matrix_plot(x, ran = range(x, na.rm =TRUE), ylim = rev(c(0.5, nrow(x)+0.5)), xlab ="Column", ylab ="Row", scales = list(alternating = c(1,1), tck = c(1,0), x = list(at = pretty(1:ncol(x)), rot =90), y = list(at = pretty(1:nrow(x)))), at =NULL, colorkey =NULL, col = c("royalblue3","white","maroon3"), col.regions =NULL,...)
Arguments
x: matrix-like object.
ran: range (can be used to enforce (-1,1), for example).
ylim: y-axis limits in reverse order (for the rows to appear 'top down').
xlab: x-axis label.
ylab: y-axis label.
scales: see levelplot(); if NULL, labels and ticks are omitted.
at: see levelplot(). If NULL, a useful default is computed based on the given values in x.
colorkey: see levelplot(). If NULL, a useful default is computed based on at.
col: vector of length two (if all values of x are non-positive or all are non-negative; note that also a vector of length three is allowed in this case) or three (if x contains negative and positive values) providing the color key's default colors.
col.regions: see levelplot(). If NULL, a useful default is computed based on at.
...: additional arguments passed to the underlying levelplot().
Returns
The plot, a Trellis object.
Details
Plot of a matrix.
Author(s)
Marius Hofert
Examples
## Generate a random correlation matrixd <-50L <- diag(1:d)set.seed(271)L[lower.tri(L)]<- runif(choose(d,2))# random Cholesky factorSigma <- L
P <- cor(Sigma)## Defaultmatrix_plot(P)matrix_plot(P, ran = c(-1,1))# within (-1, 1)matrix_plot(abs(P))# if nonnegativeL. <- L
diag(L.)<-NAmatrix_plot(L.)# Cholesky factor without diagonal## Default if nonpositivematrix_plot(-abs(P))## Changing colorsmatrix_plot(P, ran = c(-1,1), col.regions = grey(c(seq(0,1, length.out =100), seq(1,0, length.out =100))))## An example with overlaid lineslibrary(lattice)my_panel <-function(...){ panel.levelplot(...) panel.abline(h = c(10,20), v = c(10,20), lty =2)}matrix_plot(P, panel = my_panel)