ccdf (version 1.1.4)

test_asymp: Asymptotic test

Description

Asymptotic test

Usage

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

Arguments

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).

Value

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.

Examples

# NOT RUN {
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))
# }