matrix_to_tibble: Convert between a mutation matrix and tibble

In jhrcook/wext: Weighted Exclusivity Test (WExT)

Description

While tibbles are great for interactive data science, matrices are more practical for the algebra used by WExT. Therefore, these two functions mutationmatrix_to_tibble() and tibble_to_mutationmatrix(), make switching between the two formats much easier.

Usage

matrix_to_tibble(dat, columns_name = "sample_id", rows_name = "gene")

Arguments

dat	a matrix object with column and row names
columns_name	title for the data in the column names (default "sample_id")
rows_name	title for the data in the row names (default "gene")

Examples

set.seed(0)
mat <- matrix(sample(c(0,1), 12, replace = TRUE), nrow = 3)
colnames(mat) <- LETTERS[1:4]
rownames(mat) <- letters[1:3]
matrix_to_tibble(mat)

jhrcook/wext documentation built on May 17, 2021, 1:19 a.m.