imputeRowMin: Replace missing values with a proportion of the row minimum

In anupbharade09/xcms_test: LC/MS and GC/MS Data Analysis

Description

imputeRowMin imputes missing values in x by replacing NAs in each row with a proportion of the minimal value for that row (i.e. min_fraction * min(x[i, ])).

Usage

imputeRowMin(x, min_fraction = 1/2)

Arguments

x	matrix with abundances, rows being features/metabolites and columns samples.
min_fraction	numeric(1) with the fraction of the row minimum that should be used to replace NA values in that row.

Author(s)

Johannes Rainer

See Also

imputeLCMD package for more left censored imputation functions.

Other imputation functions: imputeRowMinRand

Examples

library(faahKO)
data("faahko")

xset <- group(faahko)
mat <- groupval(xset, value = "into")

mat_imp <- imputeRowMin(mat)

head(mat)
head(mat_imp)

## Replace with 1/8 of the row mimimum
head(imputeRowMin(mat, min_fraction = 1/8))

anupbharade09/xcms_test documentation built on May 14, 2019, 4:07 a.m.