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% File src/library/stats/man/plot.lm.Rd
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% Part of the R package, https://www.R-project.org
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% Copyright 1995-2019 R Core Team
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% Distributed under GPL 2 or later
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\name{plot.lm}
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\alias{plot.lm}
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% \alias{plot.mlm} %which is .NotYetImplemented()
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\title{Plot Diagnostics for an lm Object}
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\usage{
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\method{plot}{lm}(x, which = c(1,2,3,5), %% was which = 1:4
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caption = list("Residuals vs Fitted", "Normal Q-Q",
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"Scale-Location", "Cook's distance",
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"Residuals vs Leverage",
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expression("Cook's dist vs Leverage " * h[ii] / (1 - h[ii]))),
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panel = if(add.smooth) function(x, y, ...)
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panel.smooth(x, y, iter=iter.smooth, ...) else points,
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sub.caption = NULL, main = "",
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ask = prod(par("mfcol")) < length(which) && dev.interactive(),
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\dots,
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id.n = 3, labels.id = names(residuals(x)), cex.id = 0.75,
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qqline = TRUE, cook.levels = c(0.5, 1.0),
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add.smooth = getOption("add.smooth"),
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iter.smooth = if(isGlm && binomialLike) 0 else 3,
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label.pos = c(4,2),
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cex.caption = 1, cex.oma.main = 1.25)
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}
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\arguments{
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\item{x}{\code{lm} object, typically result of \code{\link{lm}} or
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\code{\link{glm}}.}
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\item{which}{if a subset of the plots is required, specify a subset of
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the numbers \code{1:6}, see \code{caption} below (and the
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\sQuote{Details}) for the different kinds.}
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\item{caption}{captions to appear above the plots;
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\code{\link{character}} vector or \code{\link{list}} of valid
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graphics annotations, see \code{\link{as.graphicsAnnot}}, of length
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6, the j-th entry corresponding to \code{which[j]}. Can be set to
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\code{""} or \code{NA} to suppress all captions.
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}
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\item{panel}{panel function. The useful alternative to
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\code{\link{points}}, \code{\link{panel.smooth}} can be chosen
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by \code{add.smooth = TRUE}.}
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\item{sub.caption}{common title---above the figures if there are more
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than one; used as \code{sub} (s.\code{\link{title}}) otherwise. If
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\code{NULL}, as by default, a possible abbreviated version of
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\code{deparse(x$call)} is used.}
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\item{main}{title to each plot---in addition to \code{caption}.}
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\item{ask}{logical; if \code{TRUE}, the user is \emph{ask}ed before
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each plot, see \code{\link{par}(ask=.)}.}
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\item{\dots}{other parameters to be passed through to plotting
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functions.}
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\item{id.n}{number of points to be labelled in each plot, starting
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with the most extreme.}
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\item{labels.id}{vector of labels, from which the labels for extreme
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points will be chosen. \code{NULL} uses observation numbers.}
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\item{cex.id}{magnification of point labels.}
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\item{qqline}{logical indicating if a \code{\link{qqline}()} should be
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added to the normal Q-Q plot.}
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\item{cook.levels}{levels of Cook's distance at which to draw contours.}
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\item{add.smooth}{logical indicating if a smoother should be added to
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most plots; see also \code{panel} above.}
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\item{iter.smooth}{the number of robustness iterations, the argument
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\code{iter} in \code{\link{panel.smooth}()}; the default uses no such
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iterations for \code{\link{glm}(*, family=binomial)} fits which is
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particularly desirable for the (predominant) case of binary observations.}
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\item{label.pos}{positioning of labels, for the left half and right
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half of the graph respectively, for plots 1-3.}
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\item{cex.caption}{controls the size of \code{caption}.}
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\item{cex.oma.main}{controls the size of the \code{sub.caption} only if
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that is \emph{above} the figures when there is more than one.}
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}
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\description{
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Six plots (selectable by \code{which}) are currently available: a plot
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of residuals against fitted values, a Scale-Location plot of
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\eqn{\sqrt{| residuals |}}{sqrt(| residuals |)}
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against fitted values, a Normal Q-Q plot, a
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plot of Cook's distances versus row labels, a plot of residuals
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against leverages, and a plot of Cook's distances against
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leverage/(1-leverage). By default, the first three and \code{5} are
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provided.
