test_asymp: Asymptotic test
In ccdf: Distribution-Free Single-Cell Differential Expression Analysis

Description Usage Arguments Value Examples

View source: R/test_asymp.R

Asymptotic test

1	test_asymp(Y, X, Z = NULL, space_y = FALSE, number_y = length(unique(Y)))

`Y`	a numeric vector of size `n` containing the preprocessed expression for a given gene from `n` samples (or cells).
`X`	a data frame of numeric or factor vector(s) of size `n` containing the variable(s) to be tested (the condition(s))
`Z`	a data frame of numeric or factor vector(s) of size `n` containing the covariate(s)
`space_y`	a logical flag indicating whether the y thresholds are spaced. When `space_y` is `TRUE`, a regular sequence between the minimum and the maximum of the observations is used. Default is `FALSE`.
`number_y`	an integer value indicating the number of y thresholds (and therefore the number of regressions) to perform the test. Default is `length(Y)`.

A data frame with the following elements:

raw_pval contains the raw p-values for a given gene.
Stat contains the test statistic for a given gene.

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X <- as.factor(rbinom(n=100, size = 1, prob = 0.5))
Y <- ((X==1)*rnorm(n = 50,0,1)) + ((X==0)*rnorm(n = 50,0.5,1))
res_asymp <- test_asymp(Y,data.frame(X=X))