Introduction
This online application consists of a number of tools, 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.
The application has been built using R and Shiny. It was developed by Paul Collett at Shimonoseki City University, Yamaguchi, Japan. For more information, or to reference the application, please refer to this publication.
Currently the application is set up to carry out:
- comparision of two means with a robust t test and bootstrapped estimation plot
- regression analysis
- correlations
- one-way ANOVA
- check word coverage in a text file
Read the instructions in each section for guidance on how to carry out the various tests, and for an outline of the various outputs.
- Carry out a robust t test and bootstrapped estimation plot
- Carry out a bootstrapped regression analysis
- Carry out correlations
- Carry out a robust one-way ANOVA
- Check word coverage of a text against a user-supplied word list