car (version 0.8-4)

Var: Variance-Covariance Matrices

Description

Computes variance-covariance matrices or variances for model objects or data. The default methods uses the function var.

Usage

Var(object, ...)

Var.default(object, diagonal=F, ...)

Var.lm(object, diagonal=F)

Var.glm(object, diagonal=F)

Arguments

object
an object for which the covariance matrix is desired.
...
arguments to be passed to var (e.g., na.rm).
diagonal
if TRUE, return only the variances.

Value

  • A variance-covariance matrix or a vector of variances.

See Also

var

Examples

Run this code
data(Davis)
attach(Davis)
Var(cbind(weight, repwt), na.rm=T)
##          weight    repwt
## weight 233.8781 176.1014
## repwt  176.1014 189.7966

Var(lm(weight~repwt))
##              (Intercept)        repwt
##  (Intercept)   9.2228211 -0.134640952
##  repwt        -0.1346410  0.002051736

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