Nothing
test_that("Check residual variance calculation.", {
y <- c(-1, 1, 0, 1)
x <- as.matrix(c(1, 1, 1, 1))
# Observed variance.
obs_var <- ResidVar(y = y, X = x)
# Expected variance.
fit <- lm(y ~ 0 + x)
fit_summary <- summary(fit)
exp_var <- (fit_summary$sigma)^2
expect_equal(obs_var, exp_var, ignore_attr = TRUE)
})
# ------------------------------------------------------------------------------
test_that("Check score test calculation.", {
y <- c(-1, 1, 0, 1)
x <- as.matrix(c(1, 1, 1, 1))
g <- as.matrix(c(2, 1, 0, 2))
v <- 1
# Observed score.
obs_score <- Score(y = y, G = g, X = x, v = v)
# Expected score.
ey <- resid(lm(y ~ x))
eg <- resid(lm(g ~ x))
s <- t(g) %*% ey
gpg <- t(eg) %*% eg
exp_score <- as.numeric(t(s) %*% solve(gpg, s) / v)
expect_equal(obs_score, exp_score, ignore_attr = TRUE)
})
# ------------------------------------------------------------------------------
test_that("Overall check of score test.", {
withr::local_seed(1010)
# Null phenotype.
data <- DGP(prop_causal = 0.0)
p_omni_null <- COAST(
anno = data$anno,
geno = data$geno,
pheno = data$pheno,
include_orig_skato_all = FALSE,
include_orig_skato_ptv = FALSE,
score_test = TRUE
)
pvals <- p_omni_null@Pvals
p_omni <- as.numeric(pvals$pval[pvals$test == "omni"])
expect_gt(p_omni, 0.05)
# Associated phenotype.
data <- DGP(prop_causal = 1.0)
p_omni_alt <- COAST(
anno = data$anno,
geno = data$geno,
pheno = data$pheno,
include_orig_skato_all = FALSE,
include_orig_skato_ptv = FALSE,
score_test = TRUE
)
pvals <- p_omni_alt@Pvals
p_omni <- as.numeric(pvals$pval[pvals$test == "omni"])
expect_lt(p_omni, 0.05)
})
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