Nothing
plottwoloci <-
function (x, loc1, loc2, shift = 0.02, stderr = TRUE, GPcol = c("red",
"green", "blue"), arrowcol = aperm(matrix(rep(GPcol, 3),
3, 3)), ylab = "Genotypic values", xlab = "Phenotype", ylim = NA,
main = paste("GPmap:", "Loc", loc1, "/", "Loc", loc2, "(",
err.name, ")"), ...)
{
if (stderr == TRUE) {
err <- 1
err.name = "stderr"
}
else {
err <- 1.96
err.name <- "IC95%"
}
Gv <- recomputeG(x, c(loc1, loc2))
segp1 <- matrix((Gv[, 1] - err * (Gv[, 2]/2)), 3, 3)
segp2 <- matrix((Gv[, 1] + err * (Gv[, 2]/2)), 3, 3)
matGval <- matrix(Gv[, 1], 3, 3)
lab1 <- c(paste(tolower(LETTERS[loc1]), tolower(LETTERS[loc1])),
paste(tolower(LETTERS[loc1]), LETTERS[loc1]), paste(LETTERS[loc1],
LETTERS[loc1]))
lab2 <- c(paste(tolower(LETTERS[loc2]), tolower(LETTERS[loc2])),
paste(tolower(LETTERS[loc2]), LETTERS[loc2]), paste(LETTERS[loc2],
LETTERS[loc2]))
z <- matrix(c(0, 1, 2), 3, ((3^2)/3))
c <- c(0, shift, -shift)
z <- aperm(apply(z, 1, function(x) {
x + c
}))
if (is.na(ylim[1])) {
ylim <- c(floor(min(segp1)), ceiling(max(segp2)) * 1.12)
}
matplot(z, matGval, xaxt = "n", xlab = xlab, col = GPcol,
type = "b", cex.main = 1, cex.axis = 0.7, pch = 3, ylim = ylim,
main = main, ylab = ylab, ...)
axis(1, at = seq(0, 2, 1), labels = lab1, cex.axis = 0.8,
tick = FALSE, las = 1, padj = -2)
arrows(z, segp1, z, segp2, code = 3, length = 0.02, angle = 90,
col = arrowcol, cex.lab = 0.3)
legend("top", legend = c(if (x$nloc > 1) {
lab2
}), pch = c("_"), col = GPcol, bty = "n", cex = 0.8, pt.cex = 0.8)
}
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