Mncn: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
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===Synopsis=== | ===Synopsis=== | ||
:[mcx,mx] = mncn(x,''options'') | :[mcx,mx,msg] = mncn(x,''options'') | ||
===Description=== | ===Description=== | ||
MNCN mean centers a matrix x and returns a matrix mcx with mean zero columns and a vector of means mx used to center the data. | MNCN mean centers a matrix x and returns a matrix mcx with mean zero columns and a vector of means mx used to center the data. Optional input options is discussed below. | ||
The output <tt>msg</tt> returns any warning messages. | |||
===Options === | |||
''options'' = a structure array with the following fields. | |||
* '''display''': [ {'off'} | 'on'] Governs screen display. | |||
* '''matrix_threshold''': [.15] Error threshold based on fraction of missing data in whole matrix. | |||
* '''column_threshold''': [.25] Error threshold based on fraction of missing data in single column. | |||
===See Also=== | ===See Also=== | ||
[[auto]], [[rescale]], [[scale]] | [[auto]], [[rescale]], [[scale]] | ||
Revision as of 13:19, 8 January 2009
Purpose
Mean center data matrices.
Synopsis
- [mcx,mx,msg] = mncn(x,options)
Description
MNCN mean centers a matrix x and returns a matrix mcx with mean zero columns and a vector of means mx used to center the data. Optional input options is discussed below.
The output msg returns any warning messages.
Options
options = a structure array with the following fields.
- display: [ {'off'} | 'on'] Governs screen display.
- matrix_threshold: [.15] Error threshold based on fraction of missing data in whole matrix.
- column_threshold: [.25] Error threshold based on fraction of missing data in single column.