xysplom: scatterplot matrix with potentially different sets of...

In HH: Statistical Analysis and Data Display: Heiberger and Holland

scatterplot matrix with potentially different sets of variables on the rows and columns.

Description

scatterplot matrix with potentially different sets of variables on the rows and columns. The slope or regression coefficient for simple least squares regression can be displayed in the strip label for each panel.

Usage

xysplom(x, ...)

## S3 method for class 'formula'
xysplom(x, data=NULL, na.action = na.pass, ...)

## Default S3 method:
xysplom(x, y=x, group, relation="free",
        x.relation=relation, y.relation=relation,
        xlim.in=NULL, ylim.in=NULL,
        corr=FALSE, beta=FALSE, abline=corr||beta, digits=3,
        x.between=NULL, y.between=NULL,
        between.in=list(x=x.between, y=y.between),
        scales.in=list(
          x=list(relation=x.relation, alternating=FALSE),
          y=list(relation=y.relation, alternating=FALSE)),
        strip.in=strip.xysplom,
        pch=16, cex=.75,
        panel.input=panel.xysplom, ...,
        cartesian=TRUE,
        plot=TRUE)

Arguments

x	In the "formula" method, a formula. In the "default" method, a data.frame. Any variables that are used in a formula with + should be numeric. Factors are not rejected, but their levels will be combined strangely.
...	other arguments to xyplot.

z

data	data.frame
na.action	See na.action. Defaults to na.pass because xyplot does sensible things with missing data.
y	In the "default" method, a data.frame with the same number of rows as the data.frame in x.
group	In the "default" method, a data.frame with the same number of rows as the data.frame in x.
relation, x.relation, y.relation, scales.in	Alternate ways to get to the scales(relation=) arguments to xyplot.
xlim.in, ylim.in	Alternate ways to get to the scales(limits=) arguments to xyplot.
corr, beta	Display the correlation and/or the regression coefficient for lm(y ~ x) for each panel in an additional strip label.
abline	logical. If TRUE, draw the least squares regression line within each panel. By default the abline is FALSE unless at least one of corr or beta is TRUE.
digits	number of significant digits for the correlation coefficient.
x.between, y.between, between.in	Alternate ways to get to the between= argument to xyplot.
strip.in	strip function that knows how to handle the corr and beta displays.
pch, cex	arguments to xyplot
panel.input	panel function used by xyplot within each panel. When abline==FALSE, the default panel function calls panel.xyplot. When abline==TRUE, the default panel function calls panel.xyplot and panel.abline(lm(y~x, na.action=na.exclude)). Note that we use na.action=na.exclude inside lm.
cartesian	When cartesian==TRUE, the cartesian product of the left-hand side number of variables and the right-hand side number of variables defines the number of panels in the display. When cartesian==FALSE, each variable in the left-hand side is paired with the variable in the corresponding position in the right-hand side and only those pairs are plotted. Both sides must have the same number of variables.
plot	Defaults to TRUE. See details.

Details

The argument plot=TRUE is the normal setting and then the function returns a "trellis" object. When the argument plot=FALSE, the function returns the argument list that would otherwise be sent to xyplot. This list is interesting when the function xysplom was designed because the function works by restructuring the input data and running xyplot on the restructured data.

Value

When plot=TRUE (the normal setting), the "trellis" object containing the graph.
When plot=FALSE, the restructured data that must be sent to the xyplot function.

Author(s)

Richard M. Heiberger <[e-mail]>

References

Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Second Edition. Springer-Verlag, New York. https://link.springer.com/book/10.1007/978-1-4939-2122-5

See Also

xyplot in R.

Examples

## xysplom syntax options

tmp <- data.frame(y=rnorm(12), x=rnorm(12), z=rnorm(12), w=rnorm(12),
                  g=factor(rep(1:2,c(6,6))))
tmp2 <- tmp[,1:4]

xysplom(y + w ~ x , data=tmp, corr=TRUE, beta=TRUE, cartesian=FALSE, layout=c(1,2))

xysplom(y + x ~ z | g, data=tmp, layout=c(2,2))
xysplom(y + x ~ z | g, data=tmp, cartesian=FALSE)

xysplom(w + y ~ x + z, data=tmp)
xysplom(w + y ~ x + z | g, data=tmp, layout=c(2,4))
xysplom(w + y ~ x + z | g, data=tmp, cartesian=FALSE)

## Not run: 
## xyplot in R has many similar capabilities with xysplom
if.R(r=
       xyplot(w + z ~ x + y, data=tmp, outer=TRUE)
     ,s=
       {}
    )

## End(Not run)

HH documentation built on May 29, 2024, 6:24 a.m.