plotPcaFd {fda} | R Documentation |

## Plot Output from Principal Components Analysis Function PCA.FD

### Description

Function pca.fd produces an object of class pcafd. This function plots the information in this object.

### Usage

plotPcaFd(pcafd, nx=128, pointplot=TRUE, harm=0, expand=0, cycle=FALSE, ...)

### Arguments

`pcafd ` |
An object of class pcafd. |

`nx ` |
The number of argument values used to plot the harmonics. |

`pointplot ` |
A logical variable. If pointplot is TRUE, then the harmonics are plotted as + and -, otherwise lines are used. |

`harm ` |
The number of harmonics to plot |

`expand ` |
If expand = 0 then the effect of adding +/- 2 standard deviations of each principal component are given. Otherwise the factor expand is used. |

`cycle ` |
A logical variable. If cycle is TRUE and there are two variables, then a cycle plot will be drawn. If the number of variables is anything else, cycle will be ignored. |

`... ` |
Additional arguments that can be used in all plotting programs. |

### Details

### Value

A plot of the results of a principal components analysis.

### Note

### Author(s)

### References

### See Also

pca.fd

### Examples

[Package

*fda* version 1.0

Index]