weights_ccdf: Computation of weights for CCDF, used in permut function when...
In ccdf: Distribution-Free Single-Cell Differential Expression Analysis

Computation of weights for CCDF, used in permut function when dist_permuations is specified.

1	weights_ccdf(Y, X, Z = NULL)

`Y`	a numeric vector of size `n` containing the preprocessed expressions from `n` samples (or cells).
`X`	a numeric or factor vector(s) of size `n` containing the variable to be tested (the condition to be tested). Multiple variables are not allowed
`Z`	a numeric vector of size `n` containing the covariate. Multiple variables are not allowed

w a vector of weights

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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 <- weights_ccdf(Y,X)

ccdf documentation built on Sept. 24, 2021, 9:07 a.m.

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