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documentation of package and data now also generated via roxygen2
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# -------------------------------------- | ||
# Author: Andreas Alfons | ||
# Erasmus Universiteit Rotterdam | ||
# -------------------------------------- | ||
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#' Top Gear car data | ||
#' | ||
#' @description | ||
#' The data set contains information on cars featured on the website of the | ||
#' popular BBC television show \emph{Top Gear}. | ||
#' | ||
#' @usage | ||
#' data("TopGear") | ||
#' | ||
#' @format | ||
#' A data frame with 297 observations on the following 32 variables. | ||
#' \describe{ | ||
#' \item{\code{Maker}}{factor; the car maker.} | ||
#' \item{\code{Model}}{factor; the car model.} | ||
#' \item{\code{Type}}{factor; the exact model type.} | ||
#' \item{\code{Fuel}}{factor; the type of fuel (\code{"Diesel"} or | ||
#' \code{"Petrol"}).} | ||
#' \item{\code{Price}}{numeric; the list price (in UK pounds)} | ||
#' \item{\code{Cylinders}}{numeric; the number of cylinders in the engine.} | ||
#' \item{\code{Displacement}}{numeric; the displacement of the engine (in | ||
#' cc).} | ||
#' \item{\code{DriveWheel}}{factor; the type of drive wheel (\code{"4WD"}, | ||
#' \code{"Front"} or \code{"Rear"}).} | ||
#' \item{\code{BHP}}{numeric; the power of the engine (in bhp).} | ||
#' \item{\code{Torque}}{numeric; the torque of the engine (in lb/ft).} | ||
#' \item{\code{Acceleration}}{numeric; the time it takes the car to get from | ||
#' 0 to 62 mph (in seconds).} | ||
#' \item{\code{TopSpeed}}{numeric; the car's top speed (in mph).} | ||
#' \item{\code{MPG}}{numeric; the combined fuel consuption (urban + extra | ||
#' urban; in miles per gallon).} | ||
#' \item{\code{Weight}}{numeric; the car's curb weight (in kg).} | ||
#' \item{\code{Length}}{numeric; the car's length (in mm).} | ||
#' \item{\code{Width}}{numeric; the car's width (in mm).} | ||
#' \item{\code{Height}}{numeric; the car's height (in mm).} | ||
#' \item{\code{AdaptiveHeadlights}}{factor; whether the car has adaptive | ||
#' headlights (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{AdjustableSteering}}{factor; whether the car has adjustable | ||
#' steering (\code{"no"} or \code{"standard"}).} | ||
#' \item{\code{AlarmSystem}}{factor; whether the car has an alarm system | ||
#' (\code{"no/optional"} or \code{"standard"}).} | ||
#' \item{\code{Automatic}}{factor; whether the car has an automatic | ||
#' transmission (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{Bluetooth}}{factor; whether the car has bluetooth | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{ClimateControl}}{factor; whether the car has climate control | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{CruiseControl}}{factor; whether the car has cruise control | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{ElectricSeats}}{factor; whether the car has electric seats | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{Leather}}{factor; whether the car has a leather interior | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{ParkingSensors}}{factor; whether the car has parking sensors | ||
#' (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{PowerSteering}}{factor; whether the car has power steering | ||
#' (\code{"no"} or \code{"standard"}).} | ||
#' \item{\code{SatNav}}{factor; whether the car has a satellite navigation | ||
#' system (\code{"no"}, \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{ESP}}{factor; whether the car has ESP (\code{"no"}, | ||
#' \code{"optional"} or \code{"standard"}).} | ||
#' \item{\code{Verdict}}{numeric; review score between 1 (lowest) and 10 | ||
#' (highest).} | ||
#' \item{\code{Origin}}{factor; the origin of the car maker (\code{"Asia"}, | ||
#' \code{"Europe"} or \code{"USA"}).} | ||
#' } | ||
