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- PSPP - GNU Project - Free Software Foundation
GNU PSPP is a program for statistical analysis of sampled data It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions
- PSPP - GNU Project - Free Software Foundation
On Debian and Ubuntu, run apt-get install pspp On Fedora, run dnf install pspp For a PSPP Flatpak, visit PSPP on Flathub or run flatpak install flathub org gnu pspp If you don't already have Flatpak, go through the Flatpak setup instructions Windows: On Windows, download an installer for a stable version from the latest-release
- PSPP - GNU Project - Free Software Foundation
What is PSPP? PSPP is a program for statistical analysis of sampled data It is a free replacement for the proprietary program, SPSS One goal of the PSPP project is compatibility with the SPSS language It currently features:
- PSPP - GNU Project - Free Software Foundation
PSPP can generate high quality plots to help with visualisation of the distribution of data Among the type of plots which can be displayed are box-and-whisker plots, normal probability plots and histograms
- PSPP - Summary [Savannah]
I'm very pleased to announce the release of a new version of GNU PSPP PSPP is a program for statistical analysis of sampled data It is a free replacement for the proprietary program SPSS Changes from 2 0 0 to 2 0 1: Bug fixes Translation updates Please send PSPP bug reports to bug-gnu-pspp@gnu org PSPP 2 0 0 has been released
- PSPP Users’ Guide - GNU
This chapter describes pspp, pspp’s command-line driven text-based user interface The following chapter briefly describes PSPPIRE, the graphical user interface to pspp
- PSPP
The details of PSPP’s language are given later in this manual PSPPproduces tables and charts as output, which it can produce in several formats; currently, ASCII, PostScript, PDF, HTML, DocBook and TeX are supported The current version of PSPP, 2 0 1, is incomplete in PSPPis a work in progress
- Using PSPP (PSPP) - GNU
PSPP is a tool for the statistical analysis of sampled data You can use it to discover patterns in the data, to explain differences in one subset of data in terms of another subset and to find out whether certain beliefs about the data are justified
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