Median-balanced quantile normalization

Description Usage Arguments Details Value Author(s) References Examples

Extract the k largest or smallest values and their indices for each column of a matrix.

1	getKminmax(x, k, flag = "max")

`x`	a data matrix or data frame.
`k`	an integer specifying the number of extreme values. Must be `<= nrows(x)`.
`flag`	use "min" or "max" (default) to select smallest or largest elements.

Order the values of each column of x and determine the k smallest (flag = "min") or largest (flag = "max") values and their indices. NA's in the data are ignored.

List with elements:

`ik`	indices of ordered extreme values
`minmax`	ordered extreme values.

Ariane Schad

Brombacher, E., Schad, A., Kreutz, C. (2020). Tail-Robust Quantile Normalization. BioRxiv.

# Create a data matrix
x <- matrix(c(5,2,3,NA,4,1,4,2,3,4,6,NA,1,3,1),ncol=3)
# Get indices of the 5 largest values in each column
getKminmax(x, k = 5, "max")