library(moanin)
data(exampleData)
library(limma)
context("moanin::DE_timepoints.R")
test_that("DE_timepoints::create_timepoints_contrasts", {
#change group variable to check that works everywhere
colnames(testMeta)<-c("Index","condition","replicate","time")
moanin_model = create_moanin_model(data=testData,meta=testMeta,
group_variable_name="condition",
time_variable_name="time")
expect_silent(contrasts<-create_timepoints_contrasts( moanin_model,"M", "C"))
expect_silent(contrasts<-create_timepoints_contrasts( moanin_model,"M",
type="per_group_timepoint_diff"))
expect_silent(contrasts<-create_timepoints_contrasts( moanin_model,"M", "C",
type="group_and_timepoint_diff"))
# can't give two groups for this contrast
expect_error(contrasts<-create_timepoints_contrasts( moanin_model,"M", "C",
type="per_group_timepoint_diff"))
# Now drop timepoint 6 in condition C. That should raise a warning
mask = !((testMeta$condition == "C") & (testMeta$time == 6))
msg = paste0("timepoint 6 is missing in condition C")
expect_warning(create_timepoints_contrasts(moanin_model[,mask],
"M", "C"), msg)
expect_silent( DE_timepoints(moanin_model,
contrasts=contrasts, use_voom_weights=FALSE))
# Create a second moanin model with counts
moanin_model_counts = create_moanin_model(
data=round(exp(testData)), meta=testMeta,
log_transform=TRUE,
group_variable_name="condition",
time_variable_name="time")
expect_silent( DE_timepoints(moanin_model_counts,
contrasts=contrasts, use_voom_weights=TRUE))
#Check add replicate
expect_silent( DE_timepoints(moanin_model_counts,
contrasts=contrasts, use_voom_weights=TRUE,
add_factors="replicate"))
expect_error( DE_timepoints(moanin_model_counts,
contrasts=contrasts, use_voom_weights=TRUE,
add_factors="Reps"),"Error in creating the design matrix")
})
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