https://github.com/drizopoulos/repeated_measurements
Shiny App for Repeated Measurements Course
https://github.com/drizopoulos/repeated_measurements
longitudinal-data repeated-measurements shiny-apps
Last synced: 8 months ago
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Shiny App for Repeated Measurements Course
- Host: GitHub
- URL: https://github.com/drizopoulos/repeated_measurements
- Owner: drizopoulos
- Created: 2015-09-20T13:38:20.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2024-01-31T09:54:03.000Z (over 2 years ago)
- Last Synced: 2025-05-06T03:39:00.685Z (about 1 year ago)
- Topics: longitudinal-data, repeated-measurements, shiny-apps
- Language: HTML
- Size: 51.1 MB
- Stars: 81
- Watchers: 10
- Forks: 24
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# shiny app for Repeated Measurements Course
This repository contains a [shiny](http://shiny.rstudio.com/) application that replicates
all analyses presented in the course
**Statistical Analysis of Repeated Measurements Data**, including also some additional
illustrations. The app requires [R](http://cran.r-project.org/)
(version >= 4.3.2) and the following packages:
* [nlme](http://cran.r-project.org/package=nlme) (version >= 3.1-164)
* [lme4](http://cran.r-project.org/package=lme4) (version >= 1.1-35)
* [geepack](http://cran.r-project.org/package=geepack) (version >= 1.3-9)
* [GLMMadaptive](http://cran.r-project.org/package=GLMMadaptive) (version >= 0.9-1)
* [MASS](http://cran.r-project.org/package=MASS) (version >= 7.3-60.0.1)
* [shiny](http://cran.r-project.org/package=shiny) (version >= 1.8.0)
* [lattice](http://cran.r-project.org/package=lattice) (version >= 0.22-5)
* [splines](http://cran.r-project.org/) (available within base R)
* [corrplot](http://cran.r-project.org/package=corrplot) (version >= 0.92)
These packages can be installed using the following function call:
```r
install.packages(c("shiny", "nlme", "lattice", "lme4", "GLMMadaptive", "MASS",
"geepack", "corrplot"), dependencies = TRUE)
```
and then the app can be directly invoked using the command:
```r
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:
```r
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](https://github.com/drizopoulos/Repeated_Measurements)
using the commands:
```r
con <- url("https://raw.github.com/drizopoulos/Repeated_Measurements/master/Data.RData")
load(con)
close(con)
```