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@ -29,49 +29,87 @@ This app has the following simple goals:
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3. ease quick data overview and basic visualisations for any clinical
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researcher
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## Run locally on your own machine
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Here’s a polished and restructured version of your README section for
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clarity, conciseness, and user-friendliness:
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The ***FreesearchR*** app can also run on your own machine with no data
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transmitted anywhere. Blow are the available options.
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## Run Locally on Your Own Machine
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### Run from R (or RStduio)
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The **FreesearchR** app can be run locally on your machine, ensuring no
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data is transmitted externally. Below are the available options for
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setup and configuration.
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Working with data in R, FreesearchR is a quick and easy tool to get
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overview and perform the first explorative analyses to get you going.
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### Configuration & Data Loading
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Any data available in the your R session will be available to the
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FreesearchR app. Just follow the below steps to get going:
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The app can be configured either by passing a named list to `run_app()`
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or by setting environment variables in a **Docker Compose** file. The
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following variables control data access and display behavior. If no
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values are provided, the app will use the defaults listed below.
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1. **Requirement:** You need to have [*R*
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installed](https://www.r-project.org/) and possibly an editor like
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**Configuration Variables**
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| Variable | Description | Default |
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|----------------------|-------------------------------------------------------------------------|-----------|
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| `INCLUDE_GLOBALENV` | Load datasets already present in the global R environment into the app | `FALSE` |
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| `DATA_LIMIT_DEFAULT` | Default number of observations for previewing or working with a dataset | `10,000` |
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| `DATA_LIMIT_UPPER` | Maximum number of observations a user can set for the upper limit | `100,000` |
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| `DATA_LIMIT_LOWER` | Minimum number of observations a user can set for the lower limit | `1` |
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### Run from R (or RStudio)
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If you’re working with data in R, **FreesearchR** is a quick and easy
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tool for exploratory analysis.
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1. **Requirement:** Ensure you have [R](https://www.r-project.org/)
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installed, and optionally an editor like
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[RStudio](https://posit.co/download/rstudio-desktop/).
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2. Then open the *R* console and copy/paste the following code, that
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will install the [devtools](https://devtools.r-lib.org/) package and
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then the [FreesearchR](https://github.com/agdamsbo/FreesearchR)
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*R*-package with its dependencies:
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2. Open the **R console** and run the following code to install the
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[FreesearchR](https://github.com/agdamsbo/FreesearchR) package and
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launch the app:
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require("devtools")
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devtools::install_github("agdamsbo/FreesearchR")
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library(FreesearchR)
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# By loading mtcars to the environment, it will be available
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# in the interface like any other data.frame
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data(mtcars)
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launch_FreesearchR()
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``` r
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if (!require("devtools")) install.packages("devtools")
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devtools::install_github("agdamsbo/FreesearchR")
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library(FreesearchR)
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# Load sample data (e.g., mtcars) to make it available in the app
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data(mtcars)
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launch_FreesearchR(INCLUDE_GLOBALENV=TRUE)
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```
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### Running with docker compose
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All the variables specified above can also be passed to the app on
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launch from R.
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For advanced users, wanting to deploy the FreesearchR app to run
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anywhere, a docker image is available.
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### Running with Docker Compose
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Below is the minimal `docker_compose.yml` file:
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For advanced users, you can deploy **FreesearchR** using Docker. A data
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folder can be mounted to `/app/data` to automatically load supported
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file types (`.csv`, `.tsv`, `.txt`, `.xls`, `.xlsx`, `.ods`, `.dta`,
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`.rds`) at startup.
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services:
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freesearchr:
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image: ghcr.io/agdamsbo/freesearchr:latest
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ports:
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- '3838:3838'
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restart: on-failure
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To mount a local data folder, add a `volumes` entry to your
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`docker-compose.yml` file:
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``` yaml
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services:
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shiny:
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image: ghcr.io/agdamsbo/freesearchr:latest
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volumes:
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- ./data:/app/data:ro
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environment:
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- INCLUDE_GLOBALENV=FALSE
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- DATA_LIMIT_DEFAULT=10000
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- DATA_LIMIT_UPPER=100000
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- DATA_LIMIT_LOWER=1
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ports:
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- '3838:3838'
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restart: on-failure
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```
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- The `:ro` flag mounts the folder as **read-only**, preventing the app
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from modifying your original data files.
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- If no volume is mounted, the app will start without any preloaded
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datasets.
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## Code of Conduct
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