::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/

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

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