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DESCRIPTION
NAMESPACE
README.md
symptomsLength.Rproj

README.md

Symptoms Length Analysis Tool

LeAFtool Logo

About this package

Web application made whith shiny in order to visualize and analyze the mesure of symptom intensity as quantitative variable in function of experimental factors.

Shiny server hosting the application online

Installation

Regular installation

Install SLAT

library(devtools)
install_github("aucomte/SLAT")

Running SLAT with GUI

  • To run the application SLAT
library(SLAT)
runSLAT()

Regular installation

  • Main Program: Please copy and paste the following command to R console.
  • Upgrading R and Rstudio to the latest version (R >= 3.5, Rstudio > 1.0.0) is strongly recommended.
# Dependecies that needs to be manually installed.
# You may need to paste the following code line by line
# and choose if previously installed packages should be updated (recommended).

# list of packages required

list.of.packages <- c("shiny","shinythemes","shinyBS","stringr","shinydashboard","shinyjs","shinyWidgets","DT","shinyhelper","colourpicker",
"shinyFeedback","readr","data.table","ggplot2","dplyr","lubridate","RColorBrewer","shinycssloaders","plotly","ggvis","gplots","ade4",
"factoextra","rmarkdown","knitr","heatmaply")

#checking missing packages from list
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]

# install missing ones
if(length(new.packages)) install.packages(new.packages, dependencies = TRUE)

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