Data Analysis and visualization
Veusz is a GUI scientific plotting and graphing package. It is designed to produce publication-ready Postscript or PDF output. SVG, EMF and bitmap export formats are also supported. The program runs under Unix/Linux, Windows or Mac OS X, and binaries are provided. Data can be read from text, CSV or FITS files, and data can be manipulated or examined from within the application.
R is a free software 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 is a whole language with its working bundled application as specially the "de facto" standard for data analysis and data mining. Better suited for advanced users who want all the power in their hands.
RStudio™ is an integrated development environment (IDE) for R. RStudio combines an intuitive user interface with powerful coding tools to help you get the most out of R.
RStudio brings together everything you need to be productive with R in a single, customizable environment. Its intuitive interface and powerful coding tools help you get work done faster.
RStudio is available for all major platforms including Windows, Mac OS X, and Linux. It can even run alongside R on a server, enabling multiple users to access the RStudio IDE using a web browser.
Like R, RStudio is available under an open source license that guarantees the freedom to share and change the software, and to make sure it remains free software for all its users.
RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. RKWard tries to combine the power of the R-language with the ease of use of commercial statistical packages. Although it can run in numerous environments, it was designed for and integrates with the KDE desktop environment.
JASP is a free and open-source graphical program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form. JASP generally produces APA style results tables and plots to ease publication. It promotes open science by integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by several universities and research funds. Main Features:
- Offers both Frequentist (classical) analyses and Bayesian analyses
- Dynamic update of all results
- Spreadsheet layout and an intuitive drag-and-drop interface
- Progressive disclosure for increased understanding
- Annotated output for communicating your results
- Integrated with The Open Science Framework (OSF)
- Support for APA format (copy graphs and tables directly into Word)
- Supports many file formats: .sav, .txt, .csv, .ods, and .jasp
Analyses methods currently available:
- A/B Test (Beta)
- ANOVA
- ANCOVA
- AUDIT (module)
- Bain (module)
- Binomial Test
- Confirmatory Factor Analysis (CFA)
- Contingency Tables (incl. Chi-Squared Test)
- Correlation: Pearson, Spearman, Kendall
- Equivalence T-Tests: Independent, Paired, One-Sample
- Exploratory Factor Analysis (EFA)
- Linear Regression
- Logistic Regression
- Log-Linear Regression
- Machine Learning
- MANOVA
- Mediation Analysis
- Meta-Analysis
- Mixed Models
- Multinomial
- Principal Component Analysis (PCA)
- Repeated Measures ANOVA
- Reliability Analysis
- Structural Equation Modeling (SEM)
- Summary Stats
- T-Tests: Independent, Paired, One-Sample
- Visual Modeling: Linear, Mixed, Generalized Linear
jamovi is a new free and open "3rd generation" statistical spreadsheet. Designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS.
