I'm looking for a statistical tool (similar tool as SPSS, Minitab and SAS) that is open source. Any recommendation?
In this context, I prefer drop and click. Not coding as R please.
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I use Orange for explaining simple stats to my sales team.
It is a simple GUI drag and drop tool, which helps you do tasks ranging from simple statistics to complex machine learning.
I prefer it mainly due to the polished GUI, which makes the statistical analyses easy and interesting for non-stats folks.
It also comes in the form of a Python library, just in case you like the tool and want to use it for complex analytics too.
Like @fxm said, there is also PSPP which is another powerful application that would meet your needs.
PSPP is a free software application for analysis of sampled data. It has a graphical user interface and conventional command line interface. It is written in C, uses GNU Scientific Library for its mathematical routines, and plotutils for generating graphs. It is intended as a free replacement of the proprietary program, SPSS.
There are quite a few answers to this questions but I'll limit my response to three,
First I would check out RKWard. It uses the backend of R but has a very nice and easy to use interface. It is available for Windows, Linux, and Mac OS X.
RKWard is an easy to use and easily extensible IDE/GUI for R. It aims to combine the power of the R-language with the ease of use of commercial statistics tools.
RKWard's features include:
- Spreadsheet-like data editor
- Syntax highlighting, code folding and code completion
- Data import (e.g. SPSS, Stata and CSV)
- Plot preview and browsable history
- R package management
- Workspace browser
- GUI dialogs for all kinds of statistics and plots
Its features can be extended by plugins, and it's all free software.
Last but not least, I would check out SOFA, short for Statistics Open For All. This application's main focus is for ease of use. It also runs on Windows, Linux, and OS X.
SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, SQLite, MS Access, and MS SQL Server. Data can also be imported from CSV or MS Excel files. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearsons chi square, Kruskal Wallis H, one-way ANOVA, Spearmans R, and Pearsons R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, and sum.