tests/testthat/test_summarize_group_cols.R
In LudvigOlsen/R-splitters: Creating Groups from Data
library(groupdata2)
context("summarize_group_cols()")
test_that("testing summarize_group_cols()", {
xpectr::set_test_seed(42)
# The dataset from the example
df <- data.frame(
"some_var" = runif(25),
"grp_1" = factor(sample(1:5, size = 25, replace=TRUE)),
"grp_2" = factor(sample(1:8, size = 25, replace=TRUE)),
"grp_3" = factor(sample(LETTERS[1:3], size = 25, replace=TRUE)),
"grp_4" = factor(sample(LETTERS[1:12], size = 25, replace=TRUE))
)
# Manual tests
# First check that the dataset is as we expect it
## Testing 'df' ####
## Initially generated by xpectr
xpectr::set_test_seed(42)
# Testing class
expect_equal(
class(df),
"data.frame",
fixed = TRUE)
# Testing column values
expect_equal(
df[["some_var"]],
c(0.91481, 0.93708, 0.28614, 0.83045, 0.64175, 0.5191, 0.73659,
0.13467, 0.65699, 0.70506, 0.45774, 0.71911, 0.93467, 0.25543,
0.46229, 0.94001, 0.97823, 0.11749, 0.475, 0.56033, 0.90403,
0.13871, 0.98889, 0.94667, 0.08244),
tolerance = 1e-4)
expect_equal(
df[["grp_1"]],
structure(c(3L, 2L, 5L, 3L, 5L, 4L, 5L, 2L, 4L, 1L, 5L, 1L, 2L,
5L, 4L, 2L, 3L, 1L, 5L, 3L, 5L, 5L, 4L, 5L, 4L), .Label = c("1",
"2", "3", "4", "5"), class = "factor"))
expect_equal(
df[["grp_2"]],
structure(c(3L, 3L, 4L, 7L, 1L, 6L, 6L, 2L, 3L, 5L, 6L, 8L, 7L,
5L, 7L, 2L, 3L, 7L, 6L, 2L, 1L, 2L, 2L, 4L, 2L), .Label = c("1",
"2", "3", "4", "5", "6", "7", "8"), class = "factor"))
expect_equal(
df[["grp_3"]],
structure(c(3L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 3L, 2L, 1L, 1L,
1L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 2L, 3L, 2L), .Label = c("A",
"B", "C"), class = "factor"))
expect_equal(
df[["grp_4"]],
structure(c(6L, 2L, 2L, 3L, 10L, 10L, 7L, 7L, 5L, 1L, 6L, 9L, 8L,
4L, 5L, 5L, 1L, 3L, 6L, 8L, 3L, 3L, 5L, 6L, 7L), .Label = c("A",
"C", "E", "F", "G", "H", "I", "J", "K", "L"), class = "factor"))
# Testing column names
expect_equal(
names(df),
c("some_var", "grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(df),
c("numeric", "factor", "factor", "factor", "factor"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(df),
c("double", "integer", "integer", "integer", "integer"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(df),
c(25L, 5L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(df)),
character(0),
fixed = TRUE)
## Finished testing 'df' ####
# Manually calculate the summary statistics
summaries_long <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = TRUE)
expect_equal(
summaries_long$`Num Groups`,
c(length(unique(df$grp_1)), length(unique(df$grp_2)),
length(unique(df$grp_3)), length(unique(df$grp_4)))
)
expect_equal(
summaries_long$`Mean Rows`,
c(mean(table(df$grp_1)), mean(table(df$grp_2)),
mean(table(df$grp_3)), mean(table(df$grp_4)))
)
expect_equal(
summaries_long$`Median Rows`,
c(median(table(df$grp_1)), median(table(df$grp_2)),
median(table(df$grp_3)), median(table(df$grp_4)))
)
expect_equal(
summaries_long$`Std Rows`,
c(sd(table(df$grp_1)), sd(table(df$grp_2)),
sd(table(df$grp_3)), sd(table(df$grp_4)))
)
expect_equal(
summaries_long$`Min Rows`,
c(min(table(df$grp_1)), min(table(df$grp_2)),
min(table(df$grp_3)), min(table(df$grp_4)))
)
expect_equal(
summaries_long$`Max Rows`,
c(max(table(df$grp_1)), max(table(df$grp_2)),
