## Class: aucellResults
##
# Input:
# Output:
test_aucellResults <- function()
{
library(AUCell)
##################################################
# Create objects
set.seed(123)
exprMatrix <- matrix(data=sample(c(rep(0, 5000), sample(1:3, 5000, replace=TRUE))),
nrow=20)
rownames(exprMatrix) <- paste("Gene", 1:20, sep="")
colnames(exprMatrix) <- paste("Cell", 1:500, sep="")
cells_rankings <- suppressWarnings(AUCell_buildRankings(exprMatrix, plotStats=FALSE, verbose=FALSE))
fewGenes <- sample(rownames(exprMatrix), 10)
cellsAUC <- suppressWarnings(AUCell_calcAUC(fewGenes, cells_rankings, aucMaxRank=5))
##################################################
# Ranking
testthat::expect_equal(class(cells_rankings)[1], "aucellResults")
testthat::expect_equal(dim(cells_rankings), c(20,500))
testthat::expect_equal(dim(getRanking(cells_rankings)), c(20,500))
testthat::expect_error(getAUC(cells_rankings))
# AUC
testthat::expect_equal(class(cellsAUC)[1], "aucellResults")
testthat::expect_equal(dim(cellsAUC), c(1,500))
testthat::expect_equal(dim(getAUC(cellsAUC)), c(1,500))
testthat::expect_error(getRanking(cellsAUC))
# cbind
exprMatrix2 <- matrix(data=sample(c(rep(0, 100), sample(1:3, 20, replace=TRUE))),
nrow=20,
dimnames=list(paste("Gene", 1:20, sep=""),
paste("Cell", 500:505, sep="")))
cells_rankings2 <- suppressWarnings(AUCell_buildRankings(exprMatrix2, plotStats=FALSE, verbose=FALSE))
ok <- cbind(cells_rankings, cells_rankings2[,-1])
testthat::expect_error(cbind(cells_rankings, cells_rankings2[1:3,]))
testthat::expect_error(cbind(cells_rankings, cells_rankings2))
testthat::expect_error(rbind(cells_rankings, cells_rankings2))
}
test_that("aucellResults tests", test_aucellResults())
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