R/biostats_apps.R

In biostats-r/biostats.tutorials: Apps and tutorials for statistics and data handling in R

#' Biostats apps
#' @name biostats_apps
#' @description
#' Shiny apps developed by BioStats
#' @details
#' ## Distributions
#' - Coming here soon!
#' 
#' ## Tests
#' - `t_test_app()` shows how the t-distribution is used to test the significance of a test result
#' - `f_test_app()` shows how the F-distribution is used to test the significance of a test result
#' 
#' ## Linear models
#' - `influence_leverage_app()` explores the impact of outliers, influential, and leverage points on diagnostic plots for linear models. Click the graph to move the red point and refit the model.
#' 
#' ## Power tests and publication biases
#' - `publication_bias_app()` explores the impact of publication bias on the apparent strength of the evidence in the published literature.
#' - `power_lm_app()` runs a power test for a linear model with either a continuous or categorical predictor.
#' 
#' 
#' 
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