The goal of clustersimulation is to provide a set of utilities
functions and a Shiny app to perform Monte Carlo simulations with a
focus on inferential errors (type 1 error) and statistical power. The
simulation can be performed either providing a dataset or manually
setting all required parameters.
You can install the development version of clustersimulation from GitHub with:
# install.packages("devtools")
devtools::install_github("psicostat/clustersimulation")Sometimes a restart of R/R Studio could be required to correctly load the package after the installation.
Once the package is installed the Shiny app (running locally) can be used using:
library(clustersimulation)
run_shiny()The R/ folder contains all the functions used in the Shiny that can be
used also within standard R script to implement more complex and
extensive simulations.
A demo version of the app can be accessed online at https://psicostat.shinyapps.io/clustersimulation-demo/