This stat computes quantiles of the sample and theoretical distribution for the purpose of providing reference lines for QQ-plots.
An aesthetic mapping produced with aes()
or
aes_string()
.
A data frame.
A geom.
A position object.
Additional arguments
A quantile function.
A list of arguments for distribution
.
A logical indicating whether a warning should be issued when missing values are removed before plotting.
A logical indicating whether legends should be included
for this layer. If NA
, legends will be include for each aesthetic
that is mapped.
A logical indicating whether aesthetics should be
inherited. When FALSE
, the supplied mapping
will be
the only aesthetics used.
data(penguins, package = "palmerpenguins")
ggplot(data = penguins, aes(sample = bill_length_mm)) +
geom_qq() +
stat_qqline(alpha = 0.7, color = "red", linetype = "dashed") +
facet_wrap(~species)
#> Warning: Removed 2 rows containing non-finite values (`stat_qq()`).
#> Warning: Removed 2 rows containing non-finite values (`stat_qqline()`).
#> Warning: The following aesthetics were dropped during statistical transformation: sample
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#> the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#> variable into a factor?
#> Warning: The following aesthetics were dropped during statistical transformation: sample
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#> the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#> variable into a factor?
#> Warning: The following aesthetics were dropped during statistical transformation: sample
#> ℹ This can happen when ggplot fails to infer the correct grouping structure in
#> the data.
#> ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
#> variable into a factor?