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