Support and Faq more info on R Squared statistic: Difference between pages

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==Software Support==
===Issue:===
If you are having problems working with any Eigenvector Research product, please use the following as guidelines to help find a solution.


1) '''Check our Frequently Asked Questions''' - Check our [http://software.eigenvector.com/faq/ On-Line FAQ Pages] for a possible solution. Many common problems can be solved using these pages.
Can you give me more information on the R-Squared statistic?


2) '''Automatic Problem Solving''' - If using PLS_Toolbox or other MATLAB-based products, try the command <tt>evridebug</tt> this will diagnose many common problems. (This option is not available with stand-alone products like Solo or Solo_Predictor).
===Possible Solutions:===


3) '''Contact Eigenvector's Help Desk''' - Contact the helpdesk through e-mail at: [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com] and include the following information:
R-Squared (R<sup>2</sup>) is an assessment of how well the model does the prediction (it is similar to RMSEC except that it doesn't show if there is a bias).  
:* For MATLAB-based products (PLS_Toolbox, MIA_Toolbox, etc)
::* Your '''username''' or '''serial number'''
::* The output of the functions:
:::ver
:::evridebug
::* Details on the problem you are having and how to reproduce it (if possible)
:* For Stand-alone products (Solo, Solo_Predictor, etc.)
::* Your '''username''' or '''serial number'''
::* For Solo users, all content from the menu: '''Help>About Solo...''' (If you are having trouble starting Solo, obviously this can not be accessed)
::* Details on the problem you are having and how to reproduce it (if possible)


'''Phone Support''' - '''PLEASE NOTE:''' Eigenvector Research ''does not offer phone support for our software products'' except for consulting clients and clients of our extended support program. For information regarding extended support, please contact Eigenvector Research at: [mailto:orders@eigenvector.com orders@eigenvector.com]
You can access the R<sup>2</sup> by right-clicking on a scores plot of predicted vs. measured. It is one of the items which show up in the information box ("Show on figure" puts it on the figure).  


==Orders/Quotes/Invoice Support==
Note: in other software, R<sup>2</sup> is for the MODELED data only. In PLS_Toolbox we calculate it for the DISPLAYED data. That means that if you show excluded data, or if you show predicted/test data with calibration data ("Show Cal with Test") the R<sup>2</sup> will be for what is shown and will be different from the calibration data. Turn off the "Show Cal with Test" checkbox on the Plot Controls window to view the R<sup>2</sup> for only the test data.
To receive help regarding an order                you have placed or want to place, or other information regarding                sales, contact our sales team at sales@eigenvector.com
 
R<sup>2</sup> is calculated as the square of the correlation coefficient between the X and Y axes plotted in the figure. If the only data shown is the estimation of the calibration Y data vs. the actual calibration Y data, this is nearly the same as the standard R<sup>2</sup> for a model as defined by, e.g. Martens and Naes.
 
 
'''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]'''
 
[[Category:FAQ]]

Latest revision as of 13:23, 2 January 2019

Issue:

Can you give me more information on the R-Squared statistic?

Possible Solutions:

R-Squared (R2) is an assessment of how well the model does the prediction (it is similar to RMSEC except that it doesn't show if there is a bias).

You can access the R2 by right-clicking on a scores plot of predicted vs. measured. It is one of the items which show up in the information box ("Show on figure" puts it on the figure).

Note: in other software, R2 is for the MODELED data only. In PLS_Toolbox we calculate it for the DISPLAYED data. That means that if you show excluded data, or if you show predicted/test data with calibration data ("Show Cal with Test") the R2 will be for what is shown and will be different from the calibration data. Turn off the "Show Cal with Test" checkbox on the Plot Controls window to view the R2 for only the test data.

R2 is calculated as the square of the correlation coefficient between the X and Y axes plotted in the figure. If the only data shown is the estimation of the calibration Y data vs. the actual calibration Y data, this is nearly the same as the standard R2 for a model as defined by, e.g. Martens and Naes.


Still having problems? Please contact our helpdesk at helpdesk@eigenvector.com