Programa estadistico r para mac

R is a language and environment for statistical computing and graphics.


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  • Comprehensive Analysis and Powerful Statistics, Simplified?

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. Dreaming of an ad-free web?

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Browse with Brave. Learn more. R is an attempt to provide a wide variety of statistical analysing - namely linear and nonlinear modelling View full description. CONS Doesn't offer many instructions for beginners. Softonic review If you're a biomedical student or serious scientists then you'll have to perform some pretty complex linear and non linear calculations. Contains 32 and 64 bit versions of arlsumstat. Contains bit Linux version of arlecore, the console version of arlequin, as well as a bash script to automatically analyse all arlequin project files present in a given directory, plus example files.

Contains bit Linux version of arlsumstat to compute summary statistics from arlequin projects, a summary statistics definition file, and a bash script to launch it in a Linux environment. Contains bit Mac OS X version of arlecore, the console version of arlequin, as well as a bash script to automatically analyse all arlequin project files present in a given directory.

Contains bit Mac OS X version of arlsumstat to compute summary statistics from arlequin projects, a summary statistics definition file, and a bash script to launch it in a Linux environment. Contains the latest Arlequin manual ver 3. Contains a readme file describing the use of arlecore, the console version of Arlequin.

Contains a readme file describing the use of arlsumstat, a specific console version of Arlequin producing summary statistics into a single output file. Priority support. Bug fix warranty and free major upgrades during your maintenance period.

Arlequin ver 3.5.2.2

Access to Windows version. Basic Statistics Detailed descriptive statistics. One-sample t-test. Two-sample t-test also includes Pagurova Criterion, G-Criterion.

Statistics the Mac Way | AnalystSoft | StatPlus:mac | StatPlus | BioStat | StatFi

Two-sample t-test for summarized data. Fisher F-test. One-sample and two-sample z-tests. Correlation coefficients Pearson, Fechner and covariation. Normality tests includes D'Agostino's tests.

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Cross-tabulation and Chi-square. Frequency tables analysis for discrete and continuous variables. Three-way analysis of variance. Data Classification Discriminant function analysis. Rank and percentile.


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Chi-square test. Cochran's Q Test.

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