coplot {base} | R Documentation |
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"), xlab = paste("Given :", a.name), ylab = paste("Given :", b.name), number = 6, overlap = 0.5, ...) 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 .
|
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 |
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. |
xlab |
character; label to use for the 1st conditioning variable. |
ylab |
character; label to use for the 2nd conditioning variable. |
number |
integer; the number of conditioning intervals, possibly of length 2 for x and y direction. |
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. |
... |
additional arguments to the panel function. |
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.
Cleveland, W. S. (1993) Visualizing Data. New Jersey: Summit Press.
## Tonga Trench Earthquakes data(quakes) coplot(long ~ lat | depth, data = quakes) given.depth <- co.intervals(quakes$depth, number=4, overlap=.1) coplot(long ~ lat | depth, data = quakes, given.values=given.depth) ## Conditioning on 2 variables: ll.dm <- long ~ lat | depth * mag coplot(ll.dm, data = quakes) coplot(ll.dm, data = quakes, number=c(4,7), show.given = c(T,F)) coplot(ll.dm, data = quakes, number=c(3,7), overlap=c(-.5,.1)) # negative overlap DROPS values data(warpbreaks) ## given two factors coplot(breaks ~ 1:54 | wool * tension, data = warpbreaks, col = 'red') ## Example with empty panels: data(state) 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, ...)) detach() # data.frame(state.x77)