R/WalleyeGerowLW.R

In droglenc/FSAWs: Construct and Validate Standard Weight (Ws) Equations for Fish

#' @title Raw length-weight data that can be used to compute the Ws for Walleye as performed in Gerow (2005).
#'
#' @description Raw length-weight data from a variety of populations used for computing the standard weight (Ws) equation for Walleye (\emph{Sander vitreus vitreus}).
#'
#' @name WalleyeGerowLW
#'
#' @docType data
#'
#' @format A data frame with 34734 observations on the following 3 variables:
#'  \describe{
#'    \item{popn}{A unique numeric identifier for each separate regression.}
#'    \item{len}{Total length (mm) of fish.}
#'    \item{wt}{Weight (g) of fish.} 
#'  }
#'
#' @seealso \code{\link{rlp}}, \code{\link{emp}}, and \code{\link{wsValidate}}.
#'
#' @source Directly from Ken Gerow. Summarized in Gerow, K.G., R.C. Anderson-Sprecher, and W.A. Hubert. 2005. A new method to compute standard-weight equations that reduces length-related bias. North American Journal of Fisheries Management 25:1288-1300.
#'
#' @keywords datasets
#'
#' @examples
#' str(WalleyeGerowLW)
#' head(WalleyeGerowLW)
#' 
#' ## two of many examples
#' op <- par(mfrow=c(1,2),pch=19)
#' plot(wt~len,data=WalleyeGerowLW,subset=popn==1,main="Population #1")
#' plot(wt~len,data=WalleyeGerowLW,subset=popn==10,main="Population #10")
#' par(op)
#'
NULL