"KNIME, pronounced [naim], is a modular data exploration platform that enables the user to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models.
KNIME was developed (and will continue to be expanded) by the Chair for Bioinformatics and Information Mining at the University of Konstanz, Germany. The group headed by Michael Berthold is also using KNIME for teaching and research at the University. Quite a number of new data analysis methods developed at the chair are integrated in KNIME. Let us know if you are looking for something in particular, not all of those modules are part of the standard KNIME release just yet...
KNIME base version already incorporates over 100 processing nodes for data I/O, preprocessing and cleansing, modelling, analysis and data mining as well as various interactive views, such as scatter plots, parallel coordinates and others. It integrates all analysis modules of the well known Weka data mining environment and additional plugins allow R-scripts to be run, offering access to a vast library of statistical routines.
KNIME is based on the Eclipse platform and, through its modular API, easily extensible. When desired, custom nodes and types can be implemented in KNIME within hours thus extending KNIME to comprehend and provide first-tier support for highly domain-specific data. This modularity and extensibility permits KNIME to be employed in commercial production environments as well as teaching and research prototyping settings. If you would like to read a more detailed description of the software, please download the attached White Paper.
KNIME is being released under a dual licensing scheme. A non-profit open source license allows KNIME to be downloaded, distributed, and used freely so long as the software or extensions built onto it are not distributed for commercial gain. See license arrangements for complete details." ·
JMulTi is an interactive software designed for univariate and multivariate time series analysis. It has a Java graphical user interface that uses an external engine for statistical computations.
Implemented features include VAR/VEC modelling but also methods that are not yet in widespread use. A full account of implemented methods is available in the features section. ·
Free Econometrics Software for Easy Regression Analysis
Herman J. Bierens
Pennsylvania State University
Department of Economics
University Park, PA 16802, USA
EasyReg (Easy Regression) conducts various econometric estimation and testing tasks on all 32bit Windows platforms (95 through Vista), simply by clicking the mouse.
EasyReg is designed for use in empirical research (including my own), and for teaching econometrics. In the latter case the user can choose his or her own econometrics level.
EasyReg is called International because it accepts dots and/or commas as decimal delimiters, regardless of the local number setting of Windows. Moreover, EasyReg works under non-English versions of Windows as well without the need to adjust the language setting of Windows, as long as the language involved uses a roman alphabet, for example German, Dutch, Spanish, Portuguese, and French Windows versions. However, if your Windows uses a language with a non-roman alphabet such as Japanese and Chinese, and the EasyReg menus do not open automatically when you move the mouse pointer over them, the problem is likely due to the language setting for non-Unicode programs (EasyReg is such a program). If so, open Control Panel, select "Regional and Language Options", and on the "Advanced" tab, under "Language for non-Unicode programs", select English. Click here for detailed instructions. This will fix the problem without affecting the language of Windows itself. ·
Extrema is a powerful visualization and data analysis tool that enables researchers to quickly distill their large, complex data sets into meaningful information. Its flexibility, sophistication, and power allow you to easily develop your own commands and create highly customized graphs. ·