Nothing
context("dplyr test")
library(magrittr)
tt <- pbmc_small %>% tidy()
test_that("arrange", {
tt_pca_aranged <-
tt %>%
arrange(groups) %>%
scater::logNormCounts() %>%
scater::runPCA()
tt_pca <-
tt %>%
scater::logNormCounts() %>%
scater::runPCA()
expect_equal(
reducedDims(tt_pca_aranged)$PCA[sort(colnames(tt_pca_aranged)), 1:3] %>% abs() %>% head(),
reducedDims(tt_pca_aranged)$PCA[sort(colnames(tt_pca_aranged)), 1:3] %>% abs() %>% head(),
tollerance = 1e-3
)
})
test_that("bind_rows", {
tt_bind <- bind_rows(tt, tt)
tt_bind %>%
select(cell) %>%
tidySingleCellExperiment:::to_tib() %>%
dplyr::count(cell) %>%
dplyr::count(n) %>%
nrow() %>%
expect_equal(1)
})
test_that("bind_cols", {
tt_bind <- tt %>% select(groups)
tt %>%
bind_cols(tt_bind) %>%
select(groups...7) %>%
ncol() %>%
expect_equal(1)
})
test_that("distinct", {
tt %>%
distinct(groups) %>%
ncol() %>%
expect_equal(1)
})
test_that("filter", {
tt %>%
filter(groups == "g1") %>%
ncol() %>%
expect_equal(44)
})
test_that("group_by", {
tt %>%
group_by(groups) %>%
nrow() %>%
expect_equal(80)
})
test_that("summarise", {
tt %>%
summarise(mean(nCount_RNA)) %>%
nrow() %>%
expect_equal(1)
})
test_that("mutate", {
tt %>%
mutate(groups = 1) %>%
distinct(groups) %>%
nrow() %>%
expect_equal(1)
})
test_that("rename", {
tt %>%
rename(s_score = groups) %>%
select(s_score) %>%
ncol() %>%
expect_equal(1)
})
test_that("left_join", {
tt %>%
left_join(tt %>%
distinct(groups) %>%
mutate(new_column = 1:2)) %>%
colData() %>%
ncol() %>%
expect_equal(10)
})
test_that("inner_join", {
tt %>%
inner_join(tt %>%
distinct(groups) %>%
mutate(new_column = 1:2) %>%
slice(1)) %>%
ncol() %>%
expect_equal(36)
})
test_that("right_join", {
tt %>%
right_join(tt %>%
distinct(groups) %>%
mutate(new_column = 1:2) %>%
slice(1)) %>%
ncol() %>%
expect_equal(36)
})
test_that("full_join", {
tt %>%
full_join(tibble::tibble(groups = "g1", other = 1:4)) %>%
nrow() %>%
expect_equal(212)
})
test_that("slice", {
tt %>%
slice(1) %>%
ncol() %>%
expect_equal(1)
})
test_that("select", {
tt %>%
select(cell, orig.ident) %>%
class() %>%
as.character() %>%
expect_equal("tidySingleCellExperiment")
tt %>%
select(orig.ident) %>%
class() %>%
as.character() %>%
.[1] %>%
expect_equal("tbl_df")
})
test_that("sample_n", {
tt %>%
sample_n(50) %>%
ncol() %>%
expect_equal(50)
})
test_that("sample_frac", {
tt %>%
sample_frac(0.1) %>%
ncol() %>%
expect_equal(8)
})
test_that("count", {
tt %>%
count(groups) %>%
nrow() %>%
expect_equal(2)
})
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