| as.matrix.VCAinference {VCA} | R Documentation |
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
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)