colMedSds: Standard error of median for each column by bootstrap

In wrMisc: Analyze Experimental High-Throughput (Omics) Data

Standard error of median for each column by bootstrap

Description

Determine standard error (sd) of median by bootstraping for multiple sets of data (rows in input matrix 'dat'). Note: The package boot must be installed from CRAN.

Usage

colMedSds(dat, nBoot = 99, silent = FALSE, callFrom = NULL)

Arguments

dat	(numeric) matix
nBoot	(integer) number if iterations
silent	(logical) suppress messages
callFrom	(character) allow easier tracking of messages produced

Value

This function returns a (numeric) vector with estimated standard errors

See Also

boot

Examples

set.seed(2016); dat1 <- matrix(c(runif(200) +rep(1:10,20)), ncol=10)
colMedSds(dat1) 

wrMisc documentation built on Nov. 17, 2023, 5:09 p.m.