![]() Written in Texinfo format, is the primary reference for using PSPP.īesides the Texinfo format a few other formats are available like HTML and PDF. Should also work for all operating systems which are POSIX compliant.įor others, you will have to refer to your OS documentation. Or export LANG=pt_BR for Brazillian Portuguese. For example, on GNU or on GNU/Linux you could use the commandĮxport LANG=pt_PT (for Portuguese spoken in Portugal) How you change the environment's locale depends on the operating Portuguese, then that is what PSPP will display. Operating system (or the currently logged in user) is set to PSPP respects the locale of the environment. How do I configure the PSPP interface language? You need to become familiar with theĭocumentation to unleash its full potential. PSPP is very versatile and there are lots of different types of Using your favourite editor, write a file (name itĭATA LIST LIST /name (a25) quantity (f8).Install it, and are prepared to accept that it may contain bugs, then compile from the Git However, if really want the very latest version, and are willing to put in extra effort to This is the canonical method used for most GNU software. Download a tarball and follow the instructions in the.Many operating systems come with PSPP already packaged.īut might not get you the most up to date version.Īn incomplete list of packages for various operating systems.Reliability analysis, factor analysis, non parametric tests and other analyses. Procedures provide the ability to perform t-tests, anova, linear regression, PSPP provides many transformations and utilities. Portability: PSPP can be built on a very wide range of platforms. ![]() A comprehensive selection of data preprocessing, analysis and visualisation commands.A command line interface to allow seasoned users to rapidly perform analysis.An easy to use graphical user interface.One goal of the PSPP project is compatibility with the SPSS ![]() Is a free replacement for the proprietary program, SPSS. PSPP is a program for statistical analysis of sampled data.
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