VCA: as.matrix.VCAinference – R documentation

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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 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 andre.schuetzenmeister@roche.com

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

Variance Component Analysis

v1.4.3

GPL (>= 3)

Authors

Andre Schuetzenmeister [aut, cre], Florian Dufey [aut]

Initial release

2020-06-17