Description Usage Arguments Aesthetics Computed variables Examples
A quantile-quantile plot
1 2 3 4 5 6 7 | 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 A A |
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 |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
statqq
sample quantiles
theoretical quantiles
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | df <- data.frame(y = rt(200, df = 5))
p <- ggplot(df, aes(sample = y))
p + stat_qq()
p + geom_point(stat = "qq")
# Use fitdistr from MASS to estimate distribution params
params <- as.list(MASS::fitdistr(df$y, "t")$estimate)
ggplot(df, aes(sample = y)) +
stat_qq(distribution = qt, dparams = params["df"])
# Using to explore the distribution of a variable
ggplot(mtcars) +
stat_qq(aes(sample = mpg))
ggplot(mtcars) +
stat_qq(aes(sample = mpg, colour = factor(cyl)))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.