FreesearchR/README.md

# FreesearchR <a href="https://agdamsbo.github.io/FreesearchR/"><img src="man/figures/logo.png" align="right" height="70" alt="FreesearchR website" /></a>

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The [***FreesearchR***](https://agdamsbo.shinyapps.io/FreesearchR/) is a simple, clinical health data exploration and analysis tool to democratise clinical research by assisting any researcher to easily evaluate and analyse data and export publication ready results.

[***FreesearchR***](https://agdamsbo.shinyapps.io/FreesearchR/) is free and open-source, and is directly accessible here: [link to the app freely hosted on shinyapps.io](https://agdamsbo.shinyapps.io/FreesearchR/). The app can also run locally, please see below.

All feedback is welcome and can be shared as a GitHub issue. Any suggestions on collaboration is much welcomed. Please reach out!

## Motivation

This app has the following simple goals:

1.   help the health clinician getting an overview of data in quality improvement projects and clinical research

1.   help learners get a good start analysing data and coding in *R*

1.   ease quick data overview and basic visualisations for any clinical researcher

## Install locally

The ***FreesearchR***-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/FreesearchR")
library(FreesearchR)
# By loading mtcars to the environment, it will be available 
# in the interface like any other data.frame
data(mtcars) 
launch_FreesearchR()
```

## Code of Conduct

Please note that the ***FreesearchR*** 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.

## Acknowledgements

Like any other project, this project was never possible without the great work of others. These are some of the sources and packages I have used:

-   The ***FreesearchR*** app is build with [Shiny](https://shiny.posit.co/) and based on [*R*](https://www.r-project.org/).

-   [gtsummary](https://www.danieldsjoberg.com/gtsummary/): superb and flexible way to create publication-ready analytical and summary tables.

-   [dreamRs](https://github.com/dreamRs): maintainers of a broad selection of great extensions and tools for [Shiny](https://shiny.posit.co/).

-   [easystats](https://easystats.github.io/easystats/): the [`performance::check_model()`](https://easystats.github.io/performance/articles/check_model.html) function was central in sparking the idea to create a data analysis tool.

-   [IDEAfilter](https://biogen-inc.github.io/IDEAFilter/): a visually appealing data filter function based on the [{shinyDataFilter}](https://github.com/dgkf/shinyDataFilter).

This project was all written by a human and not by any AI-based tools.