Plot Columns of Matrices
Plot the columns of one matrix against the columns of another.
matplot(x, y, type = "p", lty = 1:5, lwd = 1, lend = par("lend"), pch = NULL, col = 1:6, cex = NULL, bg = NA, 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, …)
- vectors or matrices of data for plotting. The number of
rows should match. If one of them are missing, the other is taken
1:nis used. Missing values (
NAs) are allowed.
- character string (length 1 vector) or vector of 1-character
strings indicating the type of plot for each
plotfor all possible
types. The first character of
typedefines the first plot, the second character the second, etc. Characters in
typeare cycled through; e.g.,
"pl"alternately plots points and lines.
- vector of line types, widths, and end styles. 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.
- character string or vector of 1-characters or integers for
plotting characters, see
points. The first character is the plotting-character for the first plot, the second for the second, etc. The default is the digits (1 through 9, 0) then the lowercase and uppercase letters.
- vector of colors. Colors are used cyclically.
- vector of character expansion sizes, used cyclically.
This works as a multiple of
NULLis equivalent to
- vector of background (fill) colors for the open plot
symbols given by
pch = 21:25as in
points. The default
NAcorresponds to the one of the underlying function
- xlab, ylab
- titles for x and y axes, as in
- xlim, ylim
- ranges of x and y axes, as in
- Graphical parameters (see
par) and any further arguments of
plot.default, may also be supplied as arguments to this function. Hence, the high-level graphics control arguments described under
parand the arguments to
titlemay be supplied to this function.
- logical. If
TRUE, plots are added to current one, using
- 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
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.
matplot generates a new plot;
matlines add to the current one.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
require(grDevices) 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))) matplot(sines, type = "b", pch = 21:23, col = 2:5, bg = 2:5, main = "matplot(...., pch = 21:23, bg = 2:5)") 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 1-chars : matplot(x, outer(x, 1:4, function(x, k) sin(k*pi * x)), pch = letters[1:4], type = c("b","p","o")) lends <- c("round","butt","square") matplot(matrix(1:12, 4), type="c", lty=1, lwd=10, lend=lends) text(cbind(2.5, 2*c(1,3,5)-.4), lends, col= 1:3, cex = 1.5) 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*(i-1), -5]) matplot(iris.S[, "Petal.Length",], iris.S[, "Petal.Width",], pch = "SCV", col = rainbow(3, start = 0.8, end = 0.1), sub = paste(c("S", "C", "V"), dimnames(iris.S)[], sep = "=", collapse= ", "), main = "Fisher's Iris Data") par(op)