Function reference • fdcoexist

All functions
`alphaterm()`	Function definition for deterministic model run with global dispersal Compute alpha term in Beverton-Holt function
`bevHoltFct()`	Beverton-Holt function
`check_trait_weights()`	Check trait weights data.frame
`compute_compet_distance()`	Compute trait distance between species
`compute_hierarchical_compet()`	Compute Hierarchical Competition coefficient at each time step
`create_trait_weights()`	Generates a data.frame of trait weights
`env_curve()`	Species growth rate for a given trait and environment
`extract_growth_rates()`	Extract different growth rates from fdcoexist simulation
`extract_mismatches()`	Extract species mismatches
`generate_cor_traits()`	Generate correlated traits
`generate_cor_traits_rand()`	Generate random traits Compared to generate_cor_traits() introduce a little of variability in first trait as instead of being directly determined by the species number it adds little white noise to it and scale it to a minimum of 0 if negative and maximum of 25 if maximum value is over 25.
`mismatch()`	Plot mismatch per species between environmental optimum and max. abundance
`multigen()`	Function to run the simulation
`plot_patch()`	Plot patch dynamics
`plot_rh()`	Plot hierarchical growth of species in all the patches
`r_env()`	Plot environmental response curves of species in all the patches
`r_env_CT()`	Extract Species by Patch Growth Rates and Optimal Patches
`scale_distance()`	Scale distance or matrix between 0 and 1
`sp_ab_gr()`	Plot environmental response curves of species in all the patches
`wtd_kurtosis()`	Weighted Kurtosis with na.rm
`wtd_mean()`	Weighted mean that allows NA in values and weights
`wtd_skewness()`	Weighted Skewness with na.rm
`wtd_var()`	Weighted Variance

Reference

All functions