54646107], + [0.52591072, 1, 0.56052209, 0.66399872], + [0.75404896, 0.56052209, 1, 0.78666809], + [0.54646107, 0.66399872, 0.78666809, 1] ], "virginica": [ - [1, 0.32210822, 0.86422473, 0.40104458], - [0.32210822, 1, 0.28110771, 0.53772803], - [0.86422473, 0.28110771, 1, 0.45722782], - [0.40104458, 0.53772803, 0.45722782, 1] + [1, 0.45722782, 0.86422473, 0.28110771], + [0.45722782, 1, 0.40104458, 0.53772803], + [0.86422473, 0.40104458, 1, 0.32210822], + [0.28110771, 0.53772803, 0.32210822, 1] ] } } @@ -631,4 +626,3 @@ matrix(c(1, .3, -.9, .2, Please note that the [34m'faux'[39m project is released with a [Contributor Code of Conduct](https://github.com/debruine/faux/blob/master/CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms. - diff --git a/docs/CODE_OF_CONDUCT.html b/docs/CODE_OF_CONDUCT.html index ff1c0f6d..1209c3cb 100644 --- a/docs/CODE_OF_CONDUCT.html +++ b/docs/CODE_OF_CONDUCT.html @@ -102,26 +102,26 @@
  • diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 4d3aca75..ce31eeec 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -102,26 +102,26 @@
  • diff --git a/docs/LICENSE.html b/docs/LICENSE.html index ee298a08..a8bf8b42 100644 --- a/docs/LICENSE.html +++ b/docs/LICENSE.html @@ -102,26 +102,26 @@
  • diff --git a/docs/authors.html b/docs/authors.html index 63addb9e..3e3e8406 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -102,26 +102,26 @@
  • @@ -152,7 +152,7 @@

    Citation

    Source: inst/CITATION -

    Lisa DeBruine (2020, August 3). faux: Simulation for Factorial Designs. R package version 0.0.1.2. Zenodo. http://doi.org/10.5281/zenodo.2669586

    +

    Lisa DeBruine (2020). faux: Simulation for Factorial Designs. R package version 0.0.1.4. Zenodo. http://doi.org/10.5281/zenodo.2669586

    @Manual{,
       title = {faux: Simulation for Factorial Designs},
       author = {Lisa DeBruine},
    @@ -160,7 +160,7 @@ 

    Citation

    publisher = {Zenodo}, year = {2020}, month = {August}, - note = {R package version 0.0.1.2}, + note = {R package version 0.0.1.4}, url = {https://debruine.github.io/faux/}, }
    diff --git a/docs/index.html b/docs/index.html index 159bd8df..a39ceb04 100644 --- a/docs/index.html +++ b/docs/index.html @@ -18,7 +18,7 @@ - + @@ -17,13 +21,18 @@ It is useful to be able to simulate data with a specified structure. The `faux` ## Installation -You can install the development version of faux from [GitHub](https://github.com/debruine/faux) with: +You can install the released version of faux from [CRAN](https://CRAN.R-project.org) with: ``` r -devtools::install_github("debruine/faux") +install.packages("faux") ``` -Because faux is still in early development, some features might break in future versions. Include sessioninfo::package_info() in your script to list the versions of all loaded packages. +And the development version from [GitHub](https://github.com/debruine/faux) with: + +``` r +# install.packages("devtools") +devtools::install_github("debruine/faux") +``` ## Quick overview diff --git a/inst/CITATION b/inst/CITATION index b390c189..5bd7a6e9 100644 --- a/inst/CITATION +++ b/inst/CITATION @@ -10,5 +10,5 @@ citEntry( month = "August", note = "R package version 0.0.1.4", url = "https://debruine.github.io/faux/", - textVersion = paste("Lisa DeBruine (2020, August 12). faux: Simulation for Factorial Designs. R package version 0.0.1.4. Zenodo. http://doi.org/10.5281/zenodo.2669586") + textVersion = paste("Lisa DeBruine (2020). faux: Simulation for Factorial Designs. R package version 0.0.1.4. 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  • Species flower_idSpecies feature dimension value
    setosaS001.1 S001setosa Sepal Length 5.1
    setosaS002.1 S002setosa Sepal Length 4.9
    setosaS003.1 S003setosa Sepal Length 4.7
    setosaS004.1 S004setosa Sepal Length 4.6
    setosaS005.1 S005setosa Sepal Length 5.0
    setosaS006.1 S006setosa Sepal Length 5.4