Description Usage Arguments See Also Examples
Improved version of the image
function in the graphics
package. In particular,
it displays matrices the way they are shown in the R
console, not transposed/rearranged/... For example, a
covariance matrix has the diagonal in from top-left to
bottom-right as it should be, and not from bottom-left to
top-right.
The function make_legend
also provides a
better color scale legend handling.
Optionally image2
displays a color histogram below
the image, which can be used to refine the display of a
matrix by trimming outliers (as they can often distort
the color representation).
1 2 3 4 5 6 | image2(x = NULL, y = NULL, z = NULL, col = NULL, axes = FALSE, legend = TRUE,
xlab = "", ylab = "", zlim = NULL, density = FALSE, max.height = NULL,
zlim.label = "color scale", ...)
make_legend(data = NULL, col = NULL, side = 1, zlim = NULL, col.ticks = NULL,
cex.axis = 2, max.height = 1, col.label = "")
|
x,y |
locations of grid lines at which the values in
z are measured. These must be finite, non-missing and in
(strictly) ascending order. By default, equally spaced
values from 0 to 1 are used. If x is a list, its
components |
z |
a matrix containing the values to be plotted
(NAs are allowed). Note that |
col |
colors: either a string decribing a pallette
from the |
axes |
a logical value indicating whether both axes should be drawn on the plot. |
xlab |
a label for the x axis |
ylab |
a label for the y axis |
legend |
logical; if |
zlim |
minimum and maximum z values for which colors
should be plotted, defaulting to the range of the finite
values of |
zlim.label |
character string (default: |
density |
logical; if |
max.height |
height of the density plot (typically not modified by user) |
... |
optional arguments passed to
|
data |
data for which the legend should be plotted |
side |
on which side of the plot (1=bottom, 2=left, 3=top, 4=right) |
col.ticks |
color tick marks |
cex.axis |
The magnification to be used for axis
annotation relative to the current setting of
|
col.label |
same as |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## Not run:
# Correlation matrix
data(iris) # make sure its from 'datasets' package, not from 'locfit'
image(cor(as.matrix(iris[, names(iris) != "Species"])))
# Correlation matrix has diagonal from top left to bottom right
par(mar = c(1, 3, 1, 2))
image2(cor(as.matrix(iris[, names(iris) != "Species"])), col = "RdBu", axes = FALSE)
## End(Not run)
# Color histogram
nn <- 10
set.seed(nn)
AA <- matrix(sample(c(rnorm(nn^2, -1, 0.1), rexp(nn^2/2, 0.5))), ncol = nn)
image2(AA, col = "Spectral")
image2(y = 1:15 + 2, x = 1:10, AA, col = "Spectral", axes = TRUE)
image2(y = 1:15 + 2, x = 1:10, AA, col = "Spectral", density = TRUE, axes = TRUE)
image2(AA, col = "Spectral", density = TRUE, zlim = c(min(AA), 3))
|
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