Skip to contents

Show multiverse data code pipelines

Source: R/show-pipelines.R
show_code.Rd

show_code is the generic function. All show_code* functions are simple wrappers of show_code.

Usage

show_code(
  .grid,
  decision_num,
  .step = "model",
  .post_step = NULL,
  .execute = FALSE
)

show_code_subgroups(.grid, decision_num, ...)

show_code_filters(.grid, decision_num, ...)

show_code_preprocess(.grid, decision_num, ...)

show_code_model(.grid, decision_num, ...)

show_code_postprocess(.grid, decision_num, ...)

show_code_summary_stats(
  .grid,
  decision_num,
  summary_set = 1,
  copy = FALSE,
  console = TRUE,
  execute = FALSE,
  ...
)

show_code_corrs(
  .grid,
  decision_num,
  corr_set = 1,
  copy = FALSE,
  console = TRUE,
  execute = FALSE,
  ...
)

show_code_reliabilities(
  .grid,
  decision_num,
  rel_set = 1,
  copy = FALSE,
  console = TRUE,
  execute = FALSE,
  ...
)

Arguments

.grid

a full decision grid created by expand_decisions or a fully analyzed grid produced by analyze_grid.

decision_num

numeric. Indicates which decision set in the grid to show underlying code.

.step

a point along the pipeline for which you would like to show the underlying code. Defaults to the model.

.post_step

Only relevant if you are exposing a postprocessing step. If you have more than one postprocess, you can specify which you would like to expose by index or by name.

.execute

logical, whether or not to run the code as well as print it.

...

additional arguments passed to show_code()

summary_set

numeric. For show_code_summary_stats, Which set of summary statistics to print. Default is set to the 1.

copy

logical, whether to copy code to clipboard

console

logical, whether to paste code into the console

execute

logical, whether to run the code

corr_set

numeric. For show_code_corrs, Which set of correlations to print. Default is set to the 1.

rel_set

numeric. For show_code_reliabilities, Which set of reliabilities to print. Default is set to the 1.

Value

the code that generated results up to the specified point in an analysis pipeline.

Details

Each show_code* function should be self-explanatory - they indicate where along the multiverse pipeline to extract code. The goal of these functions is to create a window into each data/model combination and allow the user to inspect specific decisions straight from the code that produced it.

Functions

  • show_code_subgroups(): Show the code up to the subgroups stage

  • show_code_filters(): Show the code up to the filtering stage

  • show_code_preprocess(): Show the code up to the preprocessing stage

  • show_code_model(): Show the code up to the modeling stage

  • show_code_postprocess(): Show the code up to the post-processing stage

  • show_code_summary_stats(): Show the code for computing summary statistics

  • show_code_corrs(): Show the code for computing correlations

  • show_code_reliabilities(): Show the code for computing scale reliability