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Automatic Plot of Multi Dist Data

Source: R/autoplot-multi-dist.R
tidy_multi_dist_autoplot.Rd

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_multi_dist_autoplot(
  .data,
  .plot_type = "density",
  .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 the function tidy_multi_dist()

.plot_type

This is a quoted string like 'density'

.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

See also

Other Autoplot: bootstrap_stat_plot(), tidy_autoplot(), tidy_combined_autoplot(), tidy_four_autoplot(), tidy_random_walk_autoplot()

Author

Steven P. Sanderson II, MPH

Examples

tn <- tidy_multi_single_dist(
  .tidy_dist = "tidy_normal",
  .param_list = list(
    .n = 100,
    .mean = c(-2, 0, 2),
    .sd = 1,
    .num_sims = 5,
    .return_tibble = TRUE
  )
)

tn |>
  tidy_multi_dist_autoplot()


tn |>
  tidy_multi_dist_autoplot(.plot_type = "qq")