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Automatic Plot of Random Walk Data

Source: R/autoplot-randomwalk.R
tidy_random_walk_autoplot.Rd

This is an auto-plotting function that will take in a tidy_ distribution function and a few arguments with regard to the output of the visualization.

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_random_walk_autoplot(
  .data,
  .line_size = 0.5,
  .geom_rug = FALSE,
  .geom_smooth = FALSE,
  .interactive = FALSE
)

Arguments

.data

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

.line_size

The size param 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'.

.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 produce a simple random walk plot from a tidy_ distribution function.

See also

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

Author

Steven P. Sanderson II, MPH

Examples

tidy_normal(.sd = .1, .num_sims = 5) |>
  tidy_random_walk(.value_type = "cum_sum") |>
  tidy_random_walk_autoplot()


tidy_normal(.sd = .1, .num_sims = 20) |>
  tidy_random_walk(.value_type = "cum_sum", .sample = TRUE, .replace = TRUE) |>
  tidy_random_walk_autoplot()