R/data-solar.R

In tessington/qsci381: Data used in QSCI 381, University of Washington

#' Energy Output From Two Solar Arrays in San Francisco
#'
#' The data provide the energy output for several months from two roof-top
#' solar arrays in San Francisco. This city is known for having highly variable
#' weather, so while these two arrays are only about 1 mile apart from each
#' other, the Inner Sunset location tends to have more fog.
#'
#' The Haight-Ashbury array is a 10.4 kWh array, while the Inner Sunset array
#' is a 2.8 kWh array. The kWh units represents kilowatt-hours, which is
#' the unit of energy that typically is used for electricity bills. The cost
#' per kWh in San Francisco was about $0.25 in 2016.
#'
#'
#' @name solar
#' @docType data
#' @format A data frame with 284 observations on the following 3 variables.
#' Each row represents a single day for one of the arrays.
#' \describe{
#'   \item{location}{Location for the array.}
#'   \item{date}{Date.}
#'   \item{kwh}{Number of kWh}
#'   }
#' @source These data were provided by Larry Rosenfeld, a resident in San Francisco.
#' @keywords datasets
#' @examples
#'
#' solar.is <- subset(solar, location == "Inner_Sunset")
#' solar.ha <- subset(solar, location == "Haight_Ashbury")
#' plot(solar.is$date, solar.is$kwh, type = "l", ylim = c(0, max(solar$kwh)))
#' lines(solar.ha$date, solar.ha$kwh, col = 4)
#'
#' d <- merge(solar.ha, solar.is, by = "date")
#' plot(d$date, d$kwh.x / d$kwh.y, type = "l")
#'
"solar"