context("Filter groups according to the number of non-missing values")
vector <- 1:12
group <- c("yellow", "yellow", rep(c("red", "blue"), 5))
col2hex <- function(col) rgb(t(col2rgb(col)), maxColorValue=255)
attr(group, "Colour") <- setNames(col2hex(unique(group)), unique(group))
test_that("Groups are ignored with less elements than the threshold", {
# Discard yellow for having low number of values
filtered <- filterGroups(vector, group, threshold=3)
res <- vector[-c(1:2)]
g <- group[-c(1:2)]
attr(g, "Colour") <- attr(group, "Colour")
attr(res, "Groups") <- g
expect_identical(filtered, res)
})
test_that("Groups are maintained with same elements as the threshold", {
# Do not discard any of those groups
filtered <- filterGroups(vector, group, threshold=2)
res <- vector
attr(res, "Groups") <- group
expect_identical(filtered, res)
})
context("Filter groups according to the number of non-missing values")
vector <- c(NA, 2:12)
group <- c("yellow", "yellow", rep(c("red", "blue"), 5))
test_that("Groups are ignored with less non-missing values than the threshold",{
# Discard yellow for having low number of non-NA values
filtered <- filterGroups(vector, group, threshold=2)
res <- vector[-c(1:2)]
attr(res, "Groups") <- group[-(1:2)]
expect_identical(filtered, res)
})
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