context("analysis.R tests ")
library(basicOmics)
get_example_data <- function(){
rds_to_load <-
c('example_dge_object.rds',
'example_voom_object.rds',
'example_fit_object.rds',
'expected_limma_res.rds') %>%
lapply(., function(x){
system.file('extdata',
x,
package = 'basicOmics',
mustWork = TRUE)
}) %>% setNames(., c('dge', 'v', 'fit', 'e_res'))
}
test_that('overlap_ratio calculates overlap correctly',{
x <- LETTERS[1:5]
y <- LETTERS[2:10]
expect_equal(overlap_ratio(x,y), .8)
})
test_that('get_overlap_matix produces correct overlap matrix',{
set.seed(42)
n_genes_to_sample <- rnbinom(3, 5, .2)
genes <- paste0('gene', seq(1, max(n_genes_to_sample)))
l1 <- lapply(seq_along(n_genes_to_sample), function(i){
n <- n_genes_to_sample[i]
sample(genes, n)
}) %>%
setNames(., paste0('L1_', LETTERS[1:length(n_genes_to_sample)]))
e_mat <- c(1.0000000, 1.0000000, 1.0000000, 1.0000000, 1.0000000, 0.4615385, 1.0000000, 0.4615385, 1.0) %>%
matrix(data=., nrow=3, ncol=3, dimnames = list(names(l1), names(l1)))
omat <- get_overlap_matix(l1)
expect_equivalent(e_mat, omat, tolerance=1e-6)
})
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