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context('spectra_metadata_colourScheme_UI_helper()')
# UI specific function that returns a vector of spectra colours
skip_if_not_installed('faahKO', minimum_version = '1.18.0')
library(faahKO)
# remove Rplots.pdf created by ggplot2
on.exit( tryCatch({ file.remove('./Rplots.pdf') }, error=function(e){ invisible() }, warning=function(w){ invisible() }) )
## Input data
# spectraPaths
input_spectraPaths <- c(system.file('cdf/KO/ko15.CDF', package = "faahKO"),
system.file('cdf/KO/ko16.CDF', package = "faahKO"),
system.file('cdf/KO/ko18.CDF', package = "faahKO"))
# targetFeatTable
input_targetFeatTable <- data.frame(matrix(vector(), 2, 8, dimnames=list(c(), c("cpdID", "cpdName", "rtMin", "rt", "rtMax", "mzMin", "mz", "mzMax"))), stringsAsFactors=FALSE)
input_targetFeatTable[1,] <- c("ID-1", "Cpd 1", 3310., 3344.888, 3390., 522.194778, 522.2, 522.205222)
input_targetFeatTable[2,] <- c("ID-2", "Cpd 2", 3280., 3385.577, 3440., 496.195038, 496.2, 496.204962)
input_targetFeatTable[,c(3:8)] <- sapply(input_targetFeatTable[,c(3:8)], as.numeric)
# cpdMetadata
input_cpdMetadata <- data.frame(matrix(data=c('a','b',1,2), nrow=2, ncol=2, dimnames=list(c(),c('testcol1','testcol2')), byrow=FALSE), stringsAsFactors=FALSE)
# spectraMetadata
input_spectraMetadata <- data.frame(matrix(data=c('c','d','e',3,4,5), nrow=3, ncol=2, dimnames=list(c(),c('testcol1','testcol2')), byrow=FALSE), stringsAsFactors=FALSE)
# Object, fully filled
annotation <- peakPantheRAnnotation(spectraPaths=input_spectraPaths, targetFeatTable=input_targetFeatTable, cpdMetadata=input_cpdMetadata, spectraMetadata=input_spectraMetadata)
test_that('splColrColum is NULL', {
# input
input_annotation <- annotation
# expected
expected_colr <- NULL
# results (output, warnings and messages)
result_colr <- evaluate_promise(
spectra_metadata_colourScheme_UI_helper(annot = input_annotation,
splColrColumn = NULL))
# Check colour vector generated
expect_equal(result_colr$result, expected_colr)
})
test_that('splColrColum is None', {
# input
input_annotation <- annotation
# expected
expected_colr <- NULL
# results (output, warnings and messages)
result_colr <- evaluate_promise(
spectra_metadata_colourScheme_UI_helper(annot = input_annotation,
splColrColumn = 'None'))
# Check colour vector generated
expect_equal(result_colr$result, expected_colr)
})
test_that('splColrColum is not a spectraMetadata column name', {
# input
input_annotation <- annotation
# expected
expected_colr <- NULL
# results (output, warnings and messages)
result_colr <- evaluate_promise(
spectra_metadata_colourScheme_UI_helper(annot = input_annotation,
splColrColumn = 'notAColumn'))
# Check colour vector generated
expect_equal(result_colr$result, expected_colr)
})
test_that('splColrColum is a spectraMetadata column name', {
# input
input_annotation <- annotation
# expected
expected_colr <- c("blue", "red", "green")
# results (output, warnings and messages)
result_colr <- evaluate_promise(
spectra_metadata_colourScheme_UI_helper(annot = input_annotation,
splColrColumn = 'testcol1'))
# Check colour vector generated
expect_equal(result_colr$result, expected_colr)
})
test_that('12 unique colour (recycle colour palette)', {
# input
large_spectraPaths <- c(system.file('cdf/KO/ko15.CDF', package = "faahKO"),
system.file('cdf/KO/ko16.CDF', package = "faahKO"),
system.file('cdf/KO/ko18.CDF', package = "faahKO"),
system.file('cdf/KO/ko19.CDF', package = "faahKO"),
system.file('cdf/KO/ko21.CDF', package = "faahKO"),
system.file('cdf/KO/ko22.CDF', package = "faahKO"),
system.file('cdf/WT/wt15.CDF', package = "faahKO"),
system.file('cdf/WT/wt16.CDF', package = "faahKO"),
system.file('cdf/WT/wt18.CDF', package = "faahKO"),
system.file('cdf/WT/wt19.CDF', package = "faahKO"),
system.file('cdf/WT/wt21.CDF', package = "faahKO"),
system.file('cdf/WT/wt22.CDF', package = "faahKO"))
large_spectraMetadata <- data.frame(matrix(data=c(1,2,3,4,5,6,7,8,9,10,11,12), nrow=12, ncol=1, dimnames=list(c(),c('testcol1')), byrow=FALSE), stringsAsFactors=FALSE)
largeAnnotation <- peakPantheRAnnotation(spectraPaths=large_spectraPaths, targetFeatTable=input_targetFeatTable, cpdMetadata=input_cpdMetadata, spectraMetadata=large_spectraMetadata)
# expected
expected_colr <- c("blue", "red", "green", "orange", "purple", "seagreen",
"darkturquoise", "violetred", "saddlebrown", "black",
"blue", "red")
# results (output, warnings and messages)
result_colr <- evaluate_promise(
spectra_metadata_colourScheme_UI_helper(annot = largeAnnotation,
splColrColumn = 'testcol1'))
# Check colour vector generated
expect_equal(result_colr$result, expected_colr)
})
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