#' ggplot2.
#'
#' @name ggplot2
#' @docType package
#' @import plyr digest scales grid reshape2 proto gtable
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#' 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:
#'
#' \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 colour. 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)
#' }
#'
#' @docType data
#' @keywords datasets
#' @name diamonds
#' @usage data(diamonds)
#' @format A data frame with 53940 rows and 10 variables
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#' US economic time series.
#'
#' This dataset was produced from US economic time series data available from \url{http://research.stlouisfed.org/fred2}.
#'
#' \itemize{
#'   \item date.  Month of data collection
#'
#'   \item psavert, personal savings rate, \url{http://research.stlouisfed.org/fred2/series/PSAVERT/}
#'   \item pce, personal consumption expenditures, in billions of dollars, \url{http://research.stlouisfed.org/fred2/series/PCE}
#'   \item unemploy, number of unemployed in thousands, \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY}
#'   \item uempmed, median duration of unemployment, in week, \url{http://research.stlouisfed.org/fred2/series/UEMPMED}
#'   \item pop, total population, in thousands, \url{http://research.stlouisfed.org/fred2/series/POP}
#'
#' }
#'
#' @docType data
#' @keywords datasets
#' @name economics
#' @usage data(economics)
#' @format A data frame with 478 rows and 6 variables
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#' Midwest demographics.
#'
#' Demographic information of midwest counties
#'
#' The variables are as follows:
#'
#' \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'
#' }
#'
#' @docType data
#' @keywords datasets
#' @name midwest
#' @usage data(midwest)
#' @format A data frame with 437 rows and 28 variables
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#' Movie information and user ratings from IMDB.com.
#'
#' The internet movie database, \url{http://imdb.com/}, is a website devoted
#' to collecting movie data supplied by studios and fans.  It claims to be the
#' biggest movie database on the web and is run by amazon.  More about
#' information imdb.com can be found online,
#' \url{http://imdb.com/help/show_leaf?about}, including information about
#' the data collection process,
#' \url{http://imdb.com/help/show_leaf?infosource}.
#'
#' Movies were selected for inclusion if they had a known length and had been rated by at least one imdb user.  The data set contains the following fields:
#'
#' \itemize{
#'   \item title.  Title of the movie.
#'   \item year.  Year of release.
#'   \item budget.  Total budget (if known) in US dollars
#'   \item length.  Length in minutes.
#'   \item rating.  Average IMDB user rating.
#'   \item votes.  Number of IMDB users who rated this movie.
#'   \item r1-10.  Multiplying by ten gives percentile (to nearest 10\%) of users who rated this movie a 1.
#'   \item mpaa.  MPAA rating.
#'   \item action, animation, comedy, drama, documentary, romance, short.  Binary variables representing if movie was classified as belonging to that genre.
#' }
#'
#' @docType data
#' @keywords datasets
#' @usage data(movies)
#' @name movies
#' @format A data frame with 28819 rows and 24 variables
#' @references \url{http://had.co.nz/data/movies/}
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#' 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{http://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.
#'
#' \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.
#' }
#'
#' @docType data
#' @keywords datasets
#' @name mpg
#' @usage data(mpg)
#' @format A data frame with 234 rows and 11 variables
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#' 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.
#'
#' \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
#' }
#'
#' @docType data
#' @keywords datasets
#' @name msleep
#' @usage data(msleep)
#' @format A data frame with 83 rows and 11 variables
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#' Terms of 10 presidents from Eisenhower to Bush W.
#'
#' The names of each president, the start and end date of their term, and
#' their party of 10 US presidents from Eisenhower to Bush W.
#'
#' @docType data
#' @keywords datasets
#' @name presidential
#' @usage data(presidential)
#' @format A data frame with 10 rows and 4 variables
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#' 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).
#'
#' @name seals
#' @usage data(seals)
#' @docType data
#' @keywords datasets
#' @format A data frame with 1155 rows and 4 variables
#' @references \url{http://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf}
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