max(table(df$grp_3)), max(table(df$grp_4)))
)
# Compare to wide format
summaries_wide <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = FALSE)
get_stats_for_row <- function(long_summ, grp){
r <- long_summ[long_summ[["Group Column"]] == grp, ]
r <- r[2:length(r)]
unname(unlist(r))
}
expect_equal(
summaries_wide$grp_1,
get_stats_for_row(summaries_long, "grp_1")
)
expect_equal(
summaries_wide$grp_2,
get_stats_for_row(summaries_long, "grp_2")
)
expect_equal(
summaries_wide$grp_3,
get_stats_for_row(summaries_long, "grp_3")
)
expect_equal(
summaries_wide$grp_4,
get_stats_for_row(summaries_long, "grp_4")
)
# Generate expectations for 'summarize_group_cols'
# Tip: comment out the gxs_function() call
# so it is easy to regenerate the tests
xpectr::set_test_seed(42)
# xpectr::gxs_function(
# fn = summarize_group_cols,
# args_values = list(
# "data" = list(df, 1:10),
# "group_cols" = list(paste0("grp_", 1:4), "grp_5", NA),
# "long" = list(TRUE, FALSE, NA, "Nope")
# ),
# indentation = 2,
# copy_env = FALSE
# )
## Testing 'summarize_group_cols' ####
## Initially generated by xpectr
# Testing different combinations of argument values
# Testing summarize_group_cols(data = df, group_cols =...
xpectr::set_test_seed(42)
# Assigning output
output_19148 <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = TRUE)
# Testing class
expect_equal(
class(output_19148),
c("tbl_df", "tbl", "data.frame"),
fixed = TRUE)
# Testing column values
expect_equal(
output_19148[["Group Column"]],
c("grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
expect_equal(
output_19148[["Num Groups"]],
c(5, 8, 3, 10),
tolerance = 1e-4)
expect_equal(
output_19148[["Mean Rows"]],
c(5, 3.125, 8.33333, 2.5),
tolerance = 1e-4)
expect_equal(
output_19148[["Median Rows"]],
c(4, 3, 8, 2),
tolerance = 1e-4)
expect_equal(
output_19148[["Std Rows"]],
c(2.34521, 1.64208, 1.52753, 1.17851),
tolerance = 1e-4)
expect_equal(
output_19148[["IQR Rows"]],
c(1, 2, 1.5, 1.75),
tolerance = 1e-4)
expect_equal(
output_19148[["Min Rows"]],
c(3, 1, 7, 1),
tolerance = 1e-4)
expect_equal(
output_19148[["Max Rows"]],
c(9, 6, 10, 4),
tolerance = 1e-4)
# Testing column names
expect_equal(
names(output_19148),
c("Group Column", "Num Groups", "Mean Rows", "Median Rows", "Std Rows",
"IQR Rows", "Min Rows", "Max Rows"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(output_19148),
c("character", "numeric", "numeric", "numeric", "numeric", "numeric",
"numeric", "numeric"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(output_19148),
c("character", "double", "double", "double", "double", "double",
"double", "double"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(output_19148),
c(4L, 8L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(output_19148)),
character(0),
fixed = TRUE)
# Testing summarize_group_cols(data = 1:10, group_cols...
# Changed from baseline: data = 1:10
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_19370 <- xpectr::capture_side_effects(summarize_group_cols(data = 1:10, group_cols = paste0("grp_", 1:4), long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_19370[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'data': Must be of type 'data.frame', not 'integer'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_19370[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = NULL, group_cols...
