R/datasets.R

In iNZightTS: Time Series for 'iNZight'

#' Sea Ice
#'
#' A dataset containing sea ice measurements from 1990 to 2011.
#'
#' @format A data frame with 265 rows and 3 variables:
#' \describe{
#'   \item{Time}{The time variable}
#'   \item{Arctic}{Sea ice measurement for the Arctic}
#'   \item{Antarctica}{Sea ice measurement for Antarctica}
#' }
"seaice"


#' Visitors (annual)
#'
#' A dataset containing annual visitor numbers for several countries.
#'
#' @format A data frame with 13 rows and 5 variables:
#' \describe{
#'   \item{Time}{The time variable (year)}
#'   \item{Australia}{Visitor counts for Australia}
#'   \item{China..People.s.Republic.of}{Visitor counts for China}
#'   \item{Japan}{Visitor counts for Japan}
#'   \item{United.Kingdom}{Visitor counts for the UK}
#' }
"visitorsA2"

#' Visitors (monthly)
#'
#' A dataset containing monthly visitor numbers for several countries.
#'
#' @format A data frame with 164 rows and 5 variables:
#' \describe{
#'   \item{Time}{The time variable (year/month)}
#'   \item{Australia}{Visitor counts for Australia}
#'   \item{China..People.s.Republic.of}{Visitor counts for China}
#'   \item{Japan}{Visitor counts for Japan}
#'   \item{United.Kingdom}{Visitor counts for the UK}
#' }
"visitorsM2"

#' Visitors (quarterly)
#'
#' A dataset containing quarterly visitor numbers for several countries.
#'
#' @format A data frame with 54 rows and 5 variables:
#' \describe{
#'   \item{Date}{The time variable (year/quarter)}
#'   \item{Australia}{Visitor counts for Australia}
#'   \item{China..People.s.Republic.of}{Visitor counts for China}
#'   \item{Japan}{Visitor counts for Japan}
#'   \item{United.Kingdom}{Visitor counts for the UK}
#' }
"visitorsQ"