Correlation, Variance and Covariance (Matrices)

var {math}

R Documentation

Correlation, Variance and Covariance (Matrices)

Description

var, cov and cor compute the variance of x and the covariance or
correlation of x and y if these are vectors. If x and y are
matrices then the covariances (or correlations) between the columns
of x and the columns of y are computed.

Usage

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

Arguments

a numeric vector, matrix or data frame.

NULL (default) or a vector, matrix or data frame with compatible dimensions to x. The default is equivalent to y = x (but more efficient).

na.rm

logical. Should missing values be removed?. [as boolean]

use

an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs". [as varUseMethods]

Authors

SMRUCC genomics Institute

Value

this function returns data object of type any kind.

clr value class

any kind

[Package math version 2.33.856.6961 Index]