https://github.com/mightymetrika/scdtb
Single Case Design Toolbox
https://github.com/mightymetrika/scdtb
data math r science statistics
Last synced: 6 months ago
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Single Case Design Toolbox
- Host: GitHub
- URL: https://github.com/mightymetrika/scdtb
- Owner: mightymetrika
- License: other
- Created: 2024-02-26T15:22:58.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-09-17T15:14:24.000Z (almost 2 years ago)
- Last Synced: 2024-09-17T19:16:17.633Z (almost 2 years ago)
- Topics: data, math, r, science, statistics
- Language: R
- Homepage:
- Size: 1.83 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# scdtb
The goal of 'scdtb' is to provide tools for the analysis of single case design data.
## Installation
You can install the released version of 'scdtb' from [CRAN](https://CRAN.R-project.org):
```{r eval=FALSE}
install.packages("scdtb")
```
To install the development version of 'scdtb' from GitHub, use the [devtools](https://devtools.r-lib.org/) package:
```{r, eval=FALSE}
# install.packages("devtools")
devtools::install_github("mightymetrika/scdtb")
```
## Analyze Your Data
Use the scdtb() function to launch a 'shiny' application which implements many of the tools in the 'scdtb' package.
The application has the following functionalities:
* Upload a CSV file to be used as the dataset for modeling.
* View the variables available in the uploaded dataset.
* Enter the roles played by the variables in the dataset.
* Create a raw plot of the data.
* Run a mixed effect model.
* Run a crossed lag correlation analysis.
* Run a non-overlap of all pairs computation.
* Run a randomization test.
```{r, eval=FALSE}
library(scdtb)
# Launch application
scdtb()
```