Central Limit Theorem 'shiny' Application

A 'shiny' application estimating the operating characteristics of the Student's t-test by Student (1908) , Welch's t-test by Welch (1947) , and Wilcoxon test by Wilcoxon (1945) in one-sample or two-sample cases, in settings defined by the user (conditional distribution, sample size per group, location parameter per group, nuisance parameter per group), using Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008) .


Installation

You may need to install Shiny package before installation shinyCLT.

install.packages("shiny")

Then proceed to installation of shinyCLT package from CRAN:

install.packages("shinyCLT")

or GitHub

devtools::install_github("shinyCLT/shinyCLT", build_vignettes = TRUE)

Then you could load the library and run the application.

library(shinyCLT)
CLT()

For more detailed information, see vignette("shinyCLT").

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("shinyCLT")

0.9.4 by Dominique-Laurent Couturier, 2 years ago


Browse source code at https://github.com/cran/shinyCLT


Authors: Dominique-Laurent Couturier [aut, cre] , Nikita Mozgunov [aut] , Thomas Jaki [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports testthat, purrr, shiny, gamlss, dplyr, plotly, future, shinycssloaders, waiter, shinythemes, shinyWidgets, cachem, knitr


See at CRAN