semantic colors {PreProcess} | R Documentation |
Pre-defined colors for microarray plots
Description
A collection of predefined color names to help ensure consistency in
multiple graphical displays of microarray data.
COLOR.BORING
:- Used to mark uninteresting points in a
plot; gray.
COLOR.SIGNIFICANT
:- Used to mark points that are
statistically significant; red
COLOR.EXPECTED
:- Used to draw curves representing
an expected distribution; blue
COLOR.OBSERVED
:- Used to draw curves indicating the
observed distribution; darkgreen
COLOR.PERMTEST
:- Used to draw curves indicating
distributions derived from a permutation test; magenta
COLOR.FITTED
:- Used to draw curves obtained by some
fitting procedure, such as loess; orange
COLOR.CENTRAL.LINE
:- Used to draw lines through the
centers of distributions or expected values; blue
COLOR.CONFIDENCE.CURVE
:- Used to draw confidence bounds
around curves; red3
COLOR.BAD.REPLICATE
:- Used to indicate highly variable
points; purple1
COLOR.WORST.REPLICATE
:- Used to mark extraordinarily
variable points; purple3
COLOR.FOLD.DIFFERENCE
:- Used to indicate points with
large fold difference; skyblue
COLOR.BAD.REPLICATE.RATIO
:- Used to flag points for
which the ratios at replicate spots are highly variable; violetred
COLOR.TOP.TEN
:- Used to mark points in the "top ten"
list; cadetblue
COLOR.BOTTOM.TEN
:- Used to mark points in "bottom ten"
list of most underexpressed genes; pink
COLOR.BOTTOM.TEN.SOLO
:- Use unknown; palegreen
COLOR.TOP.TEN.SOLO
:- Use unknown; deeppink
Examples
x <- seq(0, 2*pi, by=0.1)
plot(x, sin(x), col=COLOR.BORING)
[Package
PreProcess version 2.5.0
Index]