matplot {base}

R Documentation

Plot Columns of Matrices

Description

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.)

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.

Usage

matplot(x, y, type = "p", lty = 1:5, pch = NULL, col = 1:6,
        xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL,
        ..., add = FALSE)
matpoints(x, y, lty = 1:5, pch = NULL, col = 1:6)
matlines(x, y, lty = 1:5, pch = NULL, col = 1:6)

Arguments

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 (NAs) are allowed.
type	character string, telling which type of plot ("p", points; "l", lines; "b", both; "o", overplotted both; "n", none; or "h", high-density) should be done for each column of y. 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	vector of line types. 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 (length 1 vector) or vector of 1-character strings for plotting-characters. 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 letters.
col	vector of colors. Colors are used cyclically.
xlim, ylim
xlab, ylab
...	Graphical parameters (see par) may also be supplied as arguments to this function. In addition, the high-level 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.

Side Effects

Function matplot generates a new plot; matpoints and matlines add to the current one.

See Also

plot, points, lines, matrix, par.

Examples

matplot((-4:5)^2, main = "Quadratic")
sines <- outer(1:20, 1:4, function(x, y) sin(x / 20 * pi * y))
matplot(sines, type = "o", col = rainbow(ncol(sines)))

x <- 0:100/100
matplot(x, outer(x, 1:8, function(x, k) sin(k * pi * x)),
        type = "l", col = 1:8, ylim = c(-2,2))

data(iris)                  # is data.frame with  `Species' factor
table(iris$Species)
iS <- iris$Species == "setosa"
iV <- iris$Species == "versicolor"
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])
# The example plot is produced by:
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")

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