Ultimate WIki Search 1.0

Plainstat provides statistical data analysis modules like descriptive statistic, reliability item analysis, linear regression, multivariate data analysis and nonparametric statistic in an easy-to-use package.

Simple Workspace
Plainstat use document based architecture with easy to use navigation.

Statistic Definition and Navigator
Statistic definition is a collection of statistical parameter: title, variable selections, options, missing value treatment, etc.
These parameters are saved as part of a document.
Each definition has output list as a result of calculation.
You can edit, delete, duplicate, and recalculate statistic definition.
You use navigator to manage data and all statistic definitions.

Data Editor
Edit data in simple worksheet.
Use categories to represent value label.
Cut, copy, paste data to clipboard.

Output List
Manage all calculation results in simple list.
View each result in worksheet table.

Data & Variable Inspector
Configure data and variable properties with data inspector.
Use data inspector to change title, subtitle and row labels of data.
Use variable inspector to edit missing value, cell format, and value labels of individual variable.

Statistical Analysis
Simple descriptive analysis.
Mean comparisons.
Linear Regression.
Multivariate.
Nonparametric.

Technical Specs
Maximum number of cases: 100.000 rows
Maximum number of variables: 500 columns
Maximum categories: limited by available memory
Maximum number of statdef: limited by available memory
Plainstat is written entirely in Objective-C with Cocoa framework
Plainstat is a universal binary that works natively with Intel and PowerPC-based Macs