#' | ||
#' @source | ||
#' The data were scraped from \code{http://www.topgear.com/uk/} on 2014-02-24. | ||
#' Variable \code{Origin} was added based on the car maker information. | ||
#' | ||
#' @examples | ||
#' data("TopGear") | ||
#' summary(TopGear) | ||
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"TopGear" |
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# -------------------------------------- | ||
# Author: Andreas Alfons | ||
# Erasmus Universiteit Rotterdam | ||
# -------------------------------------- | ||
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#' @name nci60 | ||
#' @aliases protein | ||
#' @aliases gene | ||
#' | ||
#' @docType data | ||
#' | ||
#' @title NCI-60 cancer cell panel | ||
#' | ||
#' @description | ||
#' The data set is a pre-processed version of the NCI-60 cancer cell panel as | ||
#' used in Alfons, Croux & Gelper (2013). One observation was removed since | ||
#' all values in the gene expression data were missing. | ||
#' | ||
#' @usage | ||
#' data("nci60") | ||
#' | ||
#' @format | ||
#' Protein and gene expression data on 59 observations are stored in two | ||
#' separate matrices: | ||
#' \describe{ | ||
#' \item{\code{protein}}{a matrix containing protein expressions based on | ||
#' antibodies (162 variables), acquired via reverse-phase protein lysate | ||
#' arrays and log2 transformed.} | ||
#' \item{\code{gene}}{a matrix containing gene expression data (22283 | ||
#' variables), obtained with an Affymetrix HG-U133A chip and normalized | ||
#' with the GCRMA method.} | ||
#' } | ||
#' | ||
#' @source | ||
#' The original data were downloaded from | ||
#' \url{https://discover.nci.nih.gov/cellminer/} on 2012-01-27. They can be | ||
#' obtained from \url{https://github.com/aalfons/nci60}, together with our | ||
#' script for pre-processing. | ||
#' | ||
#' @references | ||
#' Reinhold, W.C., Sunshine, M., Liu, H., Varma, S., Kohn, K.W., Morris, J., | ||
#' Doroshow, J. and Pommier, Y. (2012) CellMiner: A Web-Based Suite of Genomic | ||
#' and Pharmacologic Tools to Explore Transcript and Drug Patterns in the | ||
#' NCI-60 Cell Line Set. \emph{Cancer Research}, \bold{72}(14), 3499--3511. | ||
#' | ||
#' Alfons, A., Croux, C. and Gelper, S. (2013) Sparse least trimmed squares | ||
#' regression for analyzing high-dimensional large data sets. \emph{The Annals | ||
#' of Applied Statistics}, \bold{7}(1), 226--248. | ||
#' | ||
#' @examples | ||
#' \dontrun{ | ||
#' | ||
#' # load data | ||
#' data("nci60") | ||
#' # define response variable | ||
#' y <- protein[, 92] | ||
#' # screen most correlated predictor variables | ||
#' correlations <- apply(gene, 2, corHuber, y) | ||
#' keep <- partialOrder(abs(correlations), 100, decreasing = TRUE) | ||
#' X <- gene[, keep] | ||
#' } | ||
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NULL |
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# -------------------------------------- | ||
# Author: Andreas Alfons | ||
# Erasmus Universiteit Rotterdam | ||
# -------------------------------------- | ||
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#' @name robustHD-package | ||
#' | ||
#' @docType package | ||
#' | ||
#' @title \packageTitle{robustHD} | ||
#' | ||
#' @description \packageDescription{robustHD} | ||
#' | ||
#' @details | ||
#' The DESCRIPTION file: | ||
#' \packageDESCRIPTION{robustHD} | ||
#' \packageIndices{robustHD} | ||
#' | ||
#' @references | ||
#' Alfons (2021) \pkg{robustHD}: An \R package for robust regression with | ||
#' high-dimensional data. \emph{Journal of Open Source Software}, \bold{6}(67), | ||
#' 3786. \doi{10.21105/joss.03786}. | ||
#' | ||
#' @author | ||
#' \packageAuthor{robustHD} | ||
#' | ||
#' Maintainer: \packageMaintainer{robustHD} | ||
#' | ||
#' @keywords package | ||
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NULL |
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