Coefficient plots for Multivariate Linear Models
Displays confidence ellipses
for all parameters in an multivariate linear model,
for a given pair of variables. As such, it is a generalization
of confidenceEllipse.
coefplot(object, ...) ## S3 method for class 'mlm' coefplot(object, variables = 1:2, parm = NULL, df = NULL, level = 0.95, intercept = FALSE, Scheffe = FALSE, bars = TRUE, fill = FALSE, fill.alpha = 0.2, labels = !add, label.pos = NULL, xlab, ylab, xlim = NULL, ylim = NULL, axes = TRUE, main = "", add = FALSE, lwd = 1, lty = 1, pch = 19, col = palette(), cex = 2, cex.label = 1.5, lty.zero = 3, col.zero = 1, pch.zero = '+', verbose = FALSE, ...)
object |
A multivariate linear model, such as fit by |
... |
Other parameters passed to methods |
variables |
Response variables to plot, given as their indices or names |
parm |
Parameters to plot |
df |
Degrees of freedom for hypothesis tests |
level |
Confidence level |
intercept |
logical. Include the intercept? |
Scheffe |
If |
bars |
Draw univariate confidence intervals for each of the variables? |
fill |
a logical value or vector. |
fill.alpha |
|
labels |
Labels for the confidence ellipses |
label.pos |
Positions of the labels for each ellipse. See |
xlab, ylab |
x, y axis labels |
xlim, ylim |
Axis limits |
axes |
Draw axes? |
main |
Plot title |
add |
logical. Add to an existing plot? |
lwd |
Line widths |
lty |
Line types |
pch |
Point symbols for the parameter estimates |
col |
Colors for the confidence ellipses, points, lines |
cex |
Character size for points showing parameter estimates |
cex.label |
Character size for ellipse labels |
lty.zero, col.zero, pch.zero |
Line type, color and point symbol for horizontal and vertical lines at 0, 0. |
verbose |
logical. Print parameter estimates and variance-covariance for each parameter? |
Returns invisibly a list of the coordinates of the ellipses drawn
Michael Friendly
confidenceEllipse, ~~~
mod <- lm(cbind(SAT,PPVT,Raven)~n+s+ns, data=Rohwer) coefplot(mod, lwd=2, main="Bivariate coefficient plot for SAT and PPVT", fill=TRUE) coefplot(mod, add=TRUE, Scheffe=TRUE, fill=TRUE) coefplot(mod, var=c(1,3)) mod1 <- lm(cbind(SAT,PPVT,Raven)~n+s+ns+na+ss, data=Rohwer) coefplot(mod1, lwd=2, fill=2 !=(1:5), main="Bivariate 68% coefficient plot for SAT and PPVT", level=0.68)
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