From 55f93323a9bac023d019904883387f90aa66d5fe Mon Sep 17 00:00:00 2001 From: Mauro Lepore Date: Thu, 21 Mar 2019 10:42:42 -0400 Subject: [PATCH] allo#72: Prefer expert over generic equations. --- .buildignore/dbh-vs-biomass.md | 16 +++++-- .../figure-gfm/unnamed-chunk-10-1.png | Bin 25641 -> 25531 bytes .../figure-gfm/unnamed-chunk-11-1.png | Bin 27921 -> 27896 bytes .../figure-gfm/unnamed-chunk-9-1.png | Bin 14211 -> 14189 bytes R/allo_find.R | 29 +++++++++---- R/default_eqn.R | 11 +++-- R/utils.R | 14 ++++++ tests/testthat/test-allo_find.R | 25 ++++++++++- tests/testthat/test-default_eqn.R | 10 ++++- tests/testthat/test-utils.R | 40 ++++++++++++++++++ 10 files changed, 127 insertions(+), 18 deletions(-) diff --git a/.buildignore/dbh-vs-biomass.md b/.buildignore/dbh-vs-biomass.md index 504a405..74db556 100644 --- a/.buildignore/dbh-vs-biomass.md +++ b/.buildignore/dbh-vs-biomass.md @@ -4,6 +4,15 @@ Plot dbh vs. biomass by species ``` r # Setup library(tidyverse) +#> -- Attaching packages --------------------------------------------- tidyverse 1.2.1 -- +#> v ggplot2 3.1.0 v purrr 0.3.1 +#> v tibble 2.0.1 v dplyr 0.8.0.1 +#> v tidyr 0.8.3 v stringr 1.4.0 +#> v readr 1.3.1 v forcats 0.4.0 +#> Warning: package 'purrr' was built under R version 3.5.3 +#> -- Conflicts ------------------------------------------------ tidyverse_conflicts() -- +#> x dplyr::filter() masks stats::filter() +#> x dplyr::lag() masks stats::lag() library(fgeo.biomass) ``` @@ -32,10 +41,11 @@ census_species <- census %>% census_equations <- allo_find(census_species) #> Assuming `dbh` in [mm] (required to find dbh-specific equations). -#> * Searching equations according to site and species. -#> Warning: Can't find equations matching these species: -#> acer sp, carya sp, crataegus sp, fraxinus sp, juniperus virginiana, quercus prinus, quercus sp, ulmus sp, unidentified unk +#> * Matching equations by site and species. #> * Refining equations according to dbh. +#> * Using generic equations where expert equations can't be found. +#> Warning: Can't find equations matching these species: +#> acer sp, carya sp, crataegus sp, fraxinus sp, juniperus virginiana, quercus prinus, quercus sp, ulmus sp, unidentified unk #> Warning: Can't find equations for 17132 rows (inserting `NA`). ``` diff --git a/.buildignore/dbh-vs-biomass_files/figure-gfm/unnamed-chunk-10-1.png b/.buildignore/dbh-vs-biomass_files/figure-gfm/unnamed-chunk-10-1.png index a14593401edb4731f6b7c18d1300301c1427f949..76eb9773c0aef9fc3500aee90a4a133c07d81b08 100644 GIT binary patch delta 20368 zcmY(qc|26_`#*lh*vc}A$o?vY60&C-gQBb>TUp!eyRmO)N~=Q1zD=oYMPg_ONysv0 z(ja@b8T-C({SNj1K0d#HJe)K4xzBZ9%kz3(*L|P-@35*S*oSTy_%vIfA(7ViVdiji z03yCg(V0-n7kpl}RBk%7L9j2LHuui5u{_PuaguPJ`Iu}Uk2K%4w3k2XUvU`jjw{I- z-}x*nE0@KaTL9AFQ$;G*Yj-YDDnzoyZaYPz&c|f-G9G!H58#-)U?