stat_qq {ggplot2} | R Documentation |
Calculation for quantile-quantile plot
stat_qq(mapping=NULL, data=NULL, geom="point", position="identity", distribution=qnorm, na.rm=FALSE, ...)
mapping |
mapping between variables and aesthetics generated by aes |
data |
dataset used in this layer, if not specified uses plot dataset |
geom |
geometric used by this layer |
position |
position adjustment used by this layer |
distribution |
NULL |
na.rm |
NULL |
... |
Other arguments passed to distribution function |
This page describes stat_qq, see layer
and qplot
for how to create a complete plot from individual components.
A layer
The following aesthetics can be used with stat_qq. Aesthetics are mapped to variables in the data with the aes
function: stat\_qq(\code{aes}(x = var))
sample
: NULL (required)
x
: x position
y
: y position
Hadley Wickham, http://had.co.nz/
## Not run: # From ?qqplot y <- rt(200, df = 5) qplot(sample = y, stat="qq") # qplot is smart enough to use stat_qq if you use sample qplot(sample = y) qplot(sample = precip) qplot(sample = y, dist = qt, df = 5) qplot(sample = y, quantiles = seq(0,1, length=100)) df <- data.frame(y) ggplot(df, aes(sample = y)) + stat_qq() ggplot(df, aes(sample = y)) + geom_point(stat = "qq") # Using to explore the distribution of a variable qplot(sample = mpg, data = mtcars) qplot(sample = mpg, data = mtcars, colour = factor(cyl)) ## End(Not run)