screeplot {stats} | R Documentation |

## Scree Plots

### Description

`screeplot.default`

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

method for classes
`"princomp"`

and `"prcomp"`

.

### Usage

```
screeplot(x, ...)
## Default S3 method:
screeplot(x, npcs = min(10, length(x$sdev)),
type = c("barplot", "lines"),
main = deparse1(substitute(x)), ...)
```

### Arguments

`x` |
an object containing a |

`npcs` |
the number of components to be plotted. |

`type` |
the type of plot. Can be abbreviated. |

`main` , `...` |
graphics parameters. |

### 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

```
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")
```

[Package

*stats*version 4.4.0 Index]