# test w4mclassfilter::w4m_filter_by_sample_class
expect_equivalent_length <- function(target, current, info) {
expect_equivalent(length(target), length(current), info = info)
}
expect_all_equal <- function(target, current, info) {
expect_equivalent_length(target = target, current = current, info = info)
expect_true(all.equal(target = target, current = current, info = info))
}
read_data_frame <- function(file_path, kind_string, failure_action = print) {
# ---
# read in the data frame
my.env <- new.env()
my.env$success <- FALSE
my.env$msg <- sprintf("no message reading %s", kind_string)
tryCatch(
expr = {
my.env$data <- utils::read.delim( fill = FALSE, file = file_path )
my.env$success <- TRUE
}
, error = function(e) {
my.env$ msg <- sprintf("%s read failed", kind_string)
}
)
if (!my.env$success) {
failure_action(my.env$msg)
return ( FALSE )
}
return (my.env)
}
run_noimputenofilter_test <- function(classes_to_filter, class_column, samplename_column = "sampleMetadata", false_to_exclude_classes_in_filter) {
# set up variables
variableMetadata_in <- "input_variableMetadata.tsv"
variableMetadata_out <- "output_variableMetadata.tsv"
variableMetadata_exp <- "expected_nofilter_variableMetadata.tsv"
sampleMetadata_in <- "input_sampleMetadata.tsv"
sampleMetadata_out <- "output_sampleMetadata.tsv"
sampleMetadata_exp <- "expected_nofilter_sampleMetadata.tsv"
dataMatrix_in <- "input_dataMatrix.tsv"
dataMatrix_out <- "output_noimputenofilter_dataMatrix.tsv"
dataMatrix_exp <- "expected_noimputenofilter_dataMatrix.tsv"
# test input files
data_matrix_input_env <- read_data_frame(dataMatrix_in, "data matrix input")
expect_true(data_matrix_input_env$success, info = "read data matrix input")
rm(data_matrix_input_env)
sample_metadata_input_env <- read_data_frame(sampleMetadata_in, "sample metadata input")
expect_true(sample_metadata_input_env$success, info = "read sample metadata input")
rm(sample_metadata_input_env)
variable_metadata_input_env <- read_data_frame(variableMetadata_in, "variable metadata input")
expect_true(variable_metadata_input_env$success, info = "read variable metadata input")
rm(variable_metadata_input_env)
# filter, impute, and write output
filter_result <- w4m_filter_by_sample_class(
dataMatrix_in = dataMatrix_in
, dataMatrix_out = dataMatrix_out
, variableMetadata_in = variableMetadata_in
, variableMetadata_out = variableMetadata_out
, sampleMetadata_out = sampleMetadata_out
, sampleMetadata_in = sampleMetadata_in
, samplename_column = samplename_column
, classes = classes_to_filter
, include = false_to_exclude_classes_in_filter
, class_column = class_column
, data_imputation = w4m_filter_no_imputation # function(m): imputation method is for 'intb' data, where intensities have background subtracted - impute zero for NA
)
expect_true(filter_result, info = "filter_result should be true")
# read actual output files
data_matrix_output_env <- read_data_frame(dataMatrix_out, "data matrix output")
expect_true(data_matrix_output_env$success, info = "read data matrix output")
sample_metadata_output_env <- read_data_frame(sampleMetadata_out, "sample metadata output")
expect_true(sample_metadata_output_env$success, info = "read sample metadata output")
variable_metadata_output_env <- read_data_frame(variableMetadata_out, "variable metadata output")
expect_true(variable_metadata_output_env$success, info = "read variable metadata output")
# read expected output files
data_matrix_expected_env <- read_data_frame(dataMatrix_exp, "data matrix expected")
expect_true(data_matrix_expected_env$success, info = "read data matrix expected")
sample_metadata_expected_env <- read_data_frame(sampleMetadata_exp, "sample metadata expected")
expect_true(sample_metadata_expected_env$success, info = "read sample metadata expected")
variable_metadata_expected_env <- read_data_frame(variableMetadata_exp, "variable metadata expected")
expect_true(variable_metadata_expected_env$success, info = "read variable metadata expected")
# compare actuals with expecteds
expect_equivalent_length(data_matrix_output_env$data, data_matrix_expected_env$data, info = "validate data matrix")
expect_equivalent_length(sample_metadata_output_env$data, sample_metadata_expected_env$data, info = "validate sample metadata")
expect_equivalent_length(variable_metadata_output_env$data, variable_metadata_expected_env$data, info = "validate variable metadata")
expect_equivalent(data_matrix_output_env$data, data_matrix_expected_env$data, info = "validate data matrix")
expect_equivalent(sample_metadata_output_env$data, sample_metadata_expected_env$data, info = "validate sample metadata")
expect_equivalent(variable_metadata_output_env$data, variable_metadata_expected_env$data, info = "validate variable metadata")
}
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 1t - empty class_column", {
run_noimputenofilter_test(
classes_to_filter = c("M")
, class_column = ""
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = TRUE
)
})
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 3t - empty classes_to_to_filter", {
run_noimputenofilter_test(
classes_to_filter = c()
, class_column = "gender"
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = TRUE
)
})
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 1f - empty class_column", {
run_noimputenofilter_test(
classes_to_filter = c("M")
, class_column = ""
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = FALSE
)
})
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 3f - empty classes_to_to_filter", {
run_noimputenofilter_test(
classes_to_filter = c()
, class_column = "gender"
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = FALSE
)
})
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 2.1 - regex_include_all", {
run_noimputenofilter_test(
classes_to_filter = c("[MF]")
, class_column = "gender"
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = TRUE
)
})
#' @import testthat w4mclassfilter
#' @export
test_that("noimputenofilter test 2.2 - regex_include_all", {
run_noimputenofilter_test(
classes_to_filter = c("[Mm],[fF]")
, class_column = "gender"
, samplename_column = "sampleMetadata"
, false_to_exclude_classes_in_filter = TRUE)
})
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