The functions are:
rainbowPalette |
| Contiguous rainbow color palette, |
heatPalette |
| Contiguous heat color palette, |
terrainPalette |
| Contiguous terrain color palette, |
topoPalette |
| Contiguous topo color palette, |
cmPalette |
| Contiguous cm color palette, |
greyPalette |
| R's gamma-corrected gray palette, |
timPalette |
| Tim's Matlab like color palette, |
rampPalette |
| Color ramp palettes, |
seqPalette |
| Sequential color brewer palettes, |
divPalette |
| Diverging color brewer palettes, |
qualiPalette |
| Qualified color brewer palettes, |
focusPalette |
| Red, green blue focus palettes, |
rainbowPalette(n = 64, ...)
heatPalette(n = 64, ...)
terrainPalette(n = 64, ...)
topoPalette(n = 64, ...)
cmPalette(n = 64, ...)
greyPalette(n = 64, ...)
timPalette(n = 64)
rampPalette(n, name = c("blue2red", "green2red", "blue2green", "purple2green", "blue2yellow", "cyan2magenta"))
seqPalette(n, name = c( "Blues", "BuGn", "BuPu", "GnBu", "Greens", "Greys", "Oranges", "OrRd", "PuBu", "PuBuGn", "PuRd", "Purples", "RdPu", "Reds", "YlGn", "YlGnBu", "YlOrBr", "YlOrRd"))
divPalette(n, name = c( "BrBG", "PiYG", "PRGn", "PuOr", "RdBu", "RdGy", "RdYlBu", "RdYlGn", "Spectral"))
qualiPalette(n, name = c( "Accent", "Dark2", "Paired", "Pastel1", "Pastel2", "Set1", "Set2", "Set3"))
focusPalette(n, name = c("redfocus", "greenfocus", "bluefocus"))
monoPalette(n, name = c("redmono", "greenmono", "bluemono")) All Rmetrics' color sets are named as fooPalette where the
prefix foo denotes the name of the underlying color set.
R's Contiguous Color Palettes:
Palettes for n contiguous colors are implemented in the
grDevices package. To be conform with Rmetrics' naming
convention for color palettes we have build a wrapper around the
underlying functions. These are the rainbowPalette,
heatPalette, terrainPalette, topoPalette, and the
cmPalette.
Conceptually, all of these functions actually use (parts of) a line
cut out of the 3-dimensional color space, parametrized by the function
hsv(h,s,v,gamma), where gamma=1 for the fooPalette
function, and hence, equispaced hues in RGB space tend to cluster at
the red, green and blue primaries. Some applications such as contouring
require a palette of colors which do not wrap around to give a final
color close to the starting one. To pass additional arguments to the
underlying functions we refer to consult help(rainbow).
With rainbow, the parameters start and end can be used to specify
particular subranges of hues. Synonyme function calls are
rainbow, heat.colors,terrain.colors,
topo.colors, and the cm.colors.
R's Gamma-Corrected Gray Palette:
The function grayPalette chooses a series of n
gamma-corrected gray levels. The range of the gray levels can be
optionally monitored through the ... arguments, for
details help(gray.colors), which is a synonyme function call
in the grDevices package.
Tim's Matlab like Color Palette:
The function timPalette creates a color set ranging from blue
to red, and passes through the colors cyan, yellow, and orange. It
comes from the Matlab software, originally used in fluid dynamics
simulations. The function here is a copy from R's contributed package
fields doing a spline interpolation on n=64 color points.
Color Ramp Palettes:
The function rampPalette creates several color ramps. The
function is implemented from Tim Keitt's contributed R package
colorRamps.
Supported through the argument name are the following color
ramps: "blue2red", "green2red", "blue2green",
"purple2green", "blue2yellow", "cyan2magenta".
Color Brewer Palettes:
The functions seqPalette, divPalette, and
qualiPalette create color sets according to R's
contributed RColorBrewer package. The first letter in the
function name denotes the type of the color set: "s" for
sequential palettes, 'd" for diverging palettes, and "q" for
qualitative palettes.
Sequential palettes are suited to ordered data that progress
from low to high. Lightness steps dominate the look of these schemes,
with light colors for low data values to dark colors for high data
values. The sequential palettes names are:
Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu,
PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu, YlOrBr, YlOrRd.
Diverging palettes put equal emphasis on mid-range critical values
and extremes at both ends of the data range. The critical class or
break in the middle of the legend is emphasized with light colors
and low and high extremes are emphasized with dark colors that have
contrasting hues.
The diverging palettes names are:
BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral.
Qualitative palettes do not imply magnitude differences between
legend classes, and hues are used to create the primary visual
differences between classes. Qualitative schemes are best suited to
representing nominal or categorical data.
The qualitative palettes names are:
Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3.
In contrast to the original color brewer palettes, the palettes here
are created by spline interpolation from the color variation with
the most different values, i.e for the sequential palettes these
are 9 values, for the diverging palettes these are 11 values, and
for the qualitative palettes these are between 8 and 12 values
dependeing on the color set.
Graph Color Palettes:
The function perfanPalette creates color sets inspired
by R's cotributed package Performance Analytics.
These color palettes have been designed to create readable,
comparable line and bar graphs with specific objectives.
Focused Color Palettes: Color sets designed to provide focus to
the data graphed as the first element. This palette is best used when
there is clearly an important data set for the viewer to focus on,
with the remaining data being secondary, tertiary, etc. Later elements
graphed in diminishing values of gray.
Monchrome Color Palettes: These include color sets for monochrome
color displays.