qqplot.accept_reject {AcceptReject}

QQ-Plot Plot the QQ-Plot between observed quantiles and theoretical quantiles.

Description

QQ-Plot Plot the QQ-Plot between observed quantiles and theoretical quantiles.

Usage

## S3 method for class 'accept_reject'
qqplot(
  x,
  alpha = 0.5,
  color_points = "#F890C2",
  color_line = "#BB9FC9",
  size_points = 1,
  size_line = 1,
  ...
)

Arguments

x

Object of the class accept_reject returned by the function accept_reject().

alpha

Transparency of the points and reference line representing where the quantiles should be (theoretical quantiles).

color_points

Color of the points (default is "#F890C2").

color_line

Color of the reference line (detault is "#BB9FC9").

size_points

Size of the points (default is 1).

size_line

Thickness of the reference line (default is 1).

...

Additional arguments for the quantile() function. For instance, it's possible to change the algorithm type for quantile calculation.

Details

The function qqplot.accept_reject() for samples larger than ten thousand, the geom_scattermost() function from the scattermore library is used to plot the points, as it is more efficient than geom_point() from the ggplot2 library.

Value

An object of classes gg and ggplot with the QQ-Plot between the observed quantiles generated by the return of the function accept_reject() and the theoretical quantiles of the true distribution.

See Also

qqplot.accept_reject(), accept_reject(), plot.accept_reject(), inspect() and qqplot().

Examples

set.seed(0) # setting a seed for reproducibility

x <- accept_reject(
  n = 2000L,
  f = dbinom,
  continuous = FALSE,
  args_f = list(size = 5, prob = 0.5),
  xlim = c(0, 5)
)
qqplot(x)

y <- accept_reject(
  n = 1000L,
  f = dnorm,
  continuous = TRUE,
  args_f = list(mean = 0, sd = 1),
  xlim = c(-4, 4)
)
qqplot(y)