This data package provides open datasets from meta-analyses from different areas in psychological science.
Until it’s available on CRAN, you can install this package from GitHub with:
# install.packages("devtools")
devtools::install_github("josue-rodriguez/psymetadata")
If you’d like to contribute a dataset to this package please do the following steps:
Clone the repository to your local machine
Clean your dataset so it is of type data.frame
and has at least the
following columns:
study_id
: unique id for studyes_id
: unique id for effect size (if applicable)yi
: effect sizevi
: variance of effect sizeColumn names should follow snake case formatting. This can easily be
done by calling janitor::clean_names()
on your data set.
Feel free to include as many moderators or additional columns as you would like.
Assign your dataset to an object with the format [firstauthor][year]
and save it to the data
folder with the format
[firstauthor][year].rda
, e.g.
curry2015 <- cleaned_dataset
save(curry2015, file = "data/curry2015.rda")
where curry2015
is a dataset originally collected from the publication
Curry, Thompson, and Green (2015)
Add a bibtex reference to the inst/REFERENCES.bib
file. This can be
easily obtained with a citation manager (e.g., Zotero) or with Google
scholar
Document your dataset at the bottom of the R/data.R
file.
The documentation should roughly follow this format:
#' @title [Title]
#'
#' @description Results from [# of studies] studies, including [# of effect sizes] effect
#' sizes ([type of effect size]), on [short description of studies] \insertCite{[cite key]}{psymetadata}.
#'
#' @format A data frame with [# of rows] rows and [# of columns] variables:
#'
#' * \code{yi}: [description]
#' * \code{vi}: [description]
#' * \code{study_id}: [description]
#' * \code{es_id}: [description]
#' * \code{moderator1}: [description]
#' * \code{moderator2}: [description]
#'
#'
#' @md
#'
#' @details Further details can be found at \href{[link]}{[link]}
#'
#' @usage data("[dataset]")
#'
#' @references
#' \insertAllCited{}
"[dataset]"
data.R
file for more examplesSubmit a pull request
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