customRowMeans: Calculate statistics for each row or column of a matrix

In psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation

Description

Calculate statistics for each row or column of a matrix

Usage

customRowMeans(mat, na.rm = FALSE, fast = FALSE)

customRowMedians(mat, na.rm = FALSE, fast = FALSE)

customRowVars(mat, na.rm = FALSE, fast = FALSE)

customRowMins(mat, na.rm = FALSE, fast = FALSE)

customRowMaxs(mat, na.rm = FALSE, fast = FALSE)

customRowRanges(mat, na.rm = FALSE, fast = FALSE)

customColMedians(mat, na.rm = FALSE, fast = FALSE)

Arguments

mat	Matrix
na.rm	Boolean: remove missing values (NA)?
fast	Boolean: use Rfast functions? They may return different results from R built-in functions

Value

Vector of selected statistic

Examples

df <- rbind("Gene 1"=c(3, 5, 7), "Gene 2"=c(8, 2, 4), "Gene 3"=c(9:11)) 
psichomics:::customRowMeans(df)
psichomics:::customRowVars(df, fast=TRUE)

psichomics documentation built on Nov. 8, 2020, 5:44 p.m.