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@labrgrupo labrgrupo released this 29 Oct 05:46
· 9 commits to main since this release
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LabRI local release

LabRI Shiny Application

Local application package · Reference interval estimation and verification

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⬇️ Download LabRI

Download LabRI v5.5.3 — Complete application package

LabRI_tool_v5.5.3.zip
Download the package, extract all files, and follow the instructions below.


About this release

This release provides the local LabRI Shiny application as a complete ZIP package. LabRI runs on your computer using R and RStudio, provides a graphical interface for reference interval estimation and verification, and saves analysis outputs and HTML reports locally.

First use: install R and RStudio → download and extract the LabRI ZIP → open Install_packages.Rmd and install the required R packages → close that document → open app.R → click Run App.

Prerequisites

Before starting, install both programs on your computer:

  1. R: Download R from CRAN. Select the installer for your operating system.
  2. RStudio Desktop: Download RStudio Desktop from Posit. Install R first, then RStudio.

An internet connection is required to download the application and install its R package dependencies.

Package contents

Keep the following files and folders together after extracting the ZIP:

Extracted application folder/
├── 1_License/                       # License files
├── 2_Supplementary_files/           # Supplementary files supplied with LabRI
├── 3_Outputs/                       # Analysis output folder
├── 4_Report_HTML/                   # HTML report folder
├── www/                            # Supporting web assets for the interface
├── AMY_Female_Male_Omuse_et.al_2020… # Example Excel dataset (name abbreviated)
├── app.R                           # Shiny application: open this to start LabRI
├── Install_packages.Rmd            # Instructions and code to install R packages
├── LabRI_script.Rmd                # Analytical workflow called by the application
└── Project_LabRI_Shiny.Rproj        # RStudio project

Installation and first use

Step 1 — Download the application package

Click the DOWNLOAD LabRI button above or use this direct link:

Download LabRI_tool_v5.5.3.zip

The same application ZIP package is available under Assets at the bottom of this release.

Step 2 — Extract the entire ZIP

Extract all files and folders to a location on your computer where you can save files. Preserve the folder structure shown above.

Step 3 — Open the RStudio project

Open Project_LabRI_Shiny.Rproj to load the application folder as a project in RStudio.

Step 4 — Install the required R packages

In RStudio, open Install_packages.Rmd.

Read its instructions and run the installation code chunks in the order presented, using the green Run Current Chunk button in each chunk.

Wait for all required packages to finish installing successfully before continuing.

This step prepares the dependencies needed by the Shiny interface and the analytical workflow. It is normally required only once for a given R installation.

Step 5 — Close the installation document

When installation is complete, close the Install_packages.Rmd tab.

Keep RStudio open.

Step 6 — Open the application

In the same project, open app.R.

Step 7 — Click Run App

Click Run App at the top of the app.R editor pane in RStudio.

Wait for the LabRI interface to open. You can then select your data, configure the analysis, and start using the tool.

The application calls LabRI_script.Rmd during analysis; you do not need to run that document separately for normal use through the Shiny interface.

Starting LabRI again

After the initial installation:

  1. Open Project_LabRI_Shiny.Rproj.
  2. Open app.R.
  3. Click Run App.

Local outputs

Analysis outputs are saved in 3_Outputs/, and HTML reports are saved in 4_Report_HTML/.

Keep RStudio and the R session running while using LabRI. The extracted application folder must remain writable so the tool can save its results.


Read the LabRI installation and usage instructions



LabRI Shiny Application · Local release

Developed by Alan Carvalho Dias · Grupo Lab R · GPL-3.0