matplot {graphics}  R Documentation 
Plot the columns of one matrix against the columns of another.
matplot(x, y, type = "p", lty = 1:5, lwd = 1, pch = NULL, col = 1:6, cex = NULL, xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL, ..., add = FALSE, verbose = getOption("verbose")) matpoints(x, y, type = "p", lty = 1:5, lwd = 1, pch = NULL, col = 1:6, ...) matlines (x, y, type = "l", lty = 1:5, lwd = 1, pch = NULL, col = 1:6, ...)
x,y 
vectors or matrices of data for plotting. The number of
rows should match. If one of them are missing, the other is taken
as y and an x vector of 1:n is used.
Missing values (NA s) are allowed. 
type 
character string (length 1 vector) or vector of 1character
strings indicating the type of plot for each
column of y , see plot for all possible
type s. The first character of type
defines the first plot, the second character the second, etc.
Characters in type are cycled through; e.g., "pl"
alternately plots points and lines. 
lty,lwd 
vector of line types and widths. The first element is for the first column, the second element for the second column, etc., even if lines are not plotted for all columns. Line types will be used cyclically until all plots are drawn. 
pch 
character string or vector of 1characters or integers for
plotting characters, see points .
The first character is the plottingcharacter for the first plot,
the second for the second, etc. The default is the digits (1
through 9, 0) then the letters.

col 
vector of colors. Colors are used cyclically. 
cex 
vector of character expansion sizes, used cyclically.
This works as a multiple of par("cex") . NULL is
equivalent to 1.0 . 
xlab, ylab 
titles for x and y axes, as in plot . 
xlim, ylim 
ranges of x and y axes, as in plot . 
... 
Graphical parameters (see par ) and any further
arguments of plot , typically plot.default , may also be
supplied as arguments to this function. Hence, the highlevel
graphics control arguments described under par and the
arguments to title may be supplied to this function. 
add 
logical. If TRUE , plots are added to current one,
using points and lines . 
verbose 
logical. If TRUE , write one line of what is
done. 
Points involving missing values are not plotted.
The first column of x
is plotted against the first column of
y
, the second column of x
against the second column of
y
, etc. If one matrix has fewer columns, plotting will cycle
back through the columns again. (In particular, either x
or
y
may be a vector, against which all columns of the other
argument will be plotted.)
The first element of col, cex, lty, lwd
is used to plot the axes
as well as the first line.
Because plotting symbols are drawn with lines and because these
functions may be changing the line style, you should probably specify
lty=1
when using plotting symbols.
Function matplot
generates a new plot;
matpoints
and matlines
add to the current one.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
plot
, points
, lines
,
matrix
, par
.
matplot((4:5)^2, main = "Quadratic") # almost identical to plot(*) sines < outer(1:20, 1:4, function(x, y) sin(x / 20 * pi * y)) matplot(sines, pch = 1:4, type = "o", col = rainbow(ncol(sines))) x < 0:50/50 matplot(x, outer(x, 1:8, function(x, k) sin(k*pi * x)), ylim = c(2,2), type = "plobcsSh", main= "matplot(,type = \"plobcsSh\" )") ## pch & type = vector of 1chars : matplot(x, outer(x, 1:4, function(x, k) sin(k*pi * x)), pch = letters[1:4], type = c("b","p","o")) table(iris$Species) # is data.frame with 'Species' factor iS < iris$Species == "setosa" iV < iris$Species == "versicolor" op < par(bg = "bisque") matplot(c(1, 8), c(0, 4.5), type= "n", xlab = "Length", ylab = "Width", main = "Petal and Sepal Dimensions in Iris Blossoms") matpoints(iris[iS,c(1,3)], iris[iS,c(2,4)], pch = "sS", col = c(2,4)) matpoints(iris[iV,c(1,3)], iris[iV,c(2,4)], pch = "vV", col = c(2,4)) legend(1, 4, c(" Setosa Petals", " Setosa Sepals", "Versicolor Petals", "Versicolor Sepals"), pch = "sSvV", col = rep(c(2,4), 2)) nam.var < colnames(iris)[5] nam.spec < as.character(iris[1+50*0:2, "Species"]) iris.S < array(NA, dim = c(50,4,3), dimnames = list(NULL, nam.var, nam.spec)) for(i in 1:3) iris.S[,,i] < data.matrix(iris[1:50+50*(i1), 5]) matplot(iris.S[,"Petal.Length",], iris.S[,"Petal.Width",], pch="SCV", col = rainbow(3, start = .8, end = .1), sub = paste(c("S", "C", "V"), dimnames(iris.S)[[3]], sep = "=", collapse= ", "), main = "Fisher's Iris Data") par(op)