::Free Statistics and Forecasting Software::

v1.2.1

 

:: Recursive Partitioning (Regression Trees) - Free Statistics Software (Calculator) ::

All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.

This free online software (calculator) computes recursive partitioning analysis (regression trees) as discussed by Everitt Brian S. and Torsten Hothorn (2009), A Handbook of Statistical Analyses Using R, 2nd ed., CRC Press, Francis & Taylor Group. This software allows you to model continuous and categorical variables.

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!

Send output to:
Data X (click to load default data)
Names of X columns:
Endogenous Variable (Column Number) 
Categorization 
Number of categories (only if categorization<>none) 
Cross-Validation? (only if categorization<>none) 
Chart options
Width:
Height:



Source code of R module
Top | Output | Charts | References



Cite this software as:
Wessa P. (2016), Recursive Partitioning (Regression Trees) (v1.0.5) in Free Statistics Software (v1.2.1), Office for Research Development and Education, URL http://www.wessa.net/rwasp_regression_trees.wasp/
The R code is based on :
Everitt Brian S. and Torsten Hothorn (2009), A Handbook of Statistical Analyses Using R, 2nd ed., CRC Press, Francis & Taylor Group
Top | Output | Charts | References

To cite Wessa.net in publications use:
Wessa, P. (2024), Free Statistics Software, Office for Research Development and Education,
version 1.2.1, URL https://www.wessa.net/

© All rights reserved. Academic license for non-commercial use only.
The free use of the scientific content, services, and applications in this website is granted for non commercial use only. In any case, the source (url) should always be clearly displayed. Under no circumstances are you allowed to reproduce, copy or redistribute the design, layout, or any content of this website (for commercial use) including any materials contained herein without the express written permission.

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. We make no warranties or representations as to the accuracy or completeness of such information (or software), and it assumes no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Software Version : 1.2.1
Algorithms & Software : Patrick Wessa, PhD
Server : supernova.wessa.net

About | Comments, Feedback & Errors | Privacy Policy | Statistics Resources | Wessa.net Home

 © Wessa.Net 2002-2024