Correlation, Variance and Covariance (Matrices), Including Rvecs

Calculate correlations and variances, including when x or y is an rvec.

Usage

var(x, y = NULL, na.rm = FALSE, use)

Arguments

x

A numeric vector, matrix, data frame, or rvec().

y

NULL (default) or a vector, matrix, data frame, or rvec with compatible dimensions to x.

na.rm

Whether NAs removed before calculations.

use

Calculation method. See stats::var().

Value

An rvec, if x or y is an rvec. Otherwise typically a numeric vector or matrix.

Details

To enable different behavior for rvecs and for ordinary vectors, the base R function stats::var() is turned into a generic, with stats::var() as the default.

For details on the calculations, see the documentation for stats::var().

See also

sd()

Examples

x <- rvec(cbind(rnorm(10), rnorm(10, sd = 20)))
x
#> <rvec_dbl<2>[10]>
#>  [1] -0.7423,31.85    0.7797,5.785     -0.7241,34.07    -2.018,25.82    
#>  [5] 0.8553,16.97     0.6489,7.008     -0.7103,-0.09679 0.7958,-1.198   
#>  [9] -1.425,1.269     1.51,25.36      
var(x)
#> <rvec_dbl<2>[1]>
#> [1] 1.362,189.2