Difference between revisions of "Testwork: Aggregating samples"
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The samples that appear in the "results" table can not be directly manipulated. The list is generated automatically by combining individual test results by matching the sample name and program fields. If a default value for a test result has been entered for a [[Program]], then all samples of that program are deemed to have that default value for the test. |
The samples that appear in the "results" table can not be directly manipulated. The list is generated automatically by combining individual test results by matching the sample name and program fields. If a default value for a test result has been entered for a [[Program]], then all samples of that program are deemed to have that default value for the test. |
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| − | ===Requirements for matching results=== |
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| − | In order for a circuit model to correctly associate test results (to realize that "these are actually different tests on the same sample"), the following criteria must be satisfied: |
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| − | * The test results must be part of the same project |
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| − | * The `Sample` fields must be identical ("Composite 1" is not the same as "Composite No.1" or "composite 1") |
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| − | * The `[[Program]]` fields must be identical ("SAG feed" of Program "2010 survey" is not the same sample as "SAG feed" of program "2011 survey"). |
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===Example: Aggregation of data=== |
===Example: Aggregation of data=== |
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Revision as of 13:36, 23 April 2014
Model Results Table
The list of samples that run through a circuit model is shown in any "model results" table. This is the list of samples that contain all of the necessary test results required to satisfy a particular model. For example, the "results" table for a Bond/Barratt model will show only those samples that have a crushing work index (WiC), Bond rod mill work index (WiRM) and a Bond ball mill work index (WiBM). Any sample that lacks any of these three values can not be run in the model and will not appear in the listing.
The samples that appear in the "results" table can not be directly manipulated. The list is generated automatically by combining individual test results by matching the sample name and program fields. If a default value for a test result has been entered for a Program, then all samples of that program are deemed to have that default value for the test.
Example: Aggregation of data
The example data set from Los Bronces (from published papers by Oestreicher & Spollen, SAG 2006 and Becerra & Amelunxen, Procemin 2012) is summarized below. It contains samples that have been subjected to a variety of tests including the Bond work index series and the drop weight tests.
| Sample | WiBM | WiRM | WiC | A×b |
| Los Bronces A | 13.3 | 9.4 | 8.97 | 55.4 |
| Los Bronces B | 14.9 | 11.2 | 8.83 | 44.4 |
| Los Bronces C | 14.5 | 13.1 | 9.46 | 33 |
| LB 25th percentile | 15.6 | 14.7 | 35.7 | |
| LB 75th percentile | 17.4 | 18.5 | 27.1 | |
| LB average | 16.5 | 16.7 | 32.3 | |
| LB maximum | 22 | 24.6 | 22.8 | |
| LB median | 16.5 | 16.7 | 30 | |
| LB minimum | 12.2 | 11.9 | 50.9 |
A Bond/Barratt model would generate a query table that returns only samples Los Bronces A, Los Bronces B and Los Bronces C. The other samples are missing one of the required test results (the crushing work index, WiC), so those samples can not be run in the standard Bond/Barratt model contained in a 'bond' folder (however, they can be run if the Program settings have a default value for WiC which relaxes the requirement to have a crushing work index value).
