# screeplot

##### Screeplots

`screeplot.default`

plots the variances against the number of the
principal component. This is also the `plot`

method for classes
`"princomp"`

and `"prcomp"`

.

- Keywords
- multivariate

##### Usage

`"screeplot"(x, npcs = min(10, length(x$sdev)), type = c("barplot", "lines"), main = deparse(substitute(x)), ...)`

##### Arguments

##### References

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.

##### See Also

##### Examples

`library(stats)`

```
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")
```

*Documentation reproduced from package stats, version 3.2.5, License: Part of R 3.2.5*

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