PairQA v2.0 PDF Print E-mail

 

Background information

PairQA is a software program created by Xstract Mining Consultants. It calculates the Average Coefficient of Variation (CVAVR (%)) and the Reduced Major Axis Regression (RMA), the purpose of which is to define an unbiased measurement of error for duplicate samples. The software is based on published work on the Average Coefficient of Variation (Stanley and Lawie, 2007), (Abzalov, 2008), and for the Reduced Major Axis Regression (Sinclair and Blackwell, 2002).

PairQA was created to provide fast, simple to use and reliable access to CoV and RMA calculations. This software is customised to read in duplicate sample data from a CSV file, and perform the analysis without further supervision or intervention. From the analysis, CoV and RMA values are shown, as well as a scatter chart showing the duplicates plotted against each other with the regression line to visually show the user how their data fits.

Download

PairQA requires the Microsoft .net4 environment. The installer includes a check for .net4, and will prompt you to download and install .net 4 if required.
Click here to download PairQA 2.0 for Windows XP/Vista/7 32 and 64 bit

Registration

If you would like to register with Xstract as a PairQA user, click here. Registration is optional, and will allow you to keep up to date with future updates and releases.

Comments/Suggestions/Feedback

If you would like to get in touch with Xstract regarding PairQA to report issues, ask questions or offer suggestions, please use our contact form by clicking here, or email us at This e-mail address is being protected from spambots. You need JavaScript enabled to view it

References

Abzalov M., 2008. Quality Control of Assay Data: A Review of Procedures for Measuring and Monitoring Precision and Accuracy. Exploration and Mining Geology, Vol. 17, Nos 3-4, p. 131-144. Canadian Institute of Mining, Metallurgy and Petroleum.

Sinclair A. J, Blackwell G. H., 2002. Applied Mineral Inventory Estimation. Cambridge, UK: Cambridge University Press.

Stanley C. R., Lawie, D., 2007. Average Relative Error in Geochemical Determinations: Clarification, Calculation and a Plea for Consistency. Exploration and Mining Geology, Vol. 16, Nos 3-4, p. 267-275. Canadian Institute of Mining, Metallurgy and Petroleum.

Resources

To better understand how PairQA works to produce a result, Xstract has made available two sample Excel spreadsheets that step through the calculations required to determine Average Coefficient of Variation (CVAVR (%)) and the Reduced Major Axis Regression (RMA). Follow the links below to download example spreadsheets.

Download an example Excel spreadsheet for calculating Average Coefficient of Variation (CVAVR (%))

Download an example Excel spreadsheet for Reduced Major Axis Regression (RMA)

 

 

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