The TriplotGUI tool can be accessible online at here. If you want to use TriplotGUI as a stand-alone application (using it only on a local computer), please follow the instruction below.

Install packages

To install and use TriplotGUI as a stand-alone application on your local computer, start by opening your R console or RStudio. Then, install the required packages by running the following code:

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if (!require(remotes)) {
  install.packages("remotes")  # Install the package if it's not available.
  library(remotes)             # Load it after installation.
}

remotes::install_gitlab("YingxiaoYan/TriplotGUI")

During installation, you may encounter prompts in your console. For package updates, it is recommended to choose “3. None”. If asked whether you want to install from source packages that need compilation, select “No”. When prompted about updating all, some, or none, it is advisable to choose “n”.

Load libraries

Once the installation is complete, load the TriplotGUI library by executing:

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library(TriplotGUI)

Change the maximize size of data file allowed

If you wish to change the maximum allowed data file size (the default is 5 MB), you can specify your preferred maximum size using the following code:

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filesize=100  ##MB
options(shiny.maxRequestSize=filesize*1024^2)

Activate the user interface

To activate the graphical user interface, run:

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TriplotGUI_shiny()

This will launch the TriplotGUI application on your local machine. Keep in mind that larger datasets may slow down the tool’s performance, so it is recommended to perform some variable selection before using very large datasets.

--- title: "Installation" filters: - lightbox lightbox: auto subtitle: "Install TriplotGUI as a stand-alone application or use it on webserver" title-block-banner: true title-block-banner-color: white title-block-categories: false page-layout: full format: html: margin-top: 0em margin-bottom: 0em padding-top: 0em padding-bottom: 0em minimal: true smooth-scroll: true fig-responsive: true toc-location: right toc-depth: 5 toc-title: Installation code-fold: show code-summary: "Show the code" code-overflow: wrap code-tools: true code-copy: true highlight: tango df-print: paged ## kable is another option How the dataframe looks like standalone: false ### specifies if all assets and libraries must be integrated into the output html file as a standalone document. fig-align: right theme: solar geometry: margin=lin --- The TriplotGUI tool can be accessible online at [here](https://metabocomp.shinyapps.io/triplotgui/){target="_blank"}. If you want to use TriplotGUI as a stand-alone application (using it only on a local computer), please follow the instruction below. # Install packages To install and use TriplotGUI as a stand-alone application on your local computer, start by opening your R console or RStudio. Then, install the required packages by running the following code: ```{r } #| eval: false #| echo: true #| warning: false #| error: true #| classes: styled-output if (!require(remotes)) { install.packages("remotes") # Install the package if it's not available. library(remotes) # Load it after installation. } remotes::install_gitlab("YingxiaoYan/TriplotGUI") ``` During installation, you may encounter prompts in your console. For package updates, it is recommended to choose "**3. None**". If asked whether you want to install from source packages that need compilation, select "**No**". When prompted about updating all, some, or none, it is advisable to choose "**n**".      # Load libraries Once the installation is complete, load the TriplotGUI library by executing: ```{r } #| eval: false #| echo: true #| warning: false #| error: true #| classes: styled-output library(TriplotGUI) ``` # Change the maximize size of data file allowed If you wish to change the maximum allowed data file size (the default is 5 MB), you can specify your preferred maximum size using the following code: ```{r } #| eval: false #| echo: true #| warning: false #| error: true #| classes: styled-output filesize=100 ##MB options(shiny.maxRequestSize=filesize*1024^2) ``` # Activate the user interface To activate the graphical user interface, run: ```{r } #| eval: false #| echo: true #| warning: false #| error: true #| classes: styled-output TriplotGUI_shiny() ``` This will launch the TriplotGUI application on your local machine. Keep in mind that larger datasets may slow down the tool's performance, so it is recommended to perform some variable selection before using very large datasets.