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ggplot2.r
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#' ggplot2.
#'
#' @name ggplot2
#' @docType package
#' @import plyr digest scales grid reshape2 proto gtable
NULL
#' 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
NULL
#' 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
NULL
#' 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
NULL
#' 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/}
NULL
#' 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
NULL
#' 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
NULL
#' 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
NULL
#' 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}
NULL