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}
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\details{
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\code{sub.caption}---by default the function call---is shown as
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a subtitle (under the x-axis title) on each plot when plots are on
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separate pages, or as a subtitle in the outer margin (if any) when
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there are multiple plots per page.
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The \sQuote{Scale-Location} plot, also called \sQuote{Spread-Location} or
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\sQuote{S-L} plot, takes the square root of the absolute residuals in
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order to diminish skewness (\eqn{\sqrt{| E |}}{sqrt(|E|)} is much less skewed
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than \eqn{| E |} for Gaussian zero-mean \eqn{E}).
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The \sQuote{S-L}, the Q-Q, and the Residual-Leverage plot, use
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\emph{standardized} residuals which have identical variance (under the
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hypothesis). They are given as
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\eqn{R_i / (s \times \sqrt{1 - h_{ii}})}{R[i] / (s * sqrt(1 - h.ii))}
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where \eqn{h_{ii}}{h.ii} are the diagonal entries of the hat matrix,
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\code{\link{influence}()$hat} (see also \code{\link{hat}}), and
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where the Residual-Leverage plot uses standardized Pearson residuals
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(\code{\link{residuals.glm}(type = "pearson")}) for \eqn{R[i]}.
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The Residual-Leverage plot shows contours of equal Cook's distance,
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for values of \code{cook.levels} (by default 0.5 and 1) and omits
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cases with leverage one with a warning. If the leverages are constant
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(as is typically the case in a balanced \code{\link{aov}} situation)
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the plot uses factor level combinations instead of the leverages for
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the x-axis. (The factor levels are ordered by mean fitted value.)
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In the Cook's distance vs leverage/(1-leverage) plot, contours of
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standardized residuals (\code{\link{rstandard}(.)}) that are equal in
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magnitude are lines through the origin. The contour lines are
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labelled with the magnitudes.
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}
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\references{
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Belsley, D. A., Kuh, E. and Welsch, R. E. (1980).
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\emph{Regression Diagnostics}.
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New York: Wiley.
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Cook, R. D. and Weisberg, S. (1982).
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\emph{Residuals and Influence in Regression}.
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London: Chapman and Hall.
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Firth, D. (1991) Generalized Linear Models.
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In Hinkley, D. V. and Reid, N. and Snell, E. J., eds:
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Pp.\sspace{}55-82 in Statistical Theory and Modelling.
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In Honour of Sir David Cox, FRS.
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London: Chapman and Hall.
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Hinkley, D. V. (1975).
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On power transformations to symmetry.
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\emph{Biometrika}, \bold{62}, 101--111.
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\doi{10.2307/2334491}.
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McCullagh, P. and Nelder, J. A. (1989).
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\emph{Generalized Linear Models}.
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London: Chapman and Hall.
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}
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\author{
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John Maindonald and Martin Maechler.
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}
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\seealso{\code{\link{termplot}}, \code{\link{lm.influence}},
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\code{\link{cooks.distance}}, \code{\link{hatvalues}}.
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}
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\examples{
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require(graphics)
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## Analysis of the life-cycle savings data
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## given in Belsley, Kuh and Welsch.
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lm.SR <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
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plot(lm.SR)
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## 4 plots on 1 page;
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## allow room for printing model formula in outer margin:
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par(mfrow = c(2, 2), oma = c(0, 0, 2, 0))
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plot(lm.SR)
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plot(lm.SR, id.n = NULL) # no id's
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plot(lm.SR, id.n = 5, labels.id = NULL) # 5 id numbers
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## Was default in R <= 2.1.x:
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## Cook's distances instead of Residual-Leverage plot
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plot(lm.SR, which = 1:4)
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## Fit a smooth curve, where applicable:
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plot(lm.SR, panel = panel.smooth)
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## Gives a smoother curve
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plot(lm.SR, panel = function(x, y) panel.smooth(x, y, span = 1))
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par(mfrow = c(2,1)) # same oma as above
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plot(lm.SR, which = 1:2, sub.caption = "Saving Rates, n=50, p=5")
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\dontshow{
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## An example with *long* formula that needs abbreviation:
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for(i in 1:5) assign(paste("long.var.name", i, sep = "."), runif(10))
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plot(lm(long.var.name.1 ~
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long.var.name.2 + long.var.name.3 + long.var.name.4 + long.var.name.5))
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}
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}
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\keyword{hplot}
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\keyword{regression}
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