as.matrix.VCAinference: Standard 'as.matrix' Method for 'VCAinference' S3-Objects

In VCA: Variance Component Analysis

Standard 'as.matrix' Method for 'VCAinference' S3-Objects

Description

This function makes use of the hidden feature of function print.VCAinference which invisibly returns character matrices of estimated variance components expressed as "VC" (variance component), "SD" (standard deviation) or "CV" (coefficient of variation). If argument "what" is not specified, a named list will be returned with all three matrices.

Usage

## S3 method for class 'VCAinference'
as.matrix(x, what = c("VC", "SD", "CV"), digits = 6, ...)

Arguments

x	(VCAinference) object
what	(character) one or multiple choices from "VC" (variance component), "SD" (standard deviation) or "CV" (coefficient of variation)
digits	(integer) number of decimal digits to be used
...	additional arguments to be passed to or from methods.

Value

(matrix) with point estimates, one- and two-sided confidence intervals and variances of the estimated variance components

Author(s)

Andre Schuetzenmeister [e-mail]

See Also

print.VCAinference, as.matrix.VCA

Examples

## Not run: 
data(dataEP05A2_1)
fit <- anovaVCA(y~day/run, dataEP05A2_1)
inf <- VCAinference(fit, VarVC=TRUE)
as.matrix(inf, what="VC", digits=6)
as.matrix(inf, what="SD", digits=6)
as.matrix(inf, what="CV", digits=2)

# request list of matrices
as.matrix(inf)

## End(Not run)

VCA documentation built on May 29, 2024, 1:48 a.m.