ACS: Adaptive Cluster Sampling

#' Example dataset from Christman (1997)
#'
#' An example dataset from Christman (1997): \eqn{\lambda_P = 5, \tau = 1}{lambda_P = 5, tau = 1}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_5_tau_1
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_5_tau_1)
#' 
#' ggplot(lambdap_5_tau_1 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL



#' Example dataset from Christman (1997)
#'
#' An example dataset from Christman (1997): \eqn{\lambda_P = 5, \tau = 5}{lambda_P = 5, tau = 5}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_5_tau_5
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_5_tau_5)
#' 
#' ggplot(lambdap_5_tau_5 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL





#' Example dataset from Christman (1997)
#'
#' An example dataset from Christman (1997): \eqn{\lambda_P = 5, \tau = 10}{lambda_P = 5, tau = 10}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_5_tau_10
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_5_tau_10)
#' 
#' ggplot(lambdap_5_tau_10 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL





#' Example dataset from Christman (1997)
#'
#' An example dataset from Christman (1997):\eqn{\lambda_P = 5, \tau = 2.5}{lambda_P = 5, tau = 2.5}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_5_tau_25
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_5_tau_25)
#' 
#' ggplot(lambdap_5_tau_25 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL





#' Example dataset from Christman (1997)
#'
#' An example dataset from Christman (1997): \eqn{\lambda_P = 10, \tau = 5}{lambda_P = 10, tau = 5}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_10_tau_5
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_5_tau_1)
#' 
#' ggplot(lambdap_5_tau_1 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL




#' Example dataset from Christman (1997)
#'
#' @description An example dataset from Christman (1997): \eqn{\lambda_P = 10, \tau = 2.5}{lambda_P = 10, tau = 2.5}.
#'
#' \itemize{
#'   \item y. Y coordinate.
#'   \item x. X coordinate.
#'   \item NetworkID. The ID of the network to which the unit belongs.
#'   \item m. The number of units in the given network.
#'   \item y_value. The abundance of the species of interest.
#' }
#'
#' @format A data frame with 100 rows and 5 variables
#' @name lambdap_10_tau_25
#' @references 
#' \insertRef{christman1997efficiency}{ACSampling}
#' @examples 
#' library(ggplot2)
#' library(magrittr)
#' data(lambdap_10_tau_25)
#' 
#' ggplot(lambdap_10_tau_25 %>% dplyr::filter(y_value!=0), aes(x, y)) + geom_text(aes(label=y_value))

NULL