I thought this would be simple enough and in some ways it is, but I don't
have an answer I would call easy
The manual process would be to use barplot instead of screeplot, so that you
could return the x values. The other choice would be to hack the screeplot
function to return the values. (see the end)
Then you need to get the y values. If you follow the example in screeplot
## The variances of the variables in the
## USArrests data vary by orders of magnitude, so scaling is appropriate
(pc.cr <- princomp(USArrests, cor = TRUE)) # inappropriate
screeplot(pc.cr)
then you might use
pc.cr$sdev^2 * 0.9
My difficulty came when I looked at pc.cr$loadings. This uses the print.loadings
method to calulate the cumulative values
a very quick kludge gives me
cumvar <- function (x, digits = 3, cutoff = 0.1, sort = FALSE, ...)
{
Lambda <- unclass(x)
p <- nrow(Lambda)
factors <- ncol(Lambda)
if (sort) {
mx <- max.col(abs(Lambda))
ind <- cbind(1:p, mx)
mx[abs(Lambda[ind]) < 0.5] <- factors + 1
Lambda <- Lambda[order(mx, 1:p), ]
}
cat("\nLoadings:\n")
fx <- format(round(Lambda, digits))
names(fx) <- NULL
nc <- nchar(fx[1])
fx[abs(Lambda) < cutoff] <- paste(rep(" ", nc), collapse =
"")
vx <- colSums(x^2)
varex <- rbind("SS loadings" = vx)
if (is.null(attr(x, "covariance"))) {
varex <- rbind(varex, "Proportion Var" = vx/p)
if (factors > 1)
varex <- rbind(varex, "Cumulative Var" = cumsum(vx/p))
}
invisible(return(cumsum(vx/p)))
}
screeplot <- function (x, npcs = min(10, length(x$sdev)), type =
c("barplot",
"lines"), main = deparse(substitute(x)), ...)
{
main
type <- match.arg(type)
pcs <- x$sdev^2
xp <- seq(length = npcs)
if (type == "barplot")
tt <- barplot(pcs[xp], names = names(pcs[xp]), main = main,
ylab = "Variances", ...)
else {
plot(xp, pcs[xp], type = "b", axes = FALSE, main = main,
xlab = "", ylab = "Variances", ...)
axis(2)
axis(1, at = xp, labels = names(pcs[xp]))
}
invisible(return(tt))
}
here <- screeplot(pc.cr)
text(here,pc.cr$sdev^2 + 0.1,paste(cumvar(pc.cr$loadings)*100,"%",sep
= ""),xpd=T)
> -----Original Message-----
> From: Anne [mailto:anne.piotet at urbanet.ch]
> Sent: Wednesday, 5 January 2005 5:45 AM
> To: R list
> Subject: [R] scree plot
>
>
> Hi!
>
> Is there an easy way to add to the scree-plot labels to each
> value pertaining to the cumulative proportion of explained variance?
>
> Thanks and a happy new year
>
> Anne
> ----------------------------------------------------
> Anne Piotet
> Tel: +41 79 359 83 32 (mobile)
> Email: anne.piotet at m-td.com
> ---------------------------------------------------
> M-TD Modelling and Technology Development
> PSE-C
> CH-1015 Lausanne
> Switzerland
> Tel: +41 21 693 83 98
> Fax: +41 21 646 41 33
> --------------------------------------------------
>
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