On Mon, 23 Apr 2007, joseph powell (RI) wrote: > Hi, > > I'm using R for a QTL analysis of SNP data. I was wondering if anyone > had any advice on fitting a dominance effect into the following > function; > >> myfun4 > function (x) { > x <- scan(con, nmax=169) > y <- unique(x[which(!is.na(x))]) > if(length(y)>1) { > summary(lme(Ad ~ x, random= ~1|sire, na.action="na.omit")) > } > else {print("no.infomation")} > } >
Use Ad ~ x + I( 1 - abs( x - 1 ) ) in place of Ad ~ x > > Con is the connection to a file of the genotypes for each SNP. It is set > up as a continues string of genotype (0, 1, 2), the first 169 for the > first SNP, the second 169 for the second SNP and so on. > > I need a way of determining if the deviation of the mean of genotype 1 > is significant from that of the mean of genotypes 0 & 2. > > Any help would be greatly appreciated. > > Cheers, > > Joseph > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > Charles C. Berry (858) 534-2098 Dept of Family/Preventive Medicine E mailto:[EMAIL PROTECTED] UC San Diego http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0901 ______________________________________________ R-help@stat.math.ethz.ch 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.