dimarMatrixPreparation: dimarMatrixPreparation
In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R

dimarMatrixPreparation

R Documentation

dimarMatrixPreparation

Description

Prepare/Filter matrix

Usage

dimarMatrixPreparation(mtx, nacut = 2, logflag = "auto")

Arguments

`mtx`	Quantitative matrix
`nacut`	minimum number of measured data points
`logflag`	should logarithm be applied (true,false,log2,log10)

Examples

mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
mtx <- dimarMatrixPreparation(mtx,nacut=0,logflag=FALSE)

mtx <- matrix(10^(rnorm(1000,7)),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
mtx <- dimarMatrixPreparation(mtx,nacut=0.8,logflag=TRUE)

kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.