# speedprof: Plotting velocity profiles of multivariate time series In dave: Functions for "Data Analysis in Vegetation Ecology"

## Description

From a multivariate time series of vegetation data this first computes a distance matrix (`vegdist`, euclidean). The first plot is a graphical representation of the full distance matrix, the second a profile of change per time step of different length (velocity).

## Usage

 ```1 2 3 4 5 6 7``` ```speedprof(veg, timescale, orders, y = 1, adjust,...) speedprof2(veg, timescale, orders, y = 1, adjust) ## Default S3 method: speedprof(veg, timescale, orders, y = 1, adjust,...) ## S3 method for class 'speedprof' plot(x,...) ```

## Arguments

 `veg` This is a vegetation data frame, releves are rows, species columns. Releves are considered a time series. `timescale` A vector of points in time of releves (rows) `orders` Orders used for printing the velocity profile, i.e., the number of time steps used for calculating speed (rate of change per time unit). `y` Transformation of species scores: x'= x exp(y) `adjust` Parameter adjust=TRUE re-scales releves to vector sum=100 percent (assuming cover `x` An object of class "speedprof". `...` Parameter out.seq, the plotting interval

## Value

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

 `nrel ` The number of releves `dmatrix ` The distance matrix `timescale ` The time scale `orders ` Time step lengths considered for plotting the profile

Otto Wildi

## References

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

## Examples

 ```1 2 3``` ```orders<- c(1,2,3,4) o.spp<- speedprof(tveg,tsit\$Year,orders,y=1.0,adjust=TRUE) plot(o.spp) ```

dave documentation built on Nov. 17, 2017, 7:45 a.m.