accum                   Split a dataframe column with binomial name
                        into genus and species columns. Plots change in
                        species richness over time, generates species
                        accumulation curve, and compares SAC against
                        simulated idealized curve assuming all unique
                        taxa have equal probability of being sampled at
                        any point in the time series. (author Dietmar
                        Straile)
algae_search            Compare a genus and species name against the
                        algaebase online database
bestmatch               fuzzy partial matching between a scientific
                        name and a list of possible matches
date_mat                Transform a phytoplankton timeseries into a
                        matrix of abundances for ordination
genus_species_extract   Split a dataframe column with binomial name
                        into genus and species columns.
lakegeneva              example dataset from lake Geneva, Switzerland
mean_naomit             Compute mean value while ignoring NA's
phyto_ts_aggregate      Aggregate phytoplankton timeseries based on
                        abundance. Up to 3 grouping variables can be
                        given: e.g. genus, species, stationid, depth
                        range. If no abundance var is given, will
                        aggregate to presence/absence of grouping vars.
sampeff                 Visually assess change in sampling effort over
                        time (author: Dietmar Straile)
spp_list_algaebase      Wrapper for applying algae_search function to a
                        data.frame that contains phytoplankton species
traitranges             surface/volume ratio and max linear dimension
                        criteria for CSR From Reynolds 1988 and
                        Reynolds 2006
traits_to_csr           Assign phytoplankton species to CSR functional
                        groups, based on surface to volume ratio and
                        maximum linear dimension ranges proposed by
                        Reynolds et al. 1988;2006
traits_to_csr_df        Add CSR functional group classifications to a
                        dataframe of phytoplankton species, based on
                        surface to volume ratio and maximum linear
                        dimension ranges proposed by Reynolds et al.
                        1988;2006
traits_to_mfg           Assign MFG based on binary functional traits
                        and taxonomy (Class and Order)
traits_to_mfg_df        Assign morphofunctional groups to a dataframe
                        of functional traits and higher taxonomy
