Dear R Users, I have always used ASReml, MTDFREML, SAS, etc. to estimate genetic correlation (Rg) between two continuous quantitative traits (also continuous and binary trait) but never used R to estimate Rg. However, I use R for many of my other statistical analysis needs; the R package is a great tool that has advanced to a level that now we can estimate whole genome-enabled breeding values in genomic selection research. So, with the aim of moving out of those packages (listed above) which are either expensive or have little support, I would like to know if we can estimate Rg between two binary traits (disease status: alive vs. dead) with the R package.
My data: we have 100 full-sib (FS) families, and two random samples (each with n= 200 FS fish) from each FS family were evaluated for disease resistance to two different bacterial diseases, separately. Both traits are not recorded in the same individual; both traits are recorded in different full-sibs from a FS family. So using this family relationship (full-sibs), I would like to estimate the Rg between these two disease resistance traits; of course I would like to estimate it with R package. I would like to have directions on which R package to use if any, or combination of R functions needed to use to calculate the Rg (between two binary traits; disease survival traits), an R script ready to use would also be great. Thank you very much in advance for your help. Roger Roger L. Vallejo, Ph.D. U.S. Department of Agriculture, ARS, NCCCWA Voice: (304) 724-8340 Ext. 2141 Email: roger.vall...@ars.usda.gov<mailto:roger.vall...@ars.usda.gov> http://www.ars.usda.gov/pandp/people/people.htm?personid=37662 This electronic message contains information generated by the USDA solely for the intended recipients. Any unauthorized interception of this message or the use or disclosure of the information it contains may violate the law and subject the violator to civil or criminal penalties. If you believe you have received this message in error, please notify the sender and delete the email immediately. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
