plot.VCA: Standard 'plot' Method for 'VCA' S3-Objects.

In VCA: Variance Component Analysis

Standard 'plot' Method for 'VCA' S3-Objects.

Description

Create a variability chart from a 'VCA'-object, i.e. from a fitted model.

Usage

## S3 method for class 'VCA'
plot(x, ...)

Arguments

x	(VCA) object
...	additional arguments to be passed to or from methods.

Details

This function extracts the data and the model-formula from a fitted 'VCA'-object and calls function varPlot accepting all its arguments. Please see the documention of function varPlot for a detailed description.

It will not be differentiated between fixed and random effects when calling this function on a fitted linear mixed model.

Value

nothing, instead a plot is generated

Author(s)

Andre Schuetzenmeister [e-mail]

See Also

varPlot, anovaVCA,remlVCA, anovaMM,remlMM

Examples

## Not run: 
data(dataEP05A2_1)
fit <- anovaVCA(y~day/run, dataEP05A2_1)

# standard plot without any extras
plot(fit)

# plot with some additional features
plot(fit, MeanLine=list(var=c("int", "day"), col=c("cyan", "blue"), lwd=c(2,2)))

# more complex model
data(realData)
Data <- realData[realData$PID == 1,]
fit2 <- anovaVCA(y~(calibration+lot)/day/run, Data)
plot(fit2, 
		BG=list(var="calibration",
				col=c("#f7fcfd","#e5f5f9","#ccece6","#99d8c9",
				      "#66c2a4","#41ae76","#238b45","#006d2c","#00441b"),
				col.table=TRUE),
	VLine=list(var=c("calibration", "lot"),
				   col=c("black", "darkgray"), lwd=c(2,1), col.table=TRUE),
		JoinLevels=list(var="lot", col=c("#ffffb2","orangered","#feb24c"),
				        lwd=c(2,2,2)),
		MeanLine=list(var="lot", col="blue", lwd=2))


## End(Not run)

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