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DIAdem statistics function/Histogram classification

Hello

I have DIAdem 9.0 and I was wondering if you or anyone else have any examples of how to create histograms within DIAdem statistics function/Histogram classification.

Kind regards,
Roy L. Costa
E & I Technician
Michigan Waste Energy, Inc.
5700 Russell
Detroit, Michigan 48211
Tel (313) 972-5700 X285
Tel (313) 972-4635
Fax (313) 871-2835
Email: RCosta@covantaenergy.com
Roy L. Costa
Email: roycosta@hotmail.com
Catalyst Test Engineer
General Motors Warren Tech Center (R & D)
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Hi Roy,

Making histograms in DIAdem is relatively easy. Once you have imported your data, follow these steps:

01. Go to DIAdem ANALYSIS
02. Choose STATISTICS FUNCTIONS
03. Select CLASSIFICATION (2nd icon from the left)
04. Select "Sample Count" for the Classification method (that is the actual histogram calculation)
05. Click on the CLASSES button and set the parameters. The most important thing here is the "Number of channels" which could also read "Numer of classes" or "Bins". You can set the other parameters as well, but the most important one is the "Number of channels".
06. Click OK and in the dialog, select the channel (column) you wish to analyze.
07. Select how you wish to see the result data in the bins:
absolute = number of actual samples
per bin
relative = percentage of the number of samples per bin of the total - sums up to 100
08. Click OK to execute the calculation
09. Go to DIAdem REPORT
10. Choose a 2D layout
11. Drag and drop "Class mean" as X and "SampleCount" as the Y channel into the 2D axis system
12. Double click inside the 2D layout
13. For the "Display Mode" choose "Bars" and click OK

You should now have a 2D bar graph representing the histogram of the channel you have selected to do the classification for.

Please let me know if you have any further questions.

Otmar
Otmar D. Foehner
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Hi Otmar,

 

could you please explain to me what the "ClassMean" is/indicates/stands for?

 

Thanks,

Tobias

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Hi Roy,

 

The classification/histogram calculation takes all the data values in one channel and counts how many of those values are in a set of value range "bins".  So if you had a channel with values from 0 to 100, you might set up bins like the following:

 

00 <= value < 10

10 <= value < 20

20 <= value < 30

30 <= value < 40

40 <= value < 50

50 <= value < 60

60 <= value < 70

70 <= value < 80

80 <= value < 90

90 <= value <= 100

 

Each of these "bins" can also be called a "class" in the classification/histogram analysis.  The "Class Mean" channel contains the average value of the ranges in each "bin"/class (5, 15, 25, 35, 45, 55, 65, 75, 85, 95)

 

Brad Turpin

Principal Technical Support Engineer

NI

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