PSPP is a statistical analysis application designed as an alternative to IBM SPSS Statistics. It provides tools for examining datasets, testing hypotheses and producing statistical reports.
The application offers both a graphical interface and a command-line environment. Users can manage data through spreadsheet-style views or perform analyses using a command language similar to that of SPSS.
PSPP is suitable for statistical research, education, survey analysis and other work involving quantitative data. It supports large datasets without imposing arbitrary limits on the number of variables or cases.
This is free and open source software.
Key Features
- Graphical interface with Data View and Variable View for examining and editing datasets.
- Command-line interface for performing scripted statistical analyses.
- Read and write data and syntax files compatible with supported SPSS formats.
- Import data from CSV, text files, spreadsheets and supported database sources.
- Perform descriptive statistics, including frequencies, means, standard deviations and distributions.
- Carry out one-sample, independent-samples and paired-samples t-tests.
- Perform analysis of variance (ANOVA) and related statistical tests.
- Fit linear and logistic regression models.
- Analyse categorical data using contingency tables and measures of association.
- Conduct non-parametric statistical tests.
- Perform factor analysis, cluster analysis and reliability analysis.
- Transform variables using arithmetic expressions, conditional operations and recoding functions.
- Sort, select, filter, weight and aggregate observations.
- Open and manipulate multiple datasets during a session.
- Merge, join and concatenate datasets using supported commands.
- Produce statistical tables and charts for visualising analytical results.
- Export output to PDF, HTML, OpenDocument, PostScript and text formats.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: www.gnu.org/software/pspp
Support:
Developer: Ben Pfaff and other contributors
License: GNU General Public License v3.0
PSPP is written in C. Learn C with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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very nice tutorial!