millironx/beefblup
1
0
Fork 0
mirror of https://github.com/MillironX/beefblup.git synced 2024-09-20 21:12:03 +00:00
Code Issues Releases Packages Activity
Scripts and spreadsheets for performing single-variate Best Linear Unbiased Predictor (BLUP) to find beef cattle breeding values #KeepEPDsReal
14 commits 3 branches 4 tags 440 KiB
Julia 100%
Find a file
Thomas A. Christensen II 711db276a1 Display "normal" definitions to user
2018-09-17 09:10:45 -06:00
Excel Import and sort data 2018-09-14 09:28:10 -06:00
MATLAB Display "normal" definitions to user 2018-09-17 09:10:45 -06:00
.gitattributes Added git meta files to avoid corruption 2018-09-07 09:20:01 -06:00
.gitignore Updated gitignore 2018-09-10 17:05:15 -06:00
LICENSE.md Terminate if there are more contemporary groups than animals 2018-09-14 21:40:50 -06:00
README.md Updated readme 2018-09-10 17:05:30 -06:00

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

  1. Choose a spreadsheet appropriate to the trait you want to analyse from the Excel folder, and save it to your hard drive
  2. Place your data into the structure described by the spreadsheet
  3. If you wish to add more contemporary group traits to your analysis, add them into or directly after the Purple section
  4. Download the entire MATLAB folder, and set it as your current MATLAB directory
  5. Run beefblup.m
  6. Select the spreadsheet file you just placed your data into
  7. Select a file that you would like to save your results to
  8. 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