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This is an auto plotting function that will take in a tidy_ distribution function and a few arguments, one being the plot type, which is a quoted string of one of the following:

  • density

  • quantile

  • probablity

  • qq

  • mcmc

If the number of simulations exceeds 9 then the legend will not print. The plot subtitle is put together by the attributes of the table passed to the function.

Usage

tidy_four_autoplot(
  .data,
  .line_size = 0.5,
  .geom_point = FALSE,
  .point_size = 1,
  .geom_rug = FALSE,
  .geom_smooth = FALSE,
  .geom_jitter = FALSE,
  .interactive = FALSE
)

Arguments

.data

The data passed in from a tidy_distribution function like tidy_normal()

.line_size

The size param ggplot

.geom_point

A Boolean value of TREU/FALSE, FALSE is the default. TRUE will return a plot with ggplot2::ggeom_point()

.point_size

The point size param for ggplot

.geom_rug

A Boolean value of TRUE/FALSE, FALSE is the default. TRUE will return the use of ggplot2::geom_rug()

.geom_smooth

A Boolean value of TRUE/FALSE, FALSE is the default. TRUE will return the use of ggplot2::geom_smooth() The aes parameter of group is set to FALSE. This ensures a single smoothing band returned with SE also set to FALSE. Color is set to 'black' and linetype is 'dashed'.

.geom_jitter

A Boolean value of TRUE/FALSE, FALSE is the default. TRUE will return the use of ggplot2::geom_jitter()

.interactive

A Boolean value of TRUE/FALSE, FALSE is the default. TRUE will return an interactive plotly plot.

Value

A ggplot or a plotly plot.

Details

This function will spit out one of the following plots:

  • density

  • quantile

  • probability

  • qq

  • mcmc

Author

Steven P. Sanderson II, MPH

Examples

tidy_normal(.num_sims = 5) |>
  tidy_four_autoplot()