Function reference • MeanRarity

Key functions
Computation
`divpro()`	Generate Hill diversity profile
`e2d()`	Hill diversity from evenness
`e3Fun()`	Normalized Hill evenness
`rarity()`	Compute Hill diversity: the mean species rarity
Visualization
`ellnotate()`	Convenience function to label rarity plots with scaling exponent
`print_operator()`	Ratio labels
`radplot()`	Plot a rank-abundance distribution
`rarity_plot()`	Construct rarity balance plot
`rat_breaks()`	Compute breaks for ratio scale
`seesaw_sugar()`	ggplot sugar for rarity plots
Sampling
`sample_finite()`	Take an abundance vector and subsample to size
`sample_infinite()`	Sample a [relative] abundance vector with replacement
`subcom()`	Subsample of several community vectors A wrapper of `sample_finite` to take a subset of a bunch of communities, each subset of equal abundance.
Simulation
`fit_SAD()`	Fit a SAD given diversity and a distributional assumption
Datasets
`beeAbunds`	Bee specimens from 4 sites sampled with equal effort, summarized
`beeObs`	Bee specimens from 4 sites sampled with equal effort
`effort_rare`	Rarefied diversity estimates for each site, multiple standards
`err_plot_data`	Sampling variability in Hill diversity
`errs`	Estimator accuracy and bias
`mean_ests`	Rarefied diversity estimates for each site
Other exported objects
`Bt_prob_abu()`	Generate "augmented" sample for bootstrapping
`Chao_Hill_abu()`	Estimate asymptotic Hill diversity
`Chat.Ind()`	Estimate sample coverage
`combfun()`	Sums duplicate values, for determining [species] weights
`ENSer()`	Worker to iteratively solve ENS transformation of Hurlbert diversity
`Exp()`	Exponentiate `x` to power `y`
`GUE()`	God's unbiased estimator
`hRare()`	Hurlbert rarefaction
`hurl()`	Estimate ENS based on Hurlbert rarefaction
`ipfun()`	Inverse function for power transformation
`Ln()`	Robust natural log
`%ni%`	Not in
`obs_est()`	Observed and asymptotic diversity
`omit_y()`	Convenience function to omit y-axis elements for constructing multi-panel plots
`pfun()`	Power transformation
`power_trans()`	Power scale transformation
`rmsle()`	Root mean squared log error
`try_SAD()`	Relative abundances, given richness and distributional assumption
`white_y()`	Convenience function to blank y-axis elements for constructing multi-panel plots

Reference

Key functions

Computation

Visualization

Sampling

Simulation

Datasets

Other exported objects