AllInOne <img src="inst/app/www/LogoReadme.png" width="100px" align="right"/>

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The AllInOne - Pre-Processing is an open-Source, R-Shiny user interface package designed to provide a broad range of pre-processing analysis features for phenotypic datasets. This app uses different R packages, such as mice, VIM, lme4, bestNormalize, etc., to enable plant scientists to use all the mentioned packages simultaneously in an interactive environment. Furthermore, it allows plant scientists to edit, organize, subset, and sort datasets in a live mode.

If you enjoy working with AllInOne - Pre-Processing, give us a star on GitHub and Cite the package, please :)

Here is the AllInOne - Pre-Processing research paper.

Demo

Just click HERE.

Installation

Required: R version 4.0.0 or later Required: Rstudio Required: golem R package version 0.3.4 or later: Required: shinydashboard R package version 0.7.2 or later Required: shinydisconnect R package version 0.1.0 or later Required: shinyjs R package version 2.1.0 or later Required: SpATS R package version 1.0-16 or later Required: remotes R package

install.packages(c("remotes","golem","shinydashboard","shinydisconnect","shinyjs"))

Install using source

You can install the AllInOne - Pre-Processing using its source on your system like so:

remotes::install_local('path/to/AllInOne-Pre-Processing/', force = TRUE)

Install from GitHub

You can install the AllInOne - Pre-Processing from GitHub like so:

remotes::install_github('MohsenYN/AllInOne')

How to run

Run without installing

You can run the application by just running app.R without installing the package.

Run after installation

AllInOne::run_app()

What do you think about AllInOne?

Let us know :)

Mohsen Yoosefzadeh Najafabadi

Soybean Breeding & Computational Biology Department of Plant Agriculture University of Guelph

ENJOY!

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Install / Use

README