Nothing
`IsoPlot.modVec` <-
function (x, y, type = c("continuous", "ordinal"), add.curve = FALSE)
{
Probe.ID <- rownames(y)
#y <- as.numeric(as.character(y))
y <- as.numeric(y)
type <- match.arg(type)
if (!(type %in% c("continuous", "ordinal")))
stop("The dose can be only continuous or ordinal")
stat <- IsoGene1(x,y)
E2up <- round(stat$E2.up,2)
E2down <- round(stat$E2.dn,2)
miny <- min(y)
maxy <- max(y)
ordx <- order(x)
unx <- sort(unique(x))
y1 <- as.numeric(y)[ordx]
y.m <- tapply(y1, as.factor(x[order(x)]), mean)
y.m.tot <- rep(mean(y), length(unx))
n.p <- table(x)
n.g <- length(n.p)
y.is.u <- pava(y = y.m, w = n.p)
y.is.d <- pava(y = y.m, w = n.p, decreasing = TRUE)
dire <- IsoGene1(x, as.numeric(y))[[11]]
if (type == "continuous") {
plot(sort(x), y1, lwd = 2, xlab = "Doses", ylab = "Response")
points(sort(unique(x)), y.m, pch = "+", lwd = 3, col = 2)
points(unx, y.is.u, pch = "*", lwd = 2)
if (add.curve)
lines(unx, y.is.u, lty = 1, col = 2, lwd = 2)
points(unx, y.is.d, pch = "*", lwd = 2)
if (add.curve)
lines(unx, y.is.d, lty = 1, col = 4, lwd = 2)
}
else {
catx <- factor(x, levels = sort(unique.default(x)), labels = unx,
ordered = FALSE)
a <- 1:length(unx)
plot(a, ylim = c(miny, maxy), pch = "", ylab = "Response",
xlab = "Doses", axes = FALSE)
axis(1, sort(unique(a)), as.character(unx))
axis(2)
points(catx, y, lwd = 2)
points(sort(unique(catx)), y.m, pch = "+", lwd = 3, col = 2)
points(a, y.is.u, pch = "*", lwd = 2)
if (add.curve)
lines(a, y.is.u, lty = 1, col = 4, lwd = 2)
points(a, y.is.d, pch = "*", lwd = 2)
if (add.curve)
lines(a, y.is.d, lty = 1, col = 2, lwd = 2)
}
l <- length(unx)
unx <- as.numeric(as.character(unx))
maxx <- 0.35*(max(unx)+unx[l-1])
legend("bottomright" , c(paste("Up, E2: ", E2up , sep = "" ), paste("Down, E2: ", E2down , sep = "" )), col = c(4,2),
lty = 1, lwd=2, merge = TRUE, cex=0.6)
title(paste("Sample: ", Probe.ID, sep = ""))
}
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