plotF {amer} | R Documentation |
plot estimated function values + pointwise confidence intervals for an amer-Fit
plotF(object, which, n=100, interval=RW, addConst=TRUE, trans=I, level=0.9, sims=1000, auto.layout=TRUE, rug=TRUE, legendPos=topright, ...)
object |
a fitted additive (mixed) model of class amer-class |
which |
(optional) an integer vector or a character vector of names giving the smooths for which plots are desired. Defaults to all. |
n |
fitted values for a regular grid with n values in the range of the respective covariates are calculated |
interval |
what mehod should be used to compute pointwise confidence/HPD intervals. See getF . |
addConst |
boolean should the global intercept and intercepts for the levels of the by-variable be included in the fitted values (and their CIs) |
trans |
a function that should be applied to the fitted values and ci's before plotting (e.g. the inverse link function to get plots on the scale of the reponse) |
level |
level for the confidence/HPD intervals |
sims |
how many iterates should be generated for the MCMC-based HPD-intervals |
auto.layout |
automagically set plot layout via par()$mfrow |
rug |
add rug -plots of the observed covariate locations |
legendPos |
a (vector of) keyword(s) where to put labels of by-variables (see legend ). "none" if you don't want a legend. |
... |
arguments passed on to the low-level plot functions (plot , matlines ), legend , and title |
invisibly returns the result of the getF
-call used to do the plots
Fabian Scheipl
getF
; plotF
, tests/optionsTests.r
and the vignette for examples