imputeRowMin: Replace missing values with a proportion of the row minimum
In xcms: LC-MS and GC-MS Data Analysis

Description Usage Arguments Author(s) See Also Examples

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, ])).

1	imputeRowMin(x, min_fraction = 1/2)

`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.

Johannes Rainer

imputeLCMD package for more left censored imputation functions.

Other imputation functions: imputeRowMinRand()

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))