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Form Column Standard Deviation and Variances

Source: R/util.R
colVars.Rd

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?

See also

colMeans

Author

Phil Chalmers rphilip.chalmers@gmail.com

Examples


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

colVars(results)
#>     stat1     stat2     stat3     stat4 
#> 0.7607727 0.4891335 0.7170886 1.3992792 
colSDs(results)
#>     stat1     stat2     stat3     stat4 
#> 0.8722229 0.6993808 0.8468108 1.1829113 

results[1,1] <- NA
colSDs(results)
#>     stat1     stat2     stat3     stat4 
#>        NA 0.6993808 0.8468108 1.1829113 
colSDs(results, na.rm=TRUE)
#>     stat1     stat2     stat3     stat4 
#> 0.8855740 0.6993808 0.8468108 1.1829113 
colSDs(results, na.rm=TRUE, unname=TRUE)
#> [1] 0.8855740 0.6993808 0.8468108 1.1829113