make_design_matrix: make_design_matrix

In alextkalinka/delboy: Differential-representation analysis by Elastic-net Logistic regression with BinOmial-thinning validitY tests

Description

Makes a design matrix for use by seqgendiff.

Usage

make_design_matrix(group_1, group_2, treat_samps = NULL, random_treat = FALSE)

Arguments

group_1	A character vector naming the columns that belong to group 1.
group_2	A character vector naming the columns that belong to group 2.
treat_samps	A character vector indicating which samples are treatment samples. NULL (default) indicates they should be randomly samples (length(group_2)).
random_treat	Logical indicating whether the number of treatment samples should be a random number between 2 and length(group_1) + length(group_2) - 2, or not. Defaults to FALSE - there will be length(group_2) treatment samples.

Value

A design matrix.

alextkalinka/delboy documentation built on Feb. 2, 2022, 4:19 p.m.