geom_qq() and stat_qq() produce quantile-quantile plots. geom_qq_line() and stat_qq_line() compute the slope and intercept of the line connecting the points at specified quartiles of the theoretical and sample distributions.
geom_qq_line({
"mapping" = null,
"data" = null,
"geom" = "path",
"position" = "identity",
"...",
distribution = stats::qnorm,
dparams = list({}),
line.p = c({0.25, 0.75}),
"fullrange" = false,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
stat_qq_line({
"mapping" = null,
"data" = null,
"geom" = "path",
"position" = "identity",
"...",
distribution = stats::qnorm,
dparams = list({}),
line.p = c({0.25, 0.75}),
"fullrange" = false,
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
geom_qq({
"mapping" = null,
"data" = null,
"geom" = "point",
"position" = "identity",
"...",
distribution = stats::qnorm,
dparams = list({}),
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
stat_qq({
"mapping" = null,
"data" = null,
"geom" = "point",
"position" = "identity",
"...",
distribution = stats::qnorm,
dparams = list({}),
"na.rm" = false,
"show.legend" = NA,
"inherit.aes" = true
})
mapping |
Set of aesthetic mappings created by | |
---|---|---|
data |
The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)). | |
geom |
The geometric object to use display the data | |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. | |
... |
Other arguments passed on to | |
distribution |
Distribution function to use, if x not specified | |
dparams |
Additional parameters passed on to distribution function. | |
line.p |
Vector of quantiles to use when fitting the Q-Q line, defaults defaults to c(.25, .75). | |
fullrange |
Should the q-q line span the full range of the plot, or just the data | |
na.rm |
If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed. | |
show.legend |
logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display. | |
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, e.g. borders(). |
stat_qq() understands the following aesthetics (required aesthetics are in bold):
sample
group
x
y
Learn more about setting these aesthetics in vignette("cxplot2-specs").
stat_qq_line() understands the following aesthetics (required aesthetics are in bold):
sample
group
x
y
Learn more about setting these aesthetics in vignette("cxplot2-specs").
Variables computed by stat_qq():
sample
theoretical quantiles
Variables computed by stat_qq_line():
x
y-coordinates of the endpoints