R: Characterising and Locating Ecotones and Communities

# Characterising and Locating Ecotones and Communities

## Documentation for package ‘EcotoneFinder’ version 0.2.3

- DESCRIPTION file

## Help Pages

arrange.vars | Re-ordering columns in dataframes:
cbindna | qpcR cbind.na method.
clustergram | Clustergram base function
clustergram.cmeans | cmeans function for clustergram
clustergram.cmeans.Ind | cmeans clustering with fuzzy indices computation for clustergram
clustergram.kmeans | Type function that clustergram takes for clustering.
clustergram.plot.matlines | Plot function for clustergram
clustergram.vegclust | Vegclust function for clustergram
clustergram.vegclust.Ind | Vegclust clustering with fuzzy indices computation for clustergram
clustergramInd | Clustergram with fuzzy indices plot
CommunityColor | Tool to assign color to species distribution plots given fuzzy clustering results.
curveNoPlot | Adaptation of the curve function (without plot).
DistEco | Tools for internal data structure exploration
EcotoneFinder | Wraper function to perform ecological gradient analysis
EcotoneFinderSeries | Extension of EcotoneFinder for space/time series
ExtractCentroid | Visualisation of fuzzy centroids:
FuzzyIndice.plot.matlines | Plot function for fuzzy indices with clustergram.
ggEcotone | GGplot method for EcotoneFinder
NetworkCommunity | Perform Spinglass algorythm and find networks communities
NetworkEco | Networks for ecotones and communities
NetworkEcoSeries | Networkeco for data series
plotEco | Plotting component for EcotoneFinder
plotEcotone | Plot method for EcotoneFinder
plotEnv | Plotting component for EcotoneFinder when run on environmental data
plotSlope | Plotting component for Slope
rbindna | qpcR rbind.na method.
Slope | Method to calculate the derivative of irregular functions:
SyntheticData | Create synthetic gaussian-shaped species abundance data
SyntheticDataSeries | Synthetic data for Space/Time series