coplot {graphics}R Documentation

Conditioning Plots


This function produces two variants of the conditioning plots discussed in the reference below.


coplot(formula, data, given.values, panel = points, rows, columns,
       show.given = TRUE, col = par("fg"), pch = par("pch"), = c(num = gray(0.8), fac = gray(0.95)),
       xlab = c(, paste("Given :",,
       ylab = c(, paste("Given :",,
       subscripts = FALSE,
       axlabels = function(f) abbreviate(levels(f)),
       number = 6, overlap = 0.5, xlim, ylim, ...) 
co.intervals(x, number = 6, overlap = 0.5)


formula a formula describing the form of conditioning plot. A formula of the form y ~ x | a indicates that plots of y versus x should be produced conditional on the variable a. A formula of the form y ~ x| a * b indicates that plots of y versus x should be produced conditional on the two variables a and b.
All three or four variables may be either numeric or factors. When x or y are factors, the result is almost as if as.numeric() was applied, whereas for factor a or b, the conditioning (and its graphics if show.given is true) are adapted.
data a data frame containing values for any variables in the formula. By default the environment where coplot was called from is used.
given.values a value or list of two values which determine how the conditioning on a and b is to take place.
When there is no b (i.e., conditioning only on a), usually this is a matrix with two columns each row of which gives an interval, to be conditioned on, but is can also be a single vector of numbers or a set of factor levels (if the variable being conditioned on is a factor). In this case (no b), the result of co.intervals can be used directly as given.values argument.
panel a function(x, y, col, pch, ...) which gives the action to be carried out in each panel of the display. The default is points.
rows the panels of the plot are laid out in a rows by columns array. rows gives the number of rows in the array.
columns the number of columns in the panel layout array.
show.given logical (possibly of length 2 for 2 conditioning variables): should conditioning plots be shown for the corresponding conditioning variables (default TRUE)
col a vector of colors to be used to plot the points. If too short, the values are recycled.
pch a vector of plotting symbols or characters. If too short, the values are recycled. a named vector with components "num" and "fac" giving the background colors for the (shingle) bars, for numeric and factor conditioning variables respectively.
xlab character; labels to use for the x axis and the first conditioning variable. If only one label is given, it is used for the x axis and the default label is used for the conditioning variable.
ylab character; labels to use for the y axis and any second conditioning variable.
subscripts logical: if true the panel function is given an additional (third) argument subscripts giving the subscripts of the data passed to that panel.
axlabels function for creating axis (tick) labels when x or y are factors.
number integer; the number of conditioning intervals, for a and b, possibly of length 2. It is only used if the corresponding conditioning variable is not a factor.
overlap numeric < 1; the fraction of overlap of the conditioning variables, possibly of length 2 for x and y direction. When overlap < 0, there will be gaps between the data slices.
xlim the range for the x axis.
ylim the range for the y axis.
... additional arguments to the panel function.
x a numeric vector.


In the case of a single conditioning variable a, when both rows and columns are unspecified, a “close to square” layout is chosen with columns >= rows.

In the case of multiple rows, the order of the panel plots is from the bottom and from the left (corresponding to increasing a, typically).

A panel function should not attempt to start a new plot, but just plot within a given coordinate system: thus plot and boxplot are not panel functions.

As from R 2.0.0 the rendering of arguments xlab and ylab is not controlled by par arguments cex.lab and font.lab even though they are plotted by mtext rather than title.


co.intervals(., number, .) returns a (number x 2) matrix, say ci, where ci[k,] is the range of x values for the k-th interval.


Chambers, J. M. (1992) Data for models. Chapter 3 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

Cleveland, W. S. (1993) Visualizing Data. New Jersey: Summit Press.

See Also

pairs, panel.smooth, points.


## Tonga Trench Earthquakes
coplot(lat ~ long | depth, data = quakes)
given.depth <- co.intervals(quakes$depth, number=4, overlap=.1)
coplot(lat ~ long | depth, data = quakes, given.v=given.depth, rows=1)

## Conditioning on 2 variables: <- lat ~ long | depth * mag
coplot(, data = quakes)
coplot(, data = quakes, number=c(4,7), show.given=c(TRUE,FALSE))
coplot(, data = quakes, number=c(3,7),
       overlap=c(-.5,.1)) # negative overlap DROPS values

## given two factors
Index <- seq(length=nrow(warpbreaks)) # to get nicer default labels
coplot(breaks ~ Index | wool * tension, data = warpbreaks, show.given = 0:1)
coplot(breaks ~ Index | wool * tension, data = warpbreaks,
       col = "red", bg = "pink", pch = 21, = c(fac = "light blue"))

## Example with empty panels:
attach(data.frame(state.x77))#> don't need 'data' arg. below
coplot(Life.Exp ~ Income | Illiteracy * state.region, number = 3,
       panel = function(x, y, ...) panel.smooth(x, y, span = .8, ...))
## y ~ factor -- not really sensical, but 'show off':
coplot(Life.Exp ~ state.region | Income * state.division,
       panel = panel.smooth)
detach() # data.frame(state.x77)

[Package graphics version 2.2.1 Index]