#' Prices of 50,000 round cut diamonds
#'
#' A dataset containing the prices and other attributes of almost 54,000
#' diamonds. The variables are as follows:
#'
#' @format A data frame with 53940 rows and 10 variables:
#' \itemize{
#' \item price: price in US dollars ($326--$18,823)
#' \item carat: weight of the diamond (0.2--5.01)
#' \item cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal)
#' \item color: diamond colour, from J (worst) to D (best)
#' \item clarity: a measurement of how clear the diamond is
#' (I1 (worst), SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best))
#' \item x: length in mm (0--10.74)
#' \item y: width in mm (0--58.9)
#' \item z: depth in mm (0--31.8)
#' \item depth: total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79)
#' \item table: width of top of diamond relative to widest point (43--95)
#' }
"diamonds"
#' US economic time series.
#'
#' This dataset was produced from US economic time series data available from
#' \url{https://fred.stlouisfed.org/}. \code{economics} is in "wide"
#' format, \code{economics_long} is in "long" format.
#'
#' @format A data frame with 478 rows and 6 variables
#' \itemize{
#' \item date. Month of data collection
#' \item psavert, personal savings rate,
#' \item pce, personal consumption expenditures, in billions of dollars,
#' \item unemploy, number of unemployed in thousands,
#' \item uempmed, median duration of unemployment, in week,
#' \item pop, total population, in thousands,
#' }
#'
"economics"
#' @rdname economics
"economics_long"
#' Midwest demographics.
#'
#' Demographic information of midwest counties
#'
#' @format A data frame with 437 rows and 28 variables
#' \itemize{
#' \item PID
#' \item county
#' \item state
#' \item area
#' \item poptotal. Total population
#' \item popdensity. Population density
#' \item popwhite. Number of whites.
#' \item popblack. Number of blacks.
#' \item popamerindian. Number of American Indians.
#' \item popasian. Number of Asians.
#' \item popother. Number of other races.
#' \item percwhite. Percent white.
#' \item percblack. Percent black.
#' \item percamerindan. Percent American Indian.
#' \item percasian. Percent Asian.
#' \item percother. Percent other races.
#' \item popadults. Number of adults.
#' \item perchsd.
#' \item percollege. Percent college educated.
#' \item percprof. Percent profession.
#' \item poppovertyknown.
#' \item percpovertyknown
#' \item percbelowpoverty
#' \item percchildbelowpovert
#' \item percadultpoverty
#' \item percelderlypoverty
#' \item inmetro. In a metro area.
#' \item category'
#' }
#'
"midwest"
#' Fuel economy data from 1999 and 2008 for 38 popular models of car
#'
#' This dataset contains a subset of the fuel economy data that the EPA makes
#' available on \url{https://fueleconomy.gov}. It contains only models which
#' had a new release every year between 1999 and 2008 - this was used as a
#' proxy for the popularity of the car.
#'
#' @format A data frame with 234 rows and 11 variables
#' \itemize{
#' \item manufacturer.
#' \item model.
#' \item displ. engine displacement, in litres
#' \item year.
#' \item cyl. number of cylinders
#' \item trans. type of transmission
#' \item drv. f = front-wheel drive, r = rear wheel drive, 4 = 4wd
#' \item cty. city miles per gallon
#' \item hwy. highway miles per gallon
#' \item fl.
#' \item class.
#' }
"mpg"
#' An updated and expanded version of the mammals sleep dataset.
#'
#' This is an updated and expanded version of the mammals sleep dataset.
#' Updated sleep times and weights were taken from V. M. Savage and G. B.
#' West. A quantitative, theoretical framework for understanding mammalian
#' sleep. Proceedings of the National Academy of Sciences, 104 (3):1051-1056,
#' 2007.
#'
#' Additional variables order, conservation status and vore were added from
#' wikipedia.
#'
#' @format A data frame with 83 rows and 11 variables
#' \itemize{
#' \item name. common name
#' \item genus.
#' \item vore. carnivore, omnivore or herbivore?
#' \item order.
#' \item conservation. the conservation status of the animal
#' \item sleep_total. total amount of sleep, in hours
#' \item sleep_rem. rem sleep, in hours
#' \item sleep_cycle. length of sleep cycle, in hours
#' \item awake. amount of time spent awake, in hours
#' \item brainwt. brain weight in kilograms
#' \item bodywt. body weight in kilograms
#' }
"msleep"
#' Terms of 11 presidents from Eisenhower to Obama.
#'
#' The names of each president, the start and end date of their term, and
#' their party of 11 US presidents from Eisenhower to Obama.
#'
#' @format A data frame with 11 rows and 4 variables
"presidential"
#' Vector field of seal movements.
#'
#' This vector field was produced from the data described in Brillinger, D.R.,
#' Preisler, H.K., Ager, A.A. and Kie, J.G. "An exploratory data analysis
#' (EDA) of the paths of moving animals". J. Statistical Planning and
#' Inference 122 (2004), 43-63, using the methods of Brillinger, D.R.,
#' "Learning a potential function from a trajectory", Signal Processing
#' Letters. December (2007).
#'
#' @format A data frame with 1155 rows and 4 variables
#' @references \url{https://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf}
"seals"
#' 2d density estimate of Old Faithful data
#'
#' A 2d density estimate of the waiting and eruptions variables data
#' \link{faithful}.
#'
#' @format A data frame with 5,625 observations and 3 variables.
"faithfuld"
#' \code{colors()} in Luv space.
#'
#' All built-in \code{\link{colors}()} translated into Luv colour space.
#'
#' @format A data frame with 657 observations and 4 variables:
#' \describe{
#' \item{L,u,v}{Position in Luv colour space}
#' \item{col}{Colour name}
#' }
"luv_colours"
#' Housing sales in TX.
#'
#' Information about the housing market in Texas provided by the TAMU
#' real estate center, \url{https://www.recenter.tamu.edu/}.
#'
#' @format A data frame with 8602 observations and 9 variables:
#' \describe{
#' \item{city}{Name of MLS area}
#' \item{year,month,date}{Date}
#' \item{sales}{Number of sales}
#' \item{volume}{Total value of sales}
#' \item{median}{Median sale price}
#' \item{listings}{Total active listings}
#' \item{inventory}{"Months inventory": amount of time it would take to sell
#' all current listings at current pace of sales.}
#' }
"txhousing"
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