FreesearchR/README.md

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# freesearcheR
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[![freesearcheR](https://img.shields.io/badge/Shiny-shinyapps.io-blue?style=flat&labelColor=white&logo=RStudio&logoColor=blue)](https://agdamsbo.shinyapps.io/freesearcheR/)
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This package is the backbone of the ***freesearcheR***, a free and open-source browser based data exploration and analysis tool for clinicians and researchers with publication ready output.
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This package and the ***freesearcheR***-tool is part of a larger initiative to democratize health data analysis and remove barriers for clinicians to engage in health research.
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the ***freesearcheR***-tool is online and accessible here: [link to the app freely hosted on shinyapps.io](https://agdamsbo.shinyapps.io/freesearcheR/). All feedback is welcome and can be shared as a GitHub issue.
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Initiatives for funding continued development of the tool and surrounding initiatives is ongoing.
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## Roadmap
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The current state of the app is considered experimental, and a lot of things are still changing. It is, however, in a usable state, with basic functions available to the user.
Below are some (the actual list is quite long and growing) of the planned features and improvements:
- [ ] Stratified analyses
- Additional study designs:
- [x] Cross-sectional data analyses
- [ ] Longitudinal data analyses
- [ ] Survival analysis
- More detailed variable browser
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- [x] Add histograms for data distribution. 2025-01-16
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- [x] Option to edit labels. 2025-01-16
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- More output controls
- [ ] Theming output tables
- [ ] Select analyses to include in report
- [ ] Plot regression analyses results
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- [x] Export modified data. 2025-01-16
- [ ] Include reproducible code for all steps
- [x] ~~Modify factor levels~~ Factor level modifications is possible through converting factors to numeric > cutting numeric with desired fixed values. 2024-12-12
- [x] 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)
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# 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](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.