pcaser {dave} R Documentation

## Connecting time series in ordinations

### Description

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).

### Usage

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,...)


### Arguments

 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.

### Value

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

### References

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

### Examples

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


[Package dave version 2.0 Index]