dabestr

dabestr is a package for Data Analysis using Bootstrap-Coupled ESTimation.

Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one’s experiment/intervention, as opposed to a false dichotomy engendered by P values.

An estimation plot has two key features.

It presents all datapoints as a swarmplot, which orders each

point to display the underlying distribution.

It presents the effect size as a **bootstrap 95% confidence

interval on a separate but aligned axes**.

The dabestr package powers estimationstats.com, allowing everyone access to high-quality estimation plots.

Installation

r
Install it from CRAN
install.packages("dabestr")
Or the development version from GitHub:
install.packages("devtools")
devtools::install_github(repo = "ACCLAB/dabestr", ref = "dev")

Usage

r
library(dabestr)

r
data("nonproportionaldata")
dabestobj.meandiff <- load(   data = nonproportionaldata,   x = Group,   y = Measurement,   idx = c("Control 1", "Test 1") ) %>%   mean_diff()
dabestplot(dabestobj.mean_diff, TRUE)