R/data.r

In leppott/InvertExtirp: Extirpation Analysis for Benthic Macroinvertebrates and Fish

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' bio.sample
#'
#' Environmental data.
#'
#' @format a data frame with 234 variables:
#'
#'
"bio.sample"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' ss
#'
#' Species crosstab table of relative abundance of each taxon at each site/sample ID (row).
#'
#' @format A data frame with 225 variables:
#' \describe{
#' \item{\code{Sample.ID}}{sample/site ID}
#' }
#'
#'
"ss"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' df1
#'
#' Species crosstab (ss) with environmental variable lgSO4HCO3 and lat/long fields.
#'
#' @format a data frame with 228 variables:
#'
#'
"df1"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' taxalist
#'
#' A vector of 142 species names.
#'
#' @format A vector with 142 values:
#'
#'
"taxalist"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' tol.ss
#'
#' For tolerance() example, a species crosstab table of relative abundance of each taxon at each site/sample ID (row).
#'
#' @format A data frame with 1095 obs. and 340 variables; SampID and 229 taxa::
#'
#'
"tol.ss"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' tol.env.cond
#'
#' For tolerance() example, environmental data.
#'
#' @format A data frame with 482 obs. and 128 variables:
#'
#'
"tol.env.cond"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' species
#'
#' For taxon.response() example, a species table of relative abundance of each taxon at each site/sample ID.
#'
#' @format A data frame with 14,747 obs. and 26 variables; SampID and x taxa::
#'
#'
"species"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' envdata.all
#'
#' For taxon.response() example, environmental data.
#'
#' @format A data frame with 518 obs. and 16 variables:
#'
#'
"envdata.all"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' dta.do
#'
#' For fish.weighted.cdf() example, environmental data (DO).
#'
#' @format A data frame with 3,259 obs. and 68 variables:
#'
#'
"dta.do"
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' ss.sites
#'
#' For fish.weighted.cdf() example, a species list of relative abundance of each taxon at each site/sample ID.
#'
#' @format A list with 211 with 3789 levels for Station_Date::
#'
#'
"ss.sites"