# Changed from baseline: data = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_12861 <- xpectr::capture_side_effects(summarize_group_cols(data = NULL, group_cols = paste0("grp_", 1:4), long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_12861[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'data': Must be of type 'data.frame', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_12861[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = "grp_5"
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_18304 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = "grp_5", long = TRUE), reset_seed = TRUE)
expect_match(
xpectr::strip(side_effects_18304[['error']], lowercase = TRUE),
xpectr::strip("must include the elements {grp_5}.", lowercase = TRUE),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_18304[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = NA
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_16417 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = NA, long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_16417[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'group_cols': Contains missing values (element 1)."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_16417[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_15190 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = NULL, long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_15190[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'group_cols': Must be of type 'character', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_15190[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = FALSE
xpectr::set_test_seed(42)
# Assigning output
output_17365 <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = FALSE)
# Testing class
expect_equal(
class(output_17365),
c("tbl_df", "tbl", "data.frame"),
fixed = TRUE)
# Testing column values
expect_equal(
output_17365[["Measure"]],
c("Num Groups", "Mean Rows", "Median Rows", "Std Rows", "IQR Rows",
"Min Rows", "Max Rows"),
fixed = TRUE)
expect_equal(
output_17365[["grp_1"]],
c(5, 5, 4, 2.34521, 1, 3, 9),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_2"]],
c(8, 3.125, 3, 1.64208, 2, 1, 6),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_3"]],
c(3, 8.33333, 8, 1.52753, 1.5, 7, 10),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_4"]],
c(10, 2.5, 2, 1.17851, 1.75, 1, 4),
tolerance = 1e-4)
# Testing column names
expect_equal(
names(output_17365),
c("Measure", "grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(output_17365),
c("character", "numeric", "numeric", "numeric", "numeric"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(output_17365),
c("character", "double", "double", "double", "double"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(output_17365),
c(7L, 5L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(output_17365)),
character(0),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = NA
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_11346 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = NA), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_11346[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': May not be NA."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_11346[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = "Nope"
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_16569 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = "Nope"), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_16569[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': Must be of type 'logical flag', not 'character'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_16569[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_17050 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = NULL), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_17050[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': Must be of type 'logical flag', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_17050[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
## Finished testing 'summarize_group_cols' ####
#
})
LudvigOlsen/R-splitters documentation built on March 7, 2024, 6:59 p.m.
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library(groupdata2)
context("summarize_group_cols()")
test_that("testing summarize_group_cols()", {
xpectr::set_test_seed(42)
# The dataset from the example
df <- data.frame(
"some_var" = runif(25),
"grp_1" = factor(sample(1:5, size = 25, replace=TRUE)),
"grp_2" = factor(sample(1:8, size = 25, replace=TRUE)),
"grp_3" = factor(sample(LETTERS[1:3], size = 25, replace=TRUE)),
"grp_4" = factor(sample(LETTERS[1:12], size = 25, replace=TRUE))
)
# Manual tests
# First check that the dataset is as we expect it
## Testing 'df' ####
## Initially generated by xpectr
xpectr::set_test_seed(42)
# Testing class
expect_equal(
class(df),
"data.frame",
fixed = TRUE)
# Testing column values
expect_equal(
df[["some_var"]],
c(0.91481, 0.93708, 0.28614, 0.83045, 0.64175, 0.5191, 0.73659,
0.13467, 0.65699, 0.70506, 0.45774, 0.71911, 0.93467, 0.25543,
0.46229, 0.94001, 0.97823, 0.11749, 0.475, 0.56033, 0.90403,
