common.species: Find the most common species characteristics assigned in...

In nstauffer/dima.tools: Reading, Manipulating, Analyzing, and Visualizing Data from Copies of the Database for Inventory, Monitoring, and Assessment (DIMA)

Description

Compare two or more DIMAs against each other to find out what the variability in species characteristic assignment is like and what the most common assignments are. This pulls in data from DIMAs without combining them because species are expected to appear more than once and combined tables will wreak havoc with some merge() steps. The data frame uniques contains one entry per combination of species code, growth habit, growth sub habit, and duration and a count of how many databases that combination occurred in. The data frame frequent contains one entry for each species code that had at least one of those characteristics assigned and the most frequently occurring value for each characteristic. These are considered separately though, so if ARTRW8 shows up in three DIMAs as non-woody perennial forb, a woody perennial shrub, and a woody annual shrub then the entry in the output would call it a woody perennial shrub.

Usage

common.species(data.path, dima.list)

Arguments

data.path	A string. The path to the folder containing the DIMA[s].
dima.list	Optional character vector. Two or more filenames of DIMAs to read data from in data.path. If not specified, all DIMAs in the folder will be read from.

Value

A list with containing data frames frequent and unique.

nstauffer/dima.tools documentation built on May 20, 2019, 2:09 p.m.