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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

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