\HeaderA{termplot}{Plot regression terms}{termplot}
\keyword{hplot}{termplot}
\keyword{regression}{termplot}
\begin{Description}\relax
Plots regression terms against their predictors, optionally with
standard errors and partial residuals added.
\end{Description}
\begin{Usage}
\begin{verbatim}
termplot(model, data=NULL, envir=environment(formula(model)),
         partial.resid=FALSE, rug=FALSE,
         terms=NULL, se=FALSE, xlabs=NULL, ylabs=NULL, main = NULL,
         col.term = 2, lwd.term = 1.5,
         col.se = "orange", lty.se = 2, lwd.se = 1,
         col.res = "gray", cex = 1, pch = par("pch"),
         col.smth = "darkred", lty.smth = 2, span.smth = 2/3,
         ask = interactive() && nb.fig < n.tms &&
               .Device != "postscript",
         use.factor.levels = TRUE, smooth = NULL, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{model}] fitted model object
\item[\code{data}] data frame in which variables in \code{model} can be
found
\item[\code{envir}] environment in which variables in \code{model} can be found
\item[\code{partial.resid}] logical; should partial residuals be plotted?
\item[\code{rug}] add \LinkA{rug}{rug}plots (jittered 1-d histograms) to the axes?
\item[\code{terms}] which terms to plot (default \code{NULL} means all terms)
\item[\code{se}] plot pointwise standard errors?
\item[\code{xlabs}] vector of labels for the x axes
\item[\code{ylabs}] vector of labels for the y axes
\item[\code{main}] logical, or vector of main titles;  if \code{TRUE}, the
model's call is taken as main title, \code{NULL} or \code{FALSE} mean
no titles.
\item[\code{col.term, lwd.term}] color and line width for the \dQuote{term curve},
see \code{\LinkA{lines}{lines}}.
\item[\code{col.se, lty.se, lwd.se}] color, line type and line width for the
\dQuote{twice-standard-error curve} when \code{se = TRUE}.
\item[\code{col.res, cex, pch}] color, plotting character expansion and type
for partial residuals, when \code{partial.resid = TRUE}, see
\code{\LinkA{points}{points}}.
\item[\code{ask}] logical; if \code{TRUE}, the user is \emph{ask}ed before
each plot, see \code{\LinkA{par}{par}(ask=.)}.
\item[\code{use.factor.levels}] Should x-axis ticks use factor levels or
numbers for factor terms?
\item[\code{smooth}] \code{NULL} or a function with the same arguments as
\code{\LinkA{panel.smooth}{panel.smooth}} to draw a smooth through the partial
residuals for non-factor terms
\item[\code{lty.smth,col.smth, span.smth}] Passed to \code{smooth}
\item[\code{...}] other graphical parameters
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
The model object must have a \code{predict} method that accepts
\code{type=terms}, eg \code{\LinkA{glm}{glm}} in the \pkg{base} package,
\code{\LinkA{coxph}{coxph}} and \code{\LinkA{survreg}{survreg}} in
the \pkg{survival} package.

For the \code{partial.resid=TRUE} option it must have a
\code{\LinkA{residuals}{residuals}} method that accepts \code{type="partial"},
which \code{\LinkA{lm}{lm}} and \code{\LinkA{glm}{glm}} do.

The \code{data} argument should rarely be needed, but in some cases
\code{termplot} may be unable to reconstruct the original data
frame. Using \code{na.action=na.exclude} makes these problems less likely.

Nothing sensible happens for interaction terms.
\end{Details}
\begin{SeeAlso}\relax
For (generalized) linear models, \code{\LinkA{plot.lm}{plot.lm}} and
\code{\LinkA{predict.glm}{predict.glm}}.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
had.splines <- "package:splines" %in% search()
if(!had.splines) rs <- require(splines)
x <- 1:100
z <- factor(rep(LETTERS[1:4],25))
y <- rnorm(100,sin(x/10)+as.numeric(z))
model <- glm(y ~ ns(x,6) + z)

par(mfrow=c(2,2)) ## 2 x 2 plots for same model :
termplot(model, main = paste("termplot( ", deparse(model$call)," ...)"))
termplot(model, rug=TRUE)
termplot(model, partial=TRUE, se = TRUE, main = TRUE)
termplot(model, partial=TRUE, smooth=panel.smooth,span.smth=1/4)
if(!had.splines && rs) detach("package:splines")
\end{ExampleCode}
\end{Examples}

