This site links to a number of applications for data analysis set up by the author, predominantly focused on basic quantitative data analysis with an emphasis on bootstrapping, graphical representation of data, and reporting of effect sizes and confidence intervals. The aim is to offer some tools that can be used to analyse data without forcing a reliance on p values as an indicator of differences between the samples being tested.

Everything has been built using R and Shiny. The applications were developed by Paul Collett at Shimonoseki City University, Yamaguchi, Japan. For background, please refer to this publication.

Currently available are:

• comparison of two means with a robust t test and bootstrapped estimation plot

• regression analysis

• one-way ANOVA

• check word coverage in a text file

New features and functions will be added as needed.