| scale_colour_gradientn {ggplot2} | R Documentation |
Smooth colour gradient between n colours
scale_colour_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar")
... |
Other arguments passed on to |
colours |
vector of colours |
values |
if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
|
space |
colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white. |
na.value |
Colour to use for missing values |
guide |
Type of legend. Use |
Other colour scales: scale_color_brewer,
scale_color_distiller,
scale_colour_brewer,
scale_colour_distiller,
scale_fill_brewer,
scale_fill_distiller;
scale_color_continuous,
scale_color_gradient,
scale_colour_continuous,
scale_colour_gradient,
scale_fill_continuous,
scale_fill_gradient;
scale_color_discrete,
scale_color_hue,
scale_colour_discrete,
scale_colour_hue,
scale_fill_discrete,
scale_fill_hue;
scale_color_gradient2,
scale_colour_gradient2,
scale_fill_gradient2;
scale_color_grey,
scale_colour_grey,
scale_fill_grey
# scale_colour_gradient make it easy to use existing colour palettes dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) dsub$diff <- with(dsub, sqrt(abs(x-y))* sign(x-y)) (d <- qplot(x, y, data=dsub, colour=diff)) d + scale_colour_gradientn(colours = rainbow(7)) breaks <- c(-0.5, 0, 0.5) d + scale_colour_gradientn(colours = rainbow(7), breaks = breaks, labels = format(breaks)) d + scale_colour_gradientn(colours = topo.colors(10)) d + scale_colour_gradientn(colours = terrain.colors(10)) # You can force them to be symmetric by supplying a vector of # values, and turning rescaling off max_val <- max(abs(dsub$diff)) values <- seq(-max_val, max_val, length = 11) d + scale_colour_gradientn(colours = topo.colors(10), values = values, rescaler = function(x, ...) x, oob = identity) d + scale_colour_gradientn(colours = terrain.colors(10), values = values, rescaler = function(x, ...) x, oob = identity)