stat_ecdf(mapping = NULL, data = NULL, geom = "step", position = "identity", n = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)
aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.
FALSE(the default), removes missing values with a warning. If
TRUEsilently removes missing values.
NA, the default, includes if any aesthetics are mapped.
FALSEnever includes, and
FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g.
layer. This can include aesthetics whose values you want to set, not map. See
layerfor more details.
Empirical Cumulative Density Function
df <- data.frame(x = rnorm(1000)) ggplot(df, aes(x)) + stat_ecdf(geom = "step")
df <- data.frame(x = c(rnorm(100, 0, 3), rnorm(100, 0, 10)), g = gl(2, 100)) ggplot(df, aes(x, colour = g)) + stat_ecdf()