HH (version 3.1-47)

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

data

data.frame

na.action

See

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.

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.

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.

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/us/book/9781493921218

See Also

Examples

# NOT RUN {
## 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=
       {}
    )
# }
# NOT RUN {
# }