colVars: Form Column Standard Deviation and Variances

In philchalmers/SimDesign: Structure for Organizing Monte Carlo Simulation Designs

Form Column Standard Deviation and Variances

Description

Form column standard deviation and variances for numeric arrays (or data frames).

Usage

colVars(x, na.rm = FALSE, unname = FALSE)

colSDs(x, na.rm = FALSE, unname = FALSE)

Arguments

x	an array of two dimensions containing numeric, complex, integer or logical values, or a numeric data frame
na.rm	logical; remove missing values in each respective column?
unname	logical; apply unname to the results to remove any variable names?

Author(s)

Phil Chalmers [e-mail]

See Also

colMeans

Examples

results <- matrix(rnorm(100), ncol=4)
colnames(results) <- paste0('stat', 1:4)

colVars(results)
colSDs(results)

results[1,1] <- NA
colSDs(results)
colSDs(results, na.rm=TRUE)
colSDs(results, na.rm=TRUE, unname=TRUE)

philchalmers/SimDesign documentation built on April 29, 2024, 11:43 p.m.