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A User-friendly and Powerful R Analysis of Large-scale Datasets

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WolStat: a new statistics package for the behavioral and social sciences.

Allen H Wolach¹, Maureen A McHale

¹Illinois Institute of Technology, Chicago, Illinois 60616, USA. wolach@iit.edu

Behavior Research Methods

|April 17, 2008

Summary

WolStat is a unique statistics package that uses a text editor for data entry and offers extensive analysis options. It supports advanced ANOVA models and nonparametric statistics, making it a versatile tool for researchers.

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Area of Science:

Statistics
Computational Statistics

Background:

Traditional statistics packages often rely on data grids for input.
Limited options for advanced ANOVA and nonparametric tests are common in many software packages.

Purpose of the Study:

To introduce WolStat, a novel statistics package with distinct features.
To highlight WolStat's capabilities in data entry, ANOVA, and nonparametric analysis.

Main Methods:

Data input via a text editor, contrasting with typical data grids.
Comprehensive analysis of main effects and multiple comparisons for ANOVAs (independent groups, split plot, randomized block factorial) up to five factors.
Implementation of a wide range of nonparametric statistics.

Main Results:

WolStat facilitates the generation of Latin squares and random numbers (uniform or normal distribution).
It offers a tutorial and guidance for selecting orthogonal comparisons.
The package supports general and specific models for fixed, mixed, and random ANOVAs with one to five factors.

Conclusions:

WolStat provides a flexible and powerful alternative to conventional statistics software.
Its text-based data entry and extensive analytical functions cater to complex statistical needs.