scale_brow_continuous | R Documentation |
scale_brow
lets you customise how eyebrows are generated from your data.
It also lets you tweak the appearance of legends and so on.
By default, brow
is set to NA
, in which case no eyebrows will appear (see Examples).
scale_brow_continuous(..., range = c(-1, 1), midpoint = mean) scale_brow(..., range = c(-1, 1), midpoint = mean)
... |
Other arguments passed onto |
range |
Output range of eyebrow angles. +1 corresponds to very angry and -1 corresponds to a worried look. |
midpoint |
A value or function of your data that will return level eyebrows, i.e. |
Use range
to vary how angrily your maximum/minimum values are represented.
Minima smaller than -1 and maxima greater than +1 are possible but might look odd!
You can use midpoint
to set a specific 'zero' value in your data or to have eyebrow angles represented as relative to average.
The function scale_brow
is an alias of scale_brow_continuous
.
At some point we might also want to design a scale_brow_discrete
, scale_brow_manual
and so on.
Legends are a work in progress. In particular, size
mappings might produce odd results.
A Scale
layer object for use with ggplot2
.
geom_chernoff
, scale_smile
library(ggplot2) p <- ggplot(iris) + aes(Sepal.Width, Sepal.Length, fill = Species, brow = Sepal.Length) + geom_chernoff() p p + scale_brow_continuous(midpoint = min) p + scale_brow_continuous(range = c(-.5, 2)) # Only show eyebrows if 'sad', otherwise hide them usa <- data.frame(date = c(time(presidents)), rating = c(presidents)) ggplot(subset(usa, complete.cases(usa))) + aes(date, rating, smile = rating, fill = rating, brow = ifelse(rating < 50, rating, NA)) + geom_line() + geom_chernoff(show.legend = FALSE) + scale_brow(range = -1:0) + scale_fill_gradient(low = 'skyblue1', high = 'goldenrod1')
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