Estatística

PSPP

PSPP is a program for statistical analysis of sampled data. It interprets commands in the SPSS language and produces tabular output in ASCII, HTML, or PostScript format.

The R Project for Statistical Computing

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.

SalStat Statistics

SalStat is an application design for the analysis of scientific data: the kind of data commonly seen in psychology, for example. It can perform a range of tests already, from descriptive statistics through to analysis of variance tests and their nonparametric equivilents.

MacAnova A Program for Statistical Analysis and Matrix Algebra

MacAnova is a free, noncommercial, interactive statistical analysis program for Windows 95/98/NT, Windows 3.1 with Win32s, Macintosh and Unix written by Gary W. Oehlert and Christopher Bingham, both of the School of Statistics, University of Minnesota. In spite of its name, MacAnova is not just for Macintosh computers and not just for doing Analysis of Variance. MacAnova has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni- and multi-variate exploratory statistics.

ViSta, the Visual Statistics System

ViSta, the Visual Statistics System, features statistical visualizations that are highly dynamic and very interactive. Dynamic, High-Interaction, Multi-View Graphics: ViSta constructs very-high-interaction, dynamic graphics that show you multiple views of your data simultaneously. The graphics are designed to augment your visual intuition so that you can better understand your data. See What Your Data Have To Say: ViSta's visually intuitive and computationally intensive approach to statistical data analysis is designed to clarify the meaning of data so that you can see what your data have to say.