insertMVs {imputeLCMD}R Documentation

Generates missing values in data.

Description

this function generates missing data in a complete data matrix

Usage

insertMVs(original, mean.THR, sd.THR, MNAR.rate)

Arguments

original

complete data matrix containing all measurements

mean.THR, sd.THR

- parameters of the threshold distribution which controls the MVs rate (mean.THR should be initially set such that the result of the initial thresholding, in terms of no. of NAs, equals the desired total missing data rate) - example: if one wants to generate 30 mean.THR can be set as follows: mean.THR = quantile(pepExprsData, probs = 0.3) - sd.THR is usually set to a small value (e.g. 0.1)

MNAR.rate

percentage of MVs which are missing not at random

Value

A list that contains the original complete data matrix, the data matrix with missing data and the percentage of missing data


[Package imputeLCMD version 2.1 Index]