Automatic Plot of Combined Multi Dist Data

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_combined_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_four_autoplot(), tidy_multi_dist_autoplot(), tidy_random_walk_autoplot()

Author

Steven P. Sanderson II, MPH

Examples

combined_tbl <- tidy_combine_distributions(
  tidy_normal(),
  tidy_gamma(),
  tidy_beta()
)

combined_tbl
#> # A tibble: 150 × 8
#>    sim_number     x      y    dx       dy      p      q dist_type       
#>    <fct>      <int>  <dbl> <dbl>    <dbl>  <dbl>  <dbl> <fct>           
#>  1 1              1 -0.551 -3.55 0.000360 0.291  -0.551 Gaussian c(0, 1)
#>  2 1              2 -0.652 -3.39 0.000993 0.257  -0.652 Gaussian c(0, 1)
#>  3 1              3  1.24  -3.24 0.00245  0.892   1.24  Gaussian c(0, 1)
#>  4 1              4  0.791 -3.09 0.00541  0.785   0.791 Gaussian c(0, 1)
#>  5 1              5 -2.16  -2.93 0.0108   0.0156 -2.16  Gaussian c(0, 1)
#>  6 1              6 -1.79  -2.78 0.0193   0.0366 -1.79  Gaussian c(0, 1)
#>  7 1              7 -0.428 -2.63 0.0314   0.334  -0.428 Gaussian c(0, 1)
#>  8 1              8  1.10  -2.47 0.0466   0.864   1.10  Gaussian c(0, 1)
#>  9 1              9  1.69  -2.32 0.0639   0.955   1.69  Gaussian c(0, 1)
#> 10 1             10 -1.41  -2.17 0.0818   0.0793 -1.41  Gaussian c(0, 1)
#> # ℹ 140 more rows

combined_tbl |>
  tidy_combined_autoplot()


combined_tbl |>
  tidy_combined_autoplot(.plot_type = "qq")