reproduce_analysis: Reproduce the Analysis for Longitudinal Illusory Truth Study
In truthiness: Illusory Truth Longitudinal Study

Description Usage Arguments Details Value See Also Examples

Re-run the analysis for the \insertCiteHenderson_Simons_Barr_2021;textualtruthiness longitudinal truth study.

reproduce_analysis(
  outfile = "analysis.html",
  refit = FALSE,
  savefig = FALSE,
  recipe = FALSE,
  parallel = TRUE,
  infile = NULL
)

`outfile`	Path to the HTML output file.
`refit`	Whether to re-fit the cumulative link mixed model `TRUE` or to use the built-in model fits (`FALSE`). Due to the extremely time-consuming nature of model estimation, the default is set to `FALSE`.
`savefig`	Whether to save the two plots as separate PNG files (`means_plot.png` and `validation_plot.png`).
`recipe`	Include instructions on how to reproduce the analysis.
`parallel`	Whether to fit models using a single CPU processing core (`FALSE`) or multiple cores (`TRUE`, the default). If `refit` is `FALSE`, this parameter is ignored.
`infile`	Path to the R Markdown script; `NULL` to use the built-in script.

Runs R Markdown script containing the analysis code. The analysis is performed on the built-in preprocessed anonymized data (documented in truth_trajectory_data). The script output is rendered as an HTML report, specified by outfile. Although it is not necessary to do so, the master R Markdown script for processing real data can be accessed using

rmarkdown::draft("analysis.Rmd", "illusory-truth-analysis", "truthiness")

A string with the path to the generated HTML report.

Path to the rendered HTML report.

reproduce_analysis_sim

tf <- tempfile(fileext = ".html")

## Run the built-in R Markdown script without refitting models.
## To re-fit the models, set refit = TRUE
## (NB: refitting can take ~ 24 hours)
reproduce_analysis(tf)

browseURL(tf)

## clean up
if (file.exists(tf)) file.remove(tf)