Skip to content
Shiny App for Repeated Measurements Course
HTML R
Branch: master
Clone or download
Latest commit bec5d9d Dec 16, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Advanced_Topics updates Jul 7, 2019
html updates Jul 4, 2019
md updates May 10, 2019
practicals updates Apr 4, 2019
www
.gitattributes 🍭 Added .gitattributes Sep 20, 2015
.gitignore
Data.RData shiny app Sep 20, 2015
README.md updates Dec 16, 2019
global.R GLMMadaptive Aug 22, 2018
server.R updates Jul 4, 2019
ui.R Updates May 9, 2019

README.md

shiny app for Repeated Measurements Course

This repository contains a shiny application that replicates all analyses presented in the course Statistical Analysis of Repeated Measurements Data, including also some additional illustrations. The app requires R (version >= 3.6.1) and the following packages:

These packages can be installed using the following function call:

install.packages(c("shiny", "nlme", "lattice", "lme4", "GLMMadaptive", "MASS",
                   "geepack", "corrplot"), dependencies = TRUE)

and then the app can be directly invoked using the command:

shiny::runGitHub("Repeated_Measurements", "drizopoulos")

The app will automatically load these packages and also load the data sets used in the course. If you would like to interactively run the code in your own R session, then you will need first to load the packages using the commands:

library("shiny")
library("lattice")
library("nlme")
library("lme4")
library("geepack")
library("GLMMadaptive")
library("MASS")
library("splines")
library("corrplot")

and also load the data sets from GitHub using the commands:

con <- url("https://raw.github.com/drizopoulos/Repeated_Measurements/master/Data.RData")
load(con)
close(con)
You can’t perform that action at this time.