R/data.R

In twoway: Analysis of Two-Way Tables

#' Data on reaction times for various tasks and topics
#'
#' A demonstration 3 x 4 two-way table composed of reaction times for
#' tasks varying in difficulty, with content on different topics.
#'
#' @name taskRT
#' @docType data
#' @keywords data
#' @format A matrix of 3 rows and 4 columns, where the rows are the task difficulty levels and the columns are the the topics.
#'        The cell values are average reaction times (in sec.). The matrix has a \code{responseName} attribute, \code{"RT"}
#' @examples
#' data(taskRT)
#' twoway(taskRT)
#' twoway(taskRT, method="median")
NULL

#'  Reaction times for T/F judgments
#'
#' A demonstration 3 x 3 two-way table composed of reaction times for
#' three subjects making T/F judgments on three types of sentences
#'
#' @name sentRT
#' @docType data
#' @keywords data
#' @references Friendly, M. (1991). \emph{SAS System for Statistical Graphics} Cary, NC: SAS Institute, Table 7.2
#' @examples
#' data(sentRT)
#' twoway(sentRT)
NULL


#' Scores for 5 subjects after being given each of 4 drugs
#'
#' The original source is Winer (1971), p. 268.  This was used as an example in Friendly (1991).
#'
#' @name drugs
#' @docType data
#' @keywords data
#' @references Friendly, M. (1991). \emph{SAS System for Statistical Graphics} Cary, NC: SAS Institute, Output 7.28
#' @examples
#' data(drugs)
#' twoway(drugs)
NULL


#' Mean monthly temperatures in Arizona
#'
#' This is the data set used by Tukey (1977) for the initial examples of twoway tables
#' @name Arizona
#' @docType data
#' @keywords data
#' @format a matrix of 7 rows (Month) and 3 columns (City) where the value is mean
#'       monthly temperature in degrees F. The matrix has a \code{responseName} attribute, \code{"Temperature"}
#' @references Tukey, J. W. (1977). \emph{Exploratory Data Analysis}, Reading MA: Addison-Wesley. Exhibit 1 of chapter 10, p. 333
#' @examples
#' data(Arizona)
#' (AR.2way <-twoway(Arizona, method="median"))
#'
#' ## plot(AR.2way)
NULL

#' Counts of an insect for the combinations of 4 treatments and 6 areas of a field
#'
#' Counts of numbers of an insect, \emph{Leptinotarsa decemlineata} (the
#' Colorado potato beetle), each of which is the sum for two plots treated
#' alike, for all combinations of 4 treatments and 6 areas of the field chosen
#' to be relatively homogeneous.
#'
#' These data are used in Tukey (1977) Exhibit 1 of Ch 11 and throughout the chapter as examples of
#' median polish. Because the data are counts, either a sqrt or log transformation would be
#' reasonable.

#' @name insectCounts
#' @docType data
#' @keywords data
#' @format a 4 x 6 matrix, where the rows are treatments and the columns are areas of a field.
#' @references Tukey, J. W. (1977). \emph{Exploratory Data Analysis}, Reading MA: Addison-Wesley. Exhibit 1 of chapter 111
#' @examples
#' insect.2way <- twoway(insectCounts, method="median")
#' print(insect.2way, digits=2)
#'
#' plot(insect.2way)
#' plot(insect.2way, which="diagnose")
#'
#' # try sqrt transformation
#' insect.sqrt <- twoway(sqrt(insectCounts), method="median")
#' print(insect.sqrt, digits=2)
#'
#' plot(insect.sqrt)
#' plot(insect.sqrt, which="diagnose")

NULL

#' Number of U.S. housing starts by month for the years 1965 -- 1973
#'
#' @name hstart
#' @docType data
#' @keywords data
#' @format a 9 x 12 matrix, where the entries are the number of housing starts, in thousands
#' @references Becker, Chambers & Wilks (1988), \emph{The New S Language}, Brooks Cole.
#'             Friendly, M. (1991). \emph{SAS System for Statistical Graphics} Cary, NC: SAS Institute, p.380
#' @examples
#' hstart.2way <- twoway(hstart, method="mean")
#' plot(hstart.2way)

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