R/datasets.R

In cdtRggplot2: cdtRggplot2

#' Beauty data set
#' 
#' This data set is from a study where researchers were 
#' interested in whether a lecturers' attractiveness affected 
#' their course evaluation. This is a cleaned version of the
#' data set and contains the following variables:
#' \describe{
#' \item{evaluation}{the questionnaire result}
#' \item{tenured}{does the lecturer have tenure; 
#' 1 == Yes. In R, this value is continuous}
#' \item{minority}{does the lecturer come from an ethnic minority (in the USA)}
#' \item{age}{the lecturers' age}
#' \item{gender}{a factor: Female or Male}
#' \item{students}{number of students in the class}
#' \item{beauty}{each of the lecturers' pictures was rated by 
#' six undergraduate students: three women and three men. 
#' The raters were told to use a 10 (highest) to 1 rating scale, 
#' to concentrate on the physiognomy of the
#' professor in the picture, to make their ratings independent of age, and to keep 5 in mind as an average. The scores were then normalised.}
#' }
#' @name Beauty
#' @docType data
#' @usage data(Beauty)
#' @return A data frame
#'@keywords datasets
NULL

#' Aphids data set
#' 
#' The is data described in Matis et al, 2008. The data set consists of five observations on cotton aphid counts on twenty randomly chosen leaves in each plot, for twenty-seven treatment-block combinations. The data were recorded in July 2004 in Lamesa, Texas. The treatments consisted of three nitrogen levels (blanket, variable and zero), three irrigation levels (low, medium and high) and three blocks, each being a distinct area. Irrigation treatments were randomly assigned within each block as whole plots. Nitrogen treatments were randomly assigned within each whole block as split plots. . Note that the sampling times are $t$=0, 1.14, 2.29, 3.57 and 4.57 weeks (i.e. every 7 to 8 days).  
#' \describe{
#' \item{Time}{Sampling time (in weeks). This has been slightly simplified}
#' \item{Water}{Water level at that particular plot: Low, Medium and High}
#' \item{Nitrogen}{Nitrogen level at that plot: Blanket, Variable and Zero}
#' \item{Block}{The plot block: 1, 2 or 3}
#' \item{Aphids}{The number of aphids counted}
#' }
#' @name aphids
#' @docType data
#' @usage data(aphids)
#' @return A data frame
#'@keywords datasets
NULL

#' Google data set
#' 
#' The google data set
#' \describe{
#' \item{Rank}{Site rank (in terms of users)}
#' \item{Site}{Site name}
#' \item{Category}{Site classification}
#' \item{Users}{Approximate number of users}
#' \item{Views}{Approximate page views}
#' \item{Advertising}{Does the site have advertising}
#' }
#' @name google
#' @docType data
#' @usage data(google)
#' @return A data frame
#'@keywords datasets
NULL

#' Dummy cell data set
#' 
#' Example cell data set. An experiment was conducted involving two cell types (Case and Control) and two treatments (A and B). The data is stored as a data frame:
#' \describe{
#' \item{values}{measurements from the experiment}
#' \item{treatment}{either A or B}
#' \item{type}{Case or Control}
#' }
#' @name cell_data
#' @docType data
#' @usage data(cell_data)
#' @return A data frame
#'@keywords datasets
NULL