Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology


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Documentation for package ‘douconca’ version 1.2.0

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anova.dcca Community- and Species-Level Permutation Test in Double Constrained Correspondence Analysis (dc-CA)
anova.wrda Permutation Test for weighted redundancy analysis
anova_sites Utility function: community-level permutation test in Double Constrained Correspondence Analysis (dc-CA)
anova_species Utility function: Species-level Permutation Test in Double Constrained Correspondence Analysis (dc-CA)
dc_CA Performs (weighted) double constrained correspondence analysis (dc-CA)
dune_trait_env Dune meadow data with plant species traits and environmental variables
fCWM_SNC Calculate community weighted means and species niche centroids for double constrained correspondence analysis
getPlotdata Utility function: extracting data from a 'dc_CA' object for plotting a single axis by your own code or 'plot.dcca'.
plot.dcca Plot a single dc-CA axis with CWMs, SNCs, trait and environment scores.
plot_dcCA_CWM_SNC Plot the CWMs and SNCs of a single dc-CA axis.
plot_species_scores_bk Vertical ggplot2 line plot of ordination scores
predict.dcca Prediction for double-constrained correspondence analysis (dc-CA)
print.dcca Print a summary of a dc-CA object.
print.wrda Print a summary of a wrda object
scores.dcca Extract results of a double constrained correspondence analysis (dc-CA)
scores.wrda Extract results of a weighted redundancy analysis (wrda)
wrda Performs a weighted redundancy analysis