0.13871, 0.98889, 0.94667, 0.08244),
tolerance = 1e-4)
expect_equal(
df[["grp_1"]],
structure(c(3L, 2L, 5L, 3L, 5L, 4L, 5L, 2L, 4L, 1L, 5L, 1L, 2L,
5L, 4L, 2L, 3L, 1L, 5L, 3L, 5L, 5L, 4L, 5L, 4L), .Label = c("1",
"2", "3", "4", "5"), class = "factor"))
expect_equal(
df[["grp_2"]],
structure(c(3L, 3L, 4L, 7L, 1L, 6L, 6L, 2L, 3L, 5L, 6L, 8L, 7L,
5L, 7L, 2L, 3L, 7L, 6L, 2L, 1L, 2L, 2L, 4L, 2L), .Label = c("1",
"2", "3", "4", "5", "6", "7", "8"), class = "factor"))
expect_equal(
df[["grp_3"]],
structure(c(3L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 3L, 2L, 1L, 1L,
1L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 2L, 3L, 2L), .Label = c("A",
"B", "C"), class = "factor"))
expect_equal(
df[["grp_4"]],
structure(c(6L, 2L, 2L, 3L, 10L, 10L, 7L, 7L, 5L, 1L, 6L, 9L, 8L,
4L, 5L, 5L, 1L, 3L, 6L, 8L, 3L, 3L, 5L, 6L, 7L), .Label = c("A",
"C", "E", "F", "G", "H", "I", "J", "K", "L"), class = "factor"))
# Testing column names
expect_equal(
names(df),
c("some_var", "grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(df),
c("numeric", "factor", "factor", "factor", "factor"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(df),
c("double", "integer", "integer", "integer", "integer"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(df),
c(25L, 5L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(df)),
character(0),
fixed = TRUE)
## Finished testing 'df' ####
# Manually calculate the summary statistics
summaries_long <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = TRUE)
expect_equal(
summaries_long$`Num Groups`,
c(length(unique(df$grp_1)), length(unique(df$grp_2)),
length(unique(df$grp_3)), length(unique(df$grp_4)))
)
expect_equal(
summaries_long$`Mean Rows`,
c(mean(table(df$grp_1)), mean(table(df$grp_2)),
mean(table(df$grp_3)), mean(table(df$grp_4)))
)
expect_equal(
summaries_long$`Median Rows`,
c(median(table(df$grp_1)), median(table(df$grp_2)),
median(table(df$grp_3)), median(table(df$grp_4)))
)
expect_equal(
summaries_long$`Std Rows`,
c(sd(table(df$grp_1)), sd(table(df$grp_2)),
sd(table(df$grp_3)), sd(table(df$grp_4)))
)
expect_equal(
summaries_long$`Min Rows`,
c(min(table(df$grp_1)), min(table(df$grp_2)),
min(table(df$grp_3)), min(table(df$grp_4)))
)
expect_equal(
summaries_long$`Max Rows`,
c(max(table(df$grp_1)), max(table(df$grp_2)),
max(table(df$grp_3)), max(table(df$grp_4)))
)
# Compare to wide format
summaries_wide <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = FALSE)
get_stats_for_row <- function(long_summ, grp){
r <- long_summ[long_summ[["Group Column"]] == grp, ]
r <- r[2:length(r)]
unname(unlist(r))
}
expect_equal(
summaries_wide$grp_1,
get_stats_for_row(summaries_long, "grp_1")
)
expect_equal(
summaries_wide$grp_2,
get_stats_for_row(summaries_long, "grp_2")
)
expect_equal(
summaries_wide$grp_3,
get_stats_for_row(summaries_long, "grp_3")
)
expect_equal(
summaries_wide$grp_4,
get_stats_for_row(summaries_long, "grp_4")
)
# Generate expectations for 'summarize_group_cols'
# Tip: comment out the gxs_function() call
# so it is easy to regenerate the tests
xpectr::set_test_seed(42)
# xpectr::gxs_function(
# fn = summarize_group_cols,
# args_values = list(
# "data" = list(df, 1:10),
# "group_cols" = list(paste0("grp_", 1:4), "grp_5", NA),
# "long" = list(TRUE, FALSE, NA, "Nope")
# ),
# indentation = 2,
# copy_env = FALSE
# )
## Testing 'summarize_group_cols' ####
## Initially generated by xpectr
# Testing different combinations of argument values
# Testing summarize_group_cols(data = df, group_cols =...
xpectr::set_test_seed(42)
# Assigning output
output_19148 <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = TRUE)
# Testing class
expect_equal(
class(output_19148),
c("tbl_df", "tbl", "data.frame"),
fixed = TRUE)
# Testing column values
expect_equal(
output_19148[["Group Column"]],
c("grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
expect_equal(
output_19148[["Num Groups"]],
c(5, 8, 3, 10),
tolerance = 1e-4)
expect_equal(
output_19148[["Mean Rows"]],
c(5, 3.125, 8.33333, 2.5),
tolerance = 1e-4)
expect_equal(
output_19148[["Median Rows"]],
c(4, 3, 8, 2),
tolerance = 1e-4)
expect_equal(
output_19148[["Std Rows"]],
c(2.34521, 1.64208, 1.52753, 1.17851),
tolerance = 1e-4)
expect_equal(
output_19148[["IQR Rows"]],
c(1, 2, 1.5, 1.75),
tolerance = 1e-4)
expect_equal(
output_19148[["Min Rows"]],
c(3, 1, 7, 1),
tolerance = 1e-4)
expect_equal(
output_19148[["Max Rows"]],
c(9, 6, 10, 4),
tolerance = 1e-4)
# Testing column names
expect_equal(
names(output_19148),
c("Group Column", "Num Groups", "Mean Rows", "Median Rows", "Std Rows",
"IQR Rows", "Min Rows", "Max Rows"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(output_19148),
c("character", "numeric", "numeric", "numeric", "numeric", "numeric",
"numeric", "numeric"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(output_19148),
c("character", "double", "double", "double", "double", "double",
"double", "double"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(output_19148),
c(4L, 8L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(output_19148)),
character(0),
fixed = TRUE)
