# Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology

## Documentation for package ‘douconca’ version 1.2.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

anova.cca0 | Permutation Test for canonical correspondence analysis
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)
cca0 | Performs a canonical correspondence analysis
coef.dcca | Coefficients of 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
fitted.dcca | Fitted values of double-constrained correspondence analysis (dc-CA)
fN2 | Hill number of order 2: N2
FS | Default forward selection function.
FS.dcca | Forward selection of traits or environmental variables using dc-CA.
FS.wrda | Forward selection of predictor variables using wrda or cca0
getPlotdata | Utility function: extracting data from a 'dc_CA' object for plotting a single axis by your own code or 'plot.dcca'.
ipf2N2 | Iterative proportional fitting of an abundance table to Hill-N2 marginals
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)
predict.wrda | Prediction from cca0 and wrda models
print.dcca | Print a summary of a dc-CA object.
print.wrda | Print a summary of a wrda or cca0 object
scores.dcca | Extract results of a double constrained correspondence analysis (dc-CA)
scores.wrda | Extract results of a weighted redundancy analysis (wrda) or a cca0 object.
wrda | Performs a weighted redundancy analysis