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RESQUER

An R package for analyzing the data from the RESQUE Research Quality Evaluation scheme. This is work in progress, and likely to change.

Install the development versions from GitHub with:

install.packages("remotes")

# OAmetrics has some convenience functions to retrieve data from
# OpenAlex, such as h-index, JIF, citation counts, etc.
remotes::install_github("nicebread/OAmetrics", auth_token=NULL)
remotes::install_github("RESQUE-Framework/RESQUER", auth_token=NULL)

The package is not on CRAN yet.

How to create an individual profiles (html files):

You need Quarto installed on your system:

Then run this code:

library(quarto)
library(RESQUER)

# The rendered html file is created in the same folder as the input json file.
# `outfile` also contains the path to the rendered file

# Render a single profile:
outfile <- render_profile("resque_123456.json", show_inter = TRUE)

# You can also render multiple profiles in a loop:
json_files <- list.files("path_to_folder", pattern="resque_.*\\.json", full.names = TRUE)
for (j in json_files) {
  print(paste0("Rendering ", j))
  render_profile(j, show_inter = TRUE)
}

How to create an overview of multiple candidates (html file):

You need Quarto installed on your system. The render_overview() function creates an overview of multiple candidates in a single html file.

library(quarto)
library(RESQUER)

# The rendered html file is created in the same folder as the input json files.
# `outfile` also contains the path to the rendered overview file.
folder_path = "/path/to/json/folder"
outfile <- render_overview(folder_path)