Return the Robust Expression Summary of a matrix

This function calculates the robust summarisation for each feature (protein). Note that the function assumes that the intensities in input e are already log-transformed.

Usage

robustSummary(x, ...)

Arguments

x

A feature by sample matrix containing quantitative data with mandatory colnames and rownames.

...

Additional arguments passed to MASS::rlm().

Value

numeric() vector of length ncol(x) with robust summarised values.

See also

Other Quantitative feature aggregation: aggregate(), colCounts(), medianPolish()

Author

Adriaan Sticker, Sebastian Gibb and Laurent Gatto

Examples

x <- matrix(rnorm(30), nrow = 3)
colnames(x) <- letters[1:10]
rownames(x) <- LETTERS[1:3]
robustSummary(x)
#>           a           b           c           d           e           f 
#>  0.13327322  0.91145468  0.76502760 -0.23239400 -0.41392131  0.60431427 
#>           g           h           i           j 
#> -0.51182415  0.07515504 -0.39439300  0.52412091