Minmax and Faq how are error bars calculated regression model: Difference between pages

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===Purpose===
===Issue:===


Min-Max scaling
How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?


===Synopsis===
===Possible Solutions:===


:[xcorr,mins,maxs] = minmax(x,''options'');      %perform min-max scaling
The error bars reported for inverse least squares models (and from the [[Ils_esterror]] function) represent the estimation error for each prediction, see:


===Description===
Faber, N.M. and Bro, R., Chemomem. and Intell. Syst., 61, 133-149 (2002)


Scales rows (or columns) of the input <tt>x</tt> to be have a minima of 0 and a maxima of 1.
They can be read as a standard deviation of the estimate. However because the underlying distribution is not clearly known (and is a matter of research), a confidence limit is not reported.  


====Inputs====


* '''x''' = ''M'' by ''N'' matrix of data to be scaled (class "double" or "dataset").
'''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]'''


====Optional Inputs====
[[Category:FAQ]]
 
* '''options''' = Options structure. See details below.
 
''options'' =  a structure array with the following fields:
 
* '''mode''': [ 1 ] dimension of data on which to calculate the minima and maxima for scaling. 1 = over rows (to scale variables); 2 = over columns (to scale samples). Default is 1.
 
====Outputs====
 
* '''xcorr''' = the scaled data (xcorr will be the same class as x)
 
* '''mins''' = vector of minima for each row (or column)
 
* '''maxs''' = vector of maxima for each row (or column)
 
 
===See Also===
 
[[auto]], [[normaliz]], [[preprocess]], [[snv]]

Revision as of 12:07, 5 December 2018

Issue:

How are the error bars calculated for a regression model and can they be related to a confidence limit (confidence in the prediction)?

Possible Solutions:

The error bars reported for inverse least squares models (and from the Ils_esterror function) represent the estimation error for each prediction, see:

Faber, N.M. and Bro, R., Chemomem. and Intell. Syst., 61, 133-149 (2002)

They can be read as a standard deviation of the estimate. However because the underlying distribution is not clearly known (and is a matter of research), a confidence limit is not reported.


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

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