process.data.cafe: Process data from a single treatment prior to making a vector...

In ctkremer/priceTools: Tools for analyzing biodiversity-ecosystem function relationships

Description

These functions take the data generated by pairwise.price() and processes it into the terms needed in CAFE, BEF, or Price component vector plots.

Usage

process.data.cafe(data, group.vars = NULL, standardize = TRUE)

process.data.bef(data, group.vars = NULL, standardize = TRUE)

process.data.price(data, group.vars = NULL, standardize = TRUE)

Arguments

data	Pairwise Price data
group.vars	A vector of grouping variables, if any
standardize	Should ecosystem function values be standardized against baseline? T/F

Value

A list of three data sets with different levels of aggregation used in subsequent vector plots. Although still exported, this function has become essentially an internal function, called by members of the leap.zig family of functions, and may rarely be useful to call directly.

Functions

• process.data.bef: Process data for plotting BEF components.

• process.data.price: Process data for plotting 5-part Price components.

Examples

# write one
set.seed(36)

# Data frame containing multiple communities we want to compare
cms<-data.frame(comm.id=sort(rep(seq(1,3),6)),
                species=rep(LETTERS[seq(1,6)],3),
                func=rpois(6*3,lambda = 2))
                
#Identify one (or more) grouping columns
cms<-group_by(cms,comm.id)

# Perform pairwise comparisons of all communities in cms identified by comm.id
pp<-pairwise.price(cms,species='species',func='func')
pp<-group.columns(pp,gps=c('comm.id'))

process.data.cafe(data=pp,group.vars='comm.id')
process.data.bef(data=pp,group.vars='comm.id')
process.data.price(data=pp,group.vars='comm.id')
   

ctkremer/priceTools documentation built on May 28, 2019, 7:49 p.m.