pcaser {dave} | R Documentation |

Given a vegetation data frame containing various time series this plots a pca-ordination (`pca`

) and connects points belonging to the same series with lines. The plots where the releves come from are identified by plotlabels (see below).

```
pcaser(veg, plotlabels, y, ...)
pcaser2(veg, plotlabels, y=1)
## Default S3 method:
pcaser(veg, plotlabels, y, ...)
## S3 method for class 'pcaser'
plot(x,lines=TRUE,arrows=TRUE,...)
```

`veg` |
This is a vegetation data frame, releves are rows, species columns |

`plotlabels` |
Plot names. Rows with identical name are assumed to belong to the same time series. |

`y` |
Transformation of species scores: x'= x exp(y) |

`...` |
Parameter lines=TRUE will connect the series. Otherwise they are distinguished by symbols used in plot only. |

`x` |
An object of class "pcaser". |

`lines` |
A logical variable. When TRUE then points of the same time series are connected. |

`arrows` |
A logical variable. When TRUE then the first and the last points of the same time series are connected. |

An object of class "pcaser" with at least the following items:

`comp1 ` |
Description of 'comp1' |

`nrel ` |
Total number of releves involved (i.e., row number) |

`nser ` |
Total number of time series (i.e., locations where the data stem from |

`scores ` |
The pca-ordination scores |

`plotlab ` |
Plot labels used for plotting |

`plotlabels ` |
Plot names |

`Eigv` |
Eigenvalues (percentage) |

Otto Wildi

Wildi, O. 2017. Data Analysis in Vegetation Ecology. 3rd ed. CABI, Oxfordshire, Boston.

```
o.pcaser<- pcaser(sn6veg,sn6sit$Plot.no,y=0.25)
plot(o.pcaser,lines=TRUE)
```

[Package *dave* version 2.0 Index]