stat_quantile(mapping = NULL, data = NULL, geom = "quantile", position = "identity",
quantiles = c(0.25, 0.5, 0.75), formula = NULL, method = "rq", na.rm = FALSE,
...)
rq.FALSE (the default), removes
missing values with a warning. If TRUE silently
removes missing values.aes or aes_string. Only
needs to be set at the layer level if you are overriding
the plot defaults.layer. This can include aesthetics whose
values you want to set, not map. See layer
for more details.a data.frame with additional columns: quantilequantile of distribution
Continuous quantiles.
stat_quantile understands the following aesthetics (required aesthetics are in bold):
x
y
msamp <- movies[sample(nrow(movies), 1000), ] m <- ggplot(msamp, aes(year, rating)) + geom_point() m + stat_quantile()Smoothing formula not specified. Using: y ~ x
m + stat_quantile(quantiles = 0.5)Smoothing formula not specified. Using: y ~ x
q10 <- seq(0.05, 0.95, by=0.05) m + stat_quantile(quantiles = q10)Smoothing formula not specified. Using: y ~ x
# You can also use rqss to fit smooth quantiles m + stat_quantile(method = "rqss")
# Note that rqss doesn't pick a smoothing constant automatically, so # you'll need to tweak lambda yourself m + stat_quantile(method = "rqss", lambda = 10)
m + stat_quantile(method = "rqss", lambda = 100)
# Use 'votes' as weights for the quantile calculation m + stat_quantile(aes(weight=votes))Smoothing formula not specified. Using: y ~ x
# Change scale m + stat_quantile(aes(colour = ..quantile..), quantiles = q10)Smoothing formula not specified. Using: y ~ x
m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) + scale_colour_gradient2(midpoint = 0.5)Smoothing formula not specified. Using: y ~ x
# Set aesthetics to fixed value m + stat_quantile(colour = "red", size = 2, linetype = 2)Smoothing formula not specified. Using: y ~ x
# Use qplot instead qplot(year, rating, data=movies, geom="quantile")Smoothing formula not specified. Using: y ~ x