Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

var2cor

Convert Covariance Matrix to Correlation Matrix — Generic Function


Description

This function converts the covariance matrix from a fitted model into the correlation matrix.

Usage

var2cor(object, ...)

Arguments

object

any fitted model object from which a covariance matrix may be extracted.

...

absorbs any additional argument.

Details

This function is generic (see methods); method functions can be written to handle specific classes of data. Classes which already have methods for this function include: nlreg, summary.nlreg, mpl and summary.mpl.

Value

the correlation matrix of the estimates from a fitted model.

See Also

Examples

data(metsulfuron)
metsulfuron.nl <- 
    nlreg( log(area) ~ log( b1+(b2-b1) / (1+(dose/b4)^b3) ), 
           weights = ~( 1+dose^exp(g) )^2, data = metsulfuron, 
           start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)),
           hoa = TRUE )
var2cor( metsulfuron.nl )
##
metsulfuron.sum <- summary( metsulfuron.nl, corr = FALSE )
var2cor( metsulfuron.sum )

nlreg

Higher Order Inference for Nonlinear Heteroscedastic Models

v1.2-2.2
GPL (>= 2) | file LICENCE
Authors
S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it> and Ruggero Bellio <ruggero.bellio@uniud.it>. R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates.
Initial release
2019-01-30

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.