R/data.R

In gacolitti/tidyroll: Time-Series Prediction with Irregular Time Slices using Tidymodels

#' New York Air Quality Measurements
#'
#' Daily air quality measurements in New York, May to September 1973.
#'
#' @docType data
#'
#' @usage data(airquality2)
#'
#' @format A data frame with 153 observations on 5 variables.
#'
#' \code{[,1] ozone} numeric ozone (ppb)
#' \code{[,2] solar_rad} numeric solar radiation (long)
#' \code{[,3] wind} numeric wind (mph)
#' \code{[,4] temp} numeric temperature (degrees F)
#' \code{[,5] date} (Y-mm-dd)
#' \code{[,6] ozone_sample} numeric fake ozone measurement before \code{date}
#' \code{[,7] ozone_sample_date} (Y-mm-dd) date for fake ozone measurement that precedes \code{date}
#'
#' @keywords datasets
#'
#' @references Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983) Graphical Methods for Data Analysis. Belmont, CA: Wadsworth.
#'
#' @source Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983) Graphical Methods for Data Analysis. Belmont, CA: Wadsworth.
#'
#' @examples
#' data(airquality2)
"airquality2"