R/data.R

In baldermann/rsaeGWR: Robust small area estimation under spatial non-stationarity

#' Generated Samlpe for demonstrational purpose of the rsaeGWR package
#'@docType data
#'
#'@usage data(sampleData)
#'
#' @format A data frame with 200 rows and 5 variable:
#' \describe{
#'   \item{long}{Longituge}
#'   \item{lat}{Latitude}
#'   \item{clusterid}{ID variable, defining the areas}
#'   \item{x}{Continious explanatory variable}
#'   \item{y}{Continious dependend variable}...
#' }
#'
"sampleData"
#' Agrregated population for demonstrational purpose of the rsaeGWR package
#'@docType data
#'
#'@usage data(popaggData)
#'
#' @format A data frame with 4 rows and 6 variable:
#' \describe{
#'   \item{clusterid}{ID variable, defining the areas}
#'   \item{long}{Longituge of the centroid}
#'   \item{lat}{Latitude of the centroid}
#'   \item{x}{Continious explanatory variable}
#'   \item{Size}{Area-specific population size}
#' }
#'
"popaggData"

#' Generated out-of-sample population units
#'@docType data
#'
#'@usage data(popoutData)
#'
#' @format A data frame with 4000 rows and 6 variable:
#' \describe{
#'   \item{clusterid}{ID variable, defining the areas}
#'   \item{long}{Longituge }
#'   \item{lat}{Latitude}
#'   \item{x}{Continious explanatory variable}
#'   }
#'
"popoutData"