Standard 'plot' Method for 'VCA' S3-Objects.
Create a variability chart from a 'VCA'-object, i.e. from a fitted model.
## S3 method for class 'VCA' plot(x, ...)
x |
(VCA) object |
... |
additional arguments to be passed to or from methods. |
It will not be differentiated between fixed and random effects when calling this function on a fitted linear mixed model.
nothing, instead a plot is generated
Andre Schuetzenmeister andre.schuetzenmeister@roche.com
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.