screeplot {stats} | R Documentation |
screeplot.default
plots the variances against the number of the
principal component. This is also the plot
method for classes
"princomp"
and "prcomp"
.
## Default S3 method: screeplot(x, npcs = min(10, length(x$sdev)), type = c("barplot", "lines"), main = deparse1(substitute(x)), ...)
x |
an object containing a |
npcs |
the number of components to be plotted. |
type |
the type of plot. Can be abbreviated. |
main, ... |
graphics parameters. |
Mardia, K. V., J. T. Kent and J. M. Bibby (1979). Multivariate Analysis, London: Academic Press.
Venables, W. N. and B. D. Ripley (2002). Modern Applied Statistics with S, Springer-Verlag.
require(graphics) ## 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) fit <- princomp(covmat = Harman74.cor) screeplot(fit) screeplot(fit, npcs = 24, type = "lines")