# Testing summarize_group_cols(data = 1:10, group_cols...
# Changed from baseline: data = 1:10
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_19370 <- xpectr::capture_side_effects(summarize_group_cols(data = 1:10, group_cols = paste0("grp_", 1:4), long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_19370[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'data': Must be of type 'data.frame', not 'integer'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_19370[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = NULL, group_cols...
# Changed from baseline: data = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_12861 <- xpectr::capture_side_effects(summarize_group_cols(data = NULL, group_cols = paste0("grp_", 1:4), long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_12861[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'data': Must be of type 'data.frame', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_12861[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = "grp_5"
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_18304 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = "grp_5", long = TRUE), reset_seed = TRUE)
expect_match(
xpectr::strip(side_effects_18304[['error']], lowercase = TRUE),
xpectr::strip("must include the elements {grp_5}.", lowercase = TRUE),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_18304[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = NA
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_16417 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = NA, long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_16417[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'group_cols': Contains missing values (element 1)."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_16417[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: group_cols = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_15190 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = NULL, long = TRUE), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_15190[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'group_cols': Must be of type 'character', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_15190[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = FALSE
xpectr::set_test_seed(42)
# Assigning output
output_17365 <- summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = FALSE)
# Testing class
expect_equal(
class(output_17365),
c("tbl_df", "tbl", "data.frame"),
fixed = TRUE)
# Testing column values
expect_equal(
output_17365[["Measure"]],
c("Num Groups", "Mean Rows", "Median Rows", "Std Rows", "IQR Rows",
"Min Rows", "Max Rows"),
fixed = TRUE)
expect_equal(
output_17365[["grp_1"]],
c(5, 5, 4, 2.34521, 1, 3, 9),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_2"]],
c(8, 3.125, 3, 1.64208, 2, 1, 6),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_3"]],
c(3, 8.33333, 8, 1.52753, 1.5, 7, 10),
tolerance = 1e-4)
expect_equal(
output_17365[["grp_4"]],
c(10, 2.5, 2, 1.17851, 1.75, 1, 4),
tolerance = 1e-4)
# Testing column names
expect_equal(
names(output_17365),
c("Measure", "grp_1", "grp_2", "grp_3", "grp_4"),
fixed = TRUE)
# Testing column classes
expect_equal(
xpectr::element_classes(output_17365),
c("character", "numeric", "numeric", "numeric", "numeric"),
fixed = TRUE)
# Testing column types
expect_equal(
xpectr::element_types(output_17365),
c("character", "double", "double", "double", "double"),
fixed = TRUE)
# Testing dimensions
expect_equal(
dim(output_17365),
c(7L, 5L))
# Testing group keys
expect_equal(
colnames(dplyr::group_keys(output_17365)),
character(0),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = NA
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_11346 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = NA), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_11346[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': May not be NA."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_11346[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = "Nope"
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_16569 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = "Nope"), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_16569[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': Must be of type 'logical flag', not 'character'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_16569[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
# Testing summarize_group_cols(data = df, group_cols =...
# Changed from baseline: long = NULL
xpectr::set_test_seed(42)
# Testing side effects
# Assigning side effects
side_effects_17050 <- xpectr::capture_side_effects(summarize_group_cols(data = df, group_cols = paste0("grp_", 1:4), long = NULL), reset_seed = TRUE)
expect_equal(
xpectr::strip(side_effects_17050[['error']]),
xpectr::strip("1 assertions failed:\n * Variable 'long': Must be of type 'logical flag', not 'NULL'."),
fixed = TRUE)
expect_equal(
xpectr::strip(side_effects_17050[['error_class']]),
xpectr::strip(c("simpleError", "error", "condition")),
fixed = TRUE)
## Finished testing 'summarize_group_cols' ####
#
})
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