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 for this layer.
When using a
|
position |
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The
|
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If 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 |
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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