Nothing
print.noia.linear.gpmap <-
function (x, ...)
{
cat("\nGenotypic values:\n")
cat(paste("\tn=", length(x$gmap), " min: ", format(min(x$gmap),
digits = 5), " max: ", format(max(x$gmap), digits = 5),
" mean: ", format(mean(x$gmap), digits = 5), "\n"))
cat("Genotype:\n")
cat(paste("\t", x$nloc, " loci\n"))
for (l in 1:x$nloc) {
cat("\t\tLocus ", l, "\t\t1: ", format(x$genofreqloc[l,
1], digits = 3, nsmall = 3), "\t2: ", format(x$genofreqloc[l,
2], digits = 3, nsmall = 3), "\t3: ", format(x$genofreqloc[l,
3], digits = 3, nsmall = 3), "\n", sep = "")
}
cat("\n")
coef <- cbind(x$E, x$variances)
rownames(coef) <- names(x$E)
colnames(coef) <- c("Effects", "Variances")
printCoefmat(coef, P.values = FALSE, signif.stars = FALSE,
has.Pvalue = FALSE)
variance <- x$V_G
cat("\nVariances\n\tTotal (genetic)\t", format(variance,
digits = 5), "\n", sep = "")
}
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