stat_pp_line | R Documentation |
Draws a probability-probability line.
stat_pp_line( mapping = NULL, data = NULL, geom = "path", position = "identity", na.rm = TRUE, show.legend = NA, inherit.aes = TRUE, ab = c(0, 1), detrend = FALSE, ... )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
The geometric object to use to display the data, either as a
|
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
ab |
Numeric vector of length two. The intercept ( |
detrend |
Logical. Should the plot objects be detrended? If |
... |
Other arguments passed on to |
# generate random Normal data set.seed(0) smp <- data.frame(norm = rnorm(100)) # Normal P-P plot of Normal data gg <- ggplot(data = smp, mapping = aes(sample = norm)) + stat_pp_line() + stat_pp_point() + labs(x = "Probability Points", y = "Cumulative Probability") gg # Shifted Normal P-P plot of Normal data dp <- list(mean = 1.5) gg <- ggplot(data = smp, mapping = aes(sample = norm)) + stat_pp_line() + stat_pp_point(dparams = dp) + labs(x = "Probability Points", y = "Cumulative Probability") gg # Normal P-P plot of mean ozone levels (airquality dataset) dp <- list(mean = 38, sd = 27) gg <- ggplot(data = airquality, mapping = aes(sample = Ozone)) + stat_pp_line() + stat_pp_point(dparams = dp) + labs(x = "Probability Points", y = "Cumulative Probability") gg
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