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      Group an array using the grouping applied to another dataset.
     
grpBinFile( Array_Type axisArray, Array_Type fAxisArray, Array_Type
fGroupingCol, Array_Type fQualCol )
grpBinFile( Array_Type axisArray, Array_Type fAxisArray, Array_Type
fGroupingCol, Array_Type fQualCo, Array_Type tabStops )
Returns: ( Array_Type grouping, Array_Type quality ) 
       
	This function allows you to calculate the grouping information
	needed to group the input data (the axisArray array)
	to match the grouping of another dataset (the
	fAxisArray, fGroupingCol, and fQualCol arrays 
	which can be read from a file).
	Often you can apply the grouping information directly - i.e.
	call
	 grpGetGroupSum( axisArray, fGroupingCol )
	rather than grpBinFile() - unless
	the two datasets do not have the same set of axis values.
	An example of this is when different binning factors are
	used to create spectra, e.g.
	calling dmextract with
	 
	and
	 
	To apply the grouping calculated from one of these
	spectra to the other one requires the use of grpBinFile().
       
	This function provides the same functionality
	as the BIN_FILE option of dmgroup.
       
chips> pha1 = readbintab( "spec1.pi" )
chips> pha2 = readbintab( "spec2.pi" )
chips> ( grp, qual ) = grpBinFile( pha2.PI, pha1.PI, pha1.GROUPING,
pha1.QUALITY )
	  
	    In this example we read in the data from two spectra
	    which were binned on the PI channel.
	    The grpBinFile() routine is used to calculate the
	    grouping and quality arrays for spec2.pi that
	    match the grouping applied to spec1.pi.
	   
	    Note that readbintab() was used to read in both
	    files; readpha() should not be used since this automatically
	    applies the grouping information when reading in the
	    data, and the resulting data can not be used in
	    grpBinFile() since information has been lost.
	   
group
grpadaptive,
grpadaptivesnr,
grpbin,
grpbinfile,
grpbinwidth,
grpgetchanspergroup,
grpgetgroupsum,
grpgetgrpnum,
grpmaxslope,
grpminslope,
grpnumbins,
grpnumcounts,
grpsnr
modules
group
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