Nothing
library(propr)
data(mail)
test_that("lrv without weights matches vlrRcpp", {
expect_equal(
propr:::lltRcpp(propr:::vlrRcpp(mail[])),
propr:::lrv(mail, mail)
)
})
data(iris)
keep <- iris$Species %in% c("setosa", "versicolor")
counts <- iris[keep, 1:4] * 10
group <- ifelse(iris[keep, "Species"] == "setosa", "A", "B")
if(requireNamespace("limma", quietly = TRUE)){
test_that("propd returns correct theta result", {
expect_equal(
propr:::calculateTheta_old(counts, group)$theta,
propd(counts, group, p = 3)@results$theta
)
expect_equal(
propr:::calculateThetaW_old(counts, group)$theta,
propd(counts, group, p = 3, weighted = TRUE)@results$theta
)
expect_equal(
propr:::alphaTheta_old(counts, group, alpha = .1)$atheta,
propd(counts, group, p = 3, alpha = .1)@results$theta
)
pdaw <- propd(counts, group, p = 3, weighted = TRUE, alpha = .1)
expect_equal(
propr:::alphaThetaW_old(counts, group, alpha = .1, pdaw@weights)$theta,
pdaw@results$theta
)
})
test_that("propd calculates correct lrm result", {
expect_equal(
propr:::calculateTheta_old(counts, group)$lrm1,
propd(counts, group, p = 3)@results$lrm1
)
expect_equal(
propr:::calculateThetaW_old(counts, group)$lrm1,
propd(counts, group, p = 3, weighted = TRUE)@results$lrm1
)
expect_equal(
propr:::alphaTheta_old(counts, group, alpha = .1)$alrm1,
propd(counts, group, p = 3, alpha = .1)@results$lrm1
)
pdaw <- propd(counts, group, p = 3, weighted = TRUE, alpha = .1)
expect_equal(
propr:::alphaThetaW_old(counts, group, alpha = .1, pdaw@weights)$awlrm1,
pdaw@results$lrm1
)
})
}
test_that("shuffling group labels does not change lrv", {
expect_equal(
propr:::calculateTheta(counts[sample(1:100), ], group)$lrv,
propr:::calculateTheta(counts, group)$lrv
)
expect_equal(
propr:::calculateTheta(counts, group[sample(1:100)])$lrv,
propr:::calculateTheta(counts, group)$lrv
)
})
set.seed(1)
theta <- propr:::calculateTheta_old(counts, group)
ptheta <- propr:::permuteTheta_prime(counts, group, p = 5)
pt <- propr:::calculateFDR(theta, ptheta, cutoff = seq(.95, 1, .01))
set.seed(1)
pd <- propd(counts, group, p = 5)
pd <- updateCutoffs(pd, cutoff = seq(.95, 1, .01))
test_that("propd FDR mirrors permuteTheta_prime", {
expect_equal(
pt$FDR,
pd@fdr$FDR
)
})
n1 <- 50
n2 <- 50
test_that("active theta_e matches calculation using theta_d", {
expect_equal(
setActive(pd, what = "theta_e")@results$theta,
1 - pd@results$theta + pmin((n1-1) * pd@results$lrv1, (n2-1) * pd@results$lrv2) / ((n1+n2-1) * pd@results$lrv)
)
})
test_that("active theta_f matches calculation using theta_e", {
expect_equal(
setActive(pd, what = "theta_f")@results$theta,
1 - setActive(pd, what = "theta_e")@results$theta
)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.