mmps {alr3} | R Documentation |
For a regression object, plots the response on the vertical axis versus
a linear combination u of terms in the mean function on the horizontal
axis. Added to the plot are a loess
smooth for the graph, along with
a loess smooth from the plot of the fitted values on u.
mmps(object,exclude=NULL,layout=NULL,ask,...) mmp.lm(object, u = predict(object), mean = TRUE, sd = FALSE, label = deparse(substitute(u)), degree = 1, span = 2/3, colors = c("blue", "red"), ...)
object |
A regression object, of type either lm or glm,
for which there is a predict
method defined. |
exclude |
A vector of indices of variables for which a plot is not
required. For example, c(2,4) would exclude the second and fourth
terms in the model, excluding the intercept. |
layout |
A reasonable layout for the plots in the window is
determined by the program. If you don't like the default you can set your
own layout: c(2,3) means two rows and three columns. |
ask |
If TRUE, ask before clearing the graph window to draw more plots. |
u |
The quantity to be plotted on the horizontal axis. The
default is the predicted values predict(object) . Can be any other
vector of length equal to the number of observations in the object. |
mean |
If TRUE, compare mean smooths |
sd |
If TRUE, compare sd smooths |
label |
label for horizontal axis |
degree |
Degree of the local polynomial, passed to loess . The
usual default for loess is 2, but the default here is one. |
span |
Span, the smoothing parameter for loess . |
colors |
colors for data and model smooth, respectively |
... |
additional arguments passed to loess and plot |
mmp
draws one marginal model plot. mmps
draws all marginal model plots,
versus each of the terms in the model and versus fitted values. mmps
should not be used if some of the terms in the model are factors or
interactions.
Used for its side effect of producing plots.
Sanford Weisberg, sandy@stat.umn.edu
S. Weisberg (2005), Applied Linear Regression, third edition, Wiley, Chapter 8
data(ufcwc) c1 <- lm(Height~Dbh,ufcwc) mmp(c1,ufcwc$Dbh,label="Diameter, Dbh",color=c("black","black")) mmps(c1)