Nothing
context("test-plot")
set.seed(1234)
annotdata <- data.frame(sample = c(rep("down", 5), rep("up", 5)),
samplename = paste0("sample", 1:10),
row.names = paste0("sample", 1:10))
mat_testdata <- rbind(matrix(c(rnorm(80), rnorm(80) + 5), 16, 10,
dimnames = list(TBsignatures$Zak_RISK_16,
paste0("sample", 1:10))),
matrix(rnorm(1000), 100, 10,
dimnames = list(paste0("gene", 1:100),
paste0("sample", 1:10))))
df_testdata <- data.frame(mat_testdata)
SE_testdata <- SummarizedExperiment::SummarizedExperiment(
assays = S4Vectors::SimpleList(data = mat_testdata),
colData = S4Vectors::DataFrame(sample = c(rep("down", 5), rep("up", 5)),
samplename = paste0("sample", 1:10),
samplenum = c(1:5, 1:5)))
SE_wres <- runTBsigProfiler(SE_testdata, useAssay = "data",
signatures = list(sig1 = paste0("gene", 1:10)),
algorithm = "ssGSEA", parallel.sz = 1)
dfres <- runTBsigProfiler(SE_testdata, useAssay = "data",
outputFormat = "data.frame",
signatures = list(sig1 = paste0("gene", 1:10)),
algorithm = "ssGSEA", parallel.sz = 1)
df_errornames <- dfres
colnames(df_errornames)[1] <- "errorname"
terrorname <- t(df_errornames)
SummarizedExperiment::colData(SE_wres)$`Notfac` <- c(rep("yes", 5),
rep("no", 5))
test_that("Missing annotationData", {
#signatureHeatmap
expect_error(
signatureHeatmap(inputData = SE_wres),
"argument \"signatureColNames\" is missing, with no default")
expect_error(
signatureHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "group"),
"Annotation column name not found in inputData.")
expect_error(
signatureHeatmap(inputData = SE_wres, signatureColNames = c("sig1", "sig1"),
annotationColNames = "group"),
"Duplicate signature column name is not supported.")
expect_error(
signatureHeatmap(inputData = SE_wres, signatureColNames = c("sig2"),
annotationColNames = "group"),
"Signature column name not found in inputData.")
expect_error(
signatureHeatmap(inputData = df_errornames, annotationData = annotdata),
"Annotation data and signature data does not match.")
expect_error(
signatureHeatmap(inputData = terrorname, annotationData = annotdata),
"Annotation data and signature data does not match.")
expect_error(
signatureHeatmap(inputData = df_errornames[, 1:5],
annotationData = annotdata),
"Annotation data and signature data does not match.")
expect_error(
signatureHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "sample", scale = TRUE,
split_heatmap = "wrong"),
"The column specified in 'split_heatmap' must be in the matrix or data.frame
provided by 'annotationSignature'")
expect_error(
signatureHeatmap(inputData = dfres,
annotationData = NULL,
scale = TRUE,
split_heatmap = "none"),
"annotationData must be provided for a data.frame input object.")
#signatureBoxplot
expect_error(
signatureBoxplot(inputData = SE_wres),
"argument \"signatureColNames\" is missing, with no default")
expect_error(
signatureBoxplot(inputData = SE_wres,
signatureColNames = "sig1"),
"argument \"annotationColName\" is missing, with no default")
expect_error(
signatureBoxplot(inputData = SE_wres,
annotationColName = "sample",
signatureColNames = "sig2"),
"Signature column name not found in inputData.")
expect_error(
signatureBoxplot(inputData = SE_wres,
annotationColName = "sample",
signatureColNames = c("sig1", "sig1")),
"Duplicate signature column name is not supported.")
expect_error(
signatureBoxplot(inputData = SE_wres,
annotationColName = c("sample", "sample"),
signatureColNames = "sig1"),
"You must specify a single annotation column name to color boxplots by.")
expect_error(
signatureBoxplot(inputData = SE_wres,
annotationColName = "samplea",
signatureColNames = "sig1"),
"Annotation column name not found in inputData.")
expect_error(
signatureBoxplot(inputData = dfres,
annotationData = annotdata),
"annotationData must have only one column.")
expect_error(
signatureBoxplot(inputData = df_errornames,
annotationData = annotdata[, 1, drop = FALSE]),
"Annotation data and signature data does not match.")
expect_error(
signatureBoxplot(inputData = terrorname,
annotationData = annotdata[, 1, drop = FALSE]),
"Annotation data and signature data does not match.")
expect_error(
signatureBoxplot(inputData = SE_wres, annotationColName = "samplename",
signatureColNames = "sig1"),
"Too many levels in the annotation data. The boxplot can contain a maximum of 9 levels")
expect_error(
signatureBoxplot(inputData = df_errornames[, 1:5],
annotationData = annotdata[, 1, drop = FALSE]),
"Annotation data and signature data does not match.")
expect_error(
distinctColors(10, hues = "peuce"),
"Only color names listed in the \'color\' function can be used in \'hues\'")
#signatureGeneHeatmap
expect_error(
signatureGeneHeatmap(),
"argument \"inputData\" is missing, with no default")
expect_error(
signatureGeneHeatmap(inputData = SE_wres),
"argument \"useAssay\" is missing, with no default")
expect_error(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data"),
"argument \"sigGenes\" is missing, with no default")
expect_error(
signatureGeneHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "sample"),
"argument \"useAssay\" is missing, with no default")
expect_error(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
signatureColNames = "sig1",
annotationColNames = "sample"),
"argument \"sigGenes\" is missing, with no default")
expect_error(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
annotationColNames = c("sample"),
colList = list("wrong" = c("yes" = "blue"))),
"The colList is out of sync with the annotation columns")
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
annotationColNames = c("sample")),
"HeatmapList")
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
annotationColNames = c("Notfac")),
"HeatmapList")
})
test_that("SummarizedExperiment Plot Works", {
expect_is(
signatureHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "sample"),
"HeatmapList"
)
expect_is(
signatureHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "sample", scale = TRUE,
split_heatmap = "none"),
"HeatmapList"
)
expect_is(
signatureHeatmap(inputData = SE_wres, signatureColNames = "sig1",
annotationColNames = "sample", scale = TRUE,
split_heatmap = "none"),
"HeatmapList"
)
#signatureBoxplot
expect_is(
signatureBoxplot(inputData = SE_wres, annotationColName = "sample",
signatureColNames = "sig1"),
"ggplot"
)
expect_is(
signatureBoxplot(inputData = SE_wres, annotationColName = "sample",
signatureColNames = "sig1", scale = TRUE),
"ggplot"
)
expect_is(
signatureBoxplot(inputData = SE_wres, annotationColName = "samplenum",
signatureColNames = "sig1"),
"ggplot"
)
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16),
"HeatmapList"
)
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
signatureColNames = "sig1"),
"HeatmapList"
)
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
annotationColNames = c("sample")),
"HeatmapList"
)
expect_is(
signatureGeneHeatmap(inputData = SE_wres, useAssay = "data",
sigGenes = TBsignatures$Zak_RISK_16,
signatureColNames = "sig1",
annotationColNames = c("sample", "samplename")),
"HeatmapList"
)
})
test_that("DataFrame Plot Works", {
expect_is(
signatureHeatmap(inputData = dfres,
annotationData = annotdata,
signatureColNames = c("sig1")),
"HeatmapList"
)
expect_is(
signatureBoxplot(inputData = dfres,
annotationData = annotdata[, 1, drop = FALSE],
rotateLabels = TRUE),
"ggplot"
)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.