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Scripts and spreadsheets for performing single-variate Best Linear Unbiased Predictor (BLUP) to find beef cattle breeding values #KeepEPDsReal
beef-cattleblupexpected-breeding-valuesexpected-progeny-differenceskeepepdsrealpredicted-transmitting-abilities
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README.md |
beefblup
MATLAB and Python scripts and Excel spreadsheets that can be used in conjunction to find breeding values for beef cattle.
How to Use
Notice: this project is currently in development, these instuctions are to guide development efforts toward an intended operation procedure
- Choose a spreadsheet appropriate to the trait you want to analyse from the
Excel
folder, and save it to your hard drive - Place your data into the structure described by the spreadsheet
- If you wish to add more contemporary group traits to your analysis, add them into or directly after the Purple section
- Download the entire
MATLAB
folder, and set it as your current MATLAB directory - Run
beefblup.m
- Select the spreadsheet file you just placed your data into
- Select a file that you would like to save your results to
- Breeding values and contemporary group adjustments will be outputted to the file you selected
Contributing
I will not accept any contributions while writing the initial MATLAB script. Once that is finished, I will gladly take input on the following:
- Converting MATLAB scripts to Python
- Optimizing code sections
- Adding spreadsheets for additional traits
- Bug reports, usability issues, etc.
If you are writing code, please keep the code clean by:
- Indenting using the native editor's formating
- Naming variables in full word English using camelCase, unless the matrix name is generally agreed upon in papers (i.e. A is the additive relationship matrix)
- For MATLAB, functions go in a separate file
- Comments go before a code block: no inline comments
License
Distributed under the 3-Clause BSD License