library(propr)
data(iris)
met.rel <- iris[,1:2]
mic.rel <- iris[,3:4]
# Analyze multi-omics via back-end
clr <- function(x) sweep(log(x), 1, rowMeans(log(x)), "-")
REL <- cbind(clr(met.rel), clr(mic.rel))
pr.r <- propr:::lr2rho(as.matrix(REL))
colnames(pr.r) <- colnames(REL)
rownames(pr.r) <- colnames(REL)
# Analyze multi-omics with wrapper
ivarNA <- propr(REL, ivar = NA)
test_that("ivar = NA works as expected", {
expect_equal(
NA,
ivarNA@ivar
)
expect_equal(
pr.r,
ivarNA@matrix
)
expect_equal(
ivarNA@counts,
ivarNA@logratio
)
})
# Test updateCutoffs for the ivar = NA wrapper
set.seed(1)
pr_auto <- propr(iris[,1:4])
clr <- function(x) sweep(log(x), 1, rowMeans(log(x)), "-")
myCLR <- clr(iris[,1:4])
set.seed(1)
pr_manual <- propr(myCLR, ivar = NA)
pr_auto <- updateCutoffs(pr_auto, cutoff = seq(0, 1, .05))
pr_manual <- updateCutoffs(pr_manual, cutoff = seq(0, 1, .05))
test_that("ivar = NA will work with FDR", {
expect_equal(
pr_auto@fdr,
pr_manual@fdr
)
})
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