VCA (version 1.5.1)

as.matrix.VCAinference: 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 VCAinference
as.matrix(x, what = c("VC", "SD", "CV"), digits = 6, ...)

Value

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

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.

Author

Andre Schuetzenmeister

See Also

print.VCAinference, as.matrix.VCA

Examples

if (FALSE) {
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)
}