`4vaO}xzOu(fN z>_F5FL1jSQ_rdl6>#y&Hj2MG4Q3@b#nec-l6hvYpc9%n^SH&!g?RE=8r@bOVR}+o9 zyAVK{JsVYg95!JonKF&=tf&RIyJlC#G)f`>GM(#r-TYvb#>V0wXC1QFpT*g=2Bq5C 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a/R/allo_find.R +++ b/R/allo_find.R @@ -3,18 +3,22 @@ allo_find_impl <- function(data, custom_eqn) { suppressMessages(fgeo.biomass::default_eqn(allodb::master_tidy())) abort_if_not_eqn(eqn) - inform("* Searching equations according to site and species.") + inform("* Matching equations by site and species.") .by <- c("sp", "site") - dbh_all <- dplyr::left_join(data, eqn, by = .by) - warn_if_species_missmatch(data, eqn) + matched <- dplyr::left_join(data, eqn, by = .by) inform("* Refining equations according to dbh.") - dbh_all$dbh_in_range <- is_in_range( - dbh_all$dbh, min = dbh_all$dbh_min_mm, max = dbh_all$dbh_max_mm + matched$dbh_in_range <- is_in_range( + matched$dbh, min = matched$dbh_min_mm, max = matched$dbh_max_mm ) - in_range <- filter(dbh_all, .data$dbh_in_range) - out <- suppressMessages(dplyr::left_join(data, in_range)) - out$dbh_in_range <- NULL + in_range <- filter(matched, .data$dbh_in_range) + refined <- suppressMessages(dplyr::left_join(data, in_range)) + refined$dbh_in_range <- NULL + + inform("* Using generic equations where expert equations can't be found.") + out <- prefer_expert_equaitons(refined) + + warn_if_species_missmatch(out, eqn) warn_if_missing_equations(out) out @@ -98,7 +102,7 @@ warn_if_species_missmatch <- function(data, eqn) { warn(glue(" Can't find equations matching these species: {missmatching} - ")) + ")) } invisible(data) @@ -114,3 +118,10 @@ warn_if_missing_equations <- function(data) { invisible(data) } + +prefer_expert_equaitons <- function(data) { + data %>% + group_by(.data$rowid) %>% + filter(replace_na(prefer_false(.data$is_generic), TRUE)) %>% + ungroup() +} diff --git a/R/default_eqn.R b/R/default_eqn.R index ffea482..a1a8026 100644 --- a/R/default_eqn.R +++ b/R/default_eqn.R @@ -52,7 +52,10 @@ modify_default_eqn <- function(out) { equation_allometry = NULL, anatomic_relevance = .data$dependent_variable_biomass_component, dbh_min_mm = measurements::conv_unit(.data$dbh_min_cm, "cm", to = "mm"), - dbh_max_mm = measurements::conv_unit(.data$dbh_max_cm, "cm", to = "mm") + dbh_max_mm = measurements::conv_unit(.data$dbh_max_cm, "cm", to = "mm"), + is_generic = dplyr::if_else( + tolower(.data$equation_group) == "generic", TRUE, FALSE + ) ) %>% dplyr::rename( sp = .data$species, @@ -102,7 +105,8 @@ crucial_equation_cols <- function() { "dbh_units_original", "biomass_units_original", "dbh_min_cm", - "dbh_max_cm" + "dbh_max_cm", + "equation_group" ) } @@ -117,6 +121,7 @@ output_cols <- function() { "dbh_unit", "bms_unit", "dbh_min_mm", - "dbh_max_mm" + "dbh_max_mm", + "is_generic" ) } diff --git a/R/utils.R b/R/utils.R index b69d03f..ae796f3 100644 --- a/R/utils.R +++ b/R/utils.R @@ -1,3 +1,17 @@ +prefer_false <- function(x) { + stopifnot(is.logical(x)) + if (all(x[!is.na(x)])) { + x + } else { + !x + } +} + +replace_na <- function(x, replacement) { + x[is.na(x)] <- replacement + x +} + is_in_range <- function(x, min, max) { x >= min & x <= max } diff --git