FreesearchR/README.md

2.5 KiB

freesearcheR

Lifecycle: experimental rhub freesearcheR

This package is the backbone of the free and open browser based data exploration and analysis tool with publication ready output.

This package and the freesearcheR-tool is part of a large project to democratize health data analysis and removing barriers for clinicians to engage in health research.

the freesearcheR-tool is online and accessible here: link to the app freely hosted on shinyapps.io. All feedback is welcome and can be shared as a GitHub issue.

Initiatives for funding continued development of the tool and surrounding initiatives is ongoing.

Roadmap

  • Stratified analyses

  • Additional study designs:

    • Cross-sectional data analyses

    • Longitudinal data analyses

    • Survival analysis

  • More detailed variable browser

    • Add histograms for data distribution. 2025-01-16

    • Option to edit labels. 2025-01-16

  • Plot regression analyses results

  • Export modified data. 2025-01-16

  • Include reproducible code for all steps

  • Modify factor levels Factor level modifications is possible through converting factors to numeric > cutting numeric with desired fixed values. 2024-12-12

  • More options for date/datetime/time grouping/factoring. Included weekday and month-only options. 2024-12-12

Install locally

The freesearcheR-tool can also be launched locally. Any data.frame available in the global environment will be accessible from the interface.

require("devtools")
devtools::install_github("agdamsbo/freesearcheR")
library(freesearcheR)
# By loading mtcars to the environment, it will be available 
# in the interface like any other data.frame
data(mtcars) 
shiny_freesearcheR()

Code of Conduct

Please note that the freesearcheR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.