normalizeCount: Normalize count matrix using cyclic loess

In treediff: Testing Differences Between Families of Trees

Normalize count matrix using cyclic loess

Description

This function normalizes the count matrix using loess regression.

Usage

normalizeCount(count_matrice)

Arguments

count_matrice

The count matrix to normalize.

Value

count_matrice

A data.frame of the normalized count matrix.

Examples

nb_row <- 120
chromosome <- rep(1, nb_row)
index1 <- sample(1:100, nb_row, replace = TRUE)
index2 <- sample(1:100, nb_row, replace = TRUE)

m <- data.frame("mat_1" =  sample(1:500, nb_row, replace = TRUE),
                "mat_2" =  sample(1:500, nb_row, replace = TRUE),
                "mat_3" =  sample(1:500, nb_row, replace = TRUE),
                "mat_4" =  sample(1:500, nb_row, replace = TRUE))

mat <- cbind(chromosome, index1, index2, m)

normalizeCount(mat)

treediff documentation built on May 29, 2024, 9:13 a.m.