a/tests/testthat/test-allo_find.R b/tests/testthat/test-allo_find.R index f2668d5..b470a61 100644 --- a/tests/testthat/test-allo_find.R +++ b/tests/testthat/test-allo_find.R @@ -1,9 +1,30 @@ context("allo_find") library(dplyr) - set.seed(1) +test_that("allo_find prefers expert over generic equations (allo#72)", { + cns_sp <- fgeo.biomass::scbi_tree1 %>% + dplyr::sample_n(1000) %>% + add_species(fgeo.biomass::scbi_species, "scbi") + + some_generic_equations <- any( + as.vector(na.omit( + suppressWarnings(allo_find(cns_sp))$is_generic + )) + ) + expect_true(some_generic_equations) + + out <- allo_find(cns_sp) + pref <- out %>% + group_by(rowid) %>% + filter( + replace_na(prefer_false(is_generic), TRUE) + ) %>% + ungroup() + expect_equal(out, pref) +}) + test_that("allo_find does not warn if dbh in [mm]", { data <- fgeo.biomass::scbi_tree1 %>% dplyr::sample_n(1000) %>% @@ -32,7 +53,7 @@ test_that("allo_find warns non matching species", { expect_warning( allo_find(census_species), - "Can't find equations matching these species" + "Can't find.*equations matching these species" ) }) diff --git a/tests/testthat/test-default_eqn.R b/tests/testthat/test-default_eqn.R index 4ce7aff..f42b586 100644 --- a/tests/testthat/test-default_eqn.R +++ b/tests/testthat/test-default_eqn.R @@ -1,5 +1,12 @@ context("default_eqn") +test_that("default_eqn `is_generic` maps to equation_group == 'Generic'", { + expect_equal( + default_eqn(allodb::master_tidy())$is_generic, + tolower(allodb::master_tidy()$equation_group) == "generic" + ) +}) + test_that("defualt_eqn outputs dbh_min and dbh_max in [mm]", { data <- default_eqn(allodb::master_tidy()) @@ -23,7 +30,8 @@ test_that("default_eqn has expected columns", { "dbh_unit", "bms_unit", "dbh_min_mm", - "dbh_max_mm" + "dbh_max_mm", + "is_generic" ) expect_named(default_eqn(allodb::master_tidy()), nms) }) diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R index 5fa9c58..71a2f44 100644 --- a/tests/testthat/test-utils.R +++ b/tests/testthat/test-utils.R @@ -1,3 +1,43 @@ +context("prefer_false") + +expect_equal(prefer_false(c(T, NA)), c(T, NA)) +expect_equal(prefer_false(c(F, NA)), c(T, NA)) +expect_equal(prefer_false(c(F, NA, T)), c(T, NA, F)) + +expect_equal( + replace_na( + prefer_false(c(F, NA, T)), + TRUE + ), + c(T, T, F) +) + +expect_equal(prefer_false(c(T)), c(T)) +expect_equal(prefer_false(c(F)), c(T)) +expect_equal(prefer_false(c(F, T)), c(T, F)) +expect_equal(prefer_false(c(T, T)), c(T, T)) +expect_equal(prefer_false(c(T, F, F)), c(F, T, T)) + +dfm <- tibble::tribble( + ~id, ~lgl, + 1, TRUE, + 1, FALSE, + 2, FALSE, + 3, TRUE, +) + +# Ungrouped +out <- filter(dfm, prefer_false(lgl)) +expect_equal(out$id, c(1, 2)) +expect_equal(out$lgl, c(FALSE, FALSE)) + +# Grouped +out <- filter(group_by(dfm, id), prefer_false(lgl)) +expect_equal(out$id, c(1, 2, 3)) +expect_equal(out$lgl, c(FALSE, FALSE, TRUE)) + + + context("is_in_range") test_that("is_in_range returns true if in range, else returns false", {