Cleaning (removed "data" stuff)

R/data.R

-#' Demographic projection of a bird population over 30 years, under 2 scenarios: sc0 and sc1
-#'
-#' An 4D array containing population size by age class (dim 1), each year (dim 2),
-#' for both scenarios (dim 3), and for each simulation run (dim 4).
-"demo_proj"
-
-#' Demographic projection under 5 scenarios
-#'
-#' A list Also a 4D array containing results : population size by age class (dim 1), each year (dim 2),
-#' for all scenarios (dim 3), and for each simulation run (dim 4).
-# "run0"

R/get_metrics.R

@@ -20,12 +20,6 @@
 #' @return a list of metric outputs : median, SD, 95% C.I. of the
 #' @export
 #'
-#' @examples
-#' ## Import Data
-#' data("demo_proj")
-#'
-#' ## Calculate the metric
-#' get_metrics(demo_proj, cumulated_impacts = FALSE)
 #'
 #'
 get_metrics <- function(N, cumulated_impacts = FALSE){

man/demo_proj.Rd

-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/data.R
-\docType{data}
-\name{demo_proj}
-\alias{demo_proj}
-\title{Demographic projection of a bird population over 30 years, under 2 scenarios: sc0 and sc1}
-\format{
-An object of class \code{array} of dimension 4 x 30 x 2 x 100.
-}
-\usage{
-demo_proj
-}
-\description{
-An 4D array containing population size by age class (dim 1), each year (dim 2),
-for both scenarios (dim 3), and for each simulation run (dim 4).
-}
-\keyword{datasets}

man/get_metrics.Rd

@@ -23,12 +23,3 @@ get_metrics takes the output array of the simulations run and calculate two impa
 When used on a cumulated_impacts analysis, this function also calculates these two metrics
 for each individual wind farm.
 }
-\examples{
-## Import Data
-data("demo_proj")
-
-## Calculate the metric
-get_metrics(demo_proj, cumulated_impacts = FALSE)
-
-
-}