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#' mtcars2
#'
#' An extended version of \code{\link[datasets]{mtcars}} data set.
#'
#' @format a data.frame with 32 rows and 19 columns
#'
#' \tabular{rlll}{
#' [, 1] \tab make \tab Manufacturer name \tab parted out from \code{rownames(mtcars)} \cr
#' [, 2] \tab model \tab \tab parted out from \code{rownames(mtcars)} \cr
#' [, 3] \tab mpg \tab miles per (US) gallon \tab identical to mtcars$mpg \cr
#' [, 4] \tab disp \tab Displacement (cu.in.) \tab identical to mtcars$disp \cr
#' [, 5] \tab hp \tab Gross horsepower \tab identical to mtcars$hp \cr
#' [, 6] \tab drat \tab Rear axle ratio \tab identical to mtcars$drat \cr
#' [, 7] \tab wt \tab weight (1000 lbs) \tab identical to mtcars$wt \cr
#' [, 8] \tab qsec \tab 1/4 mile time \tab identical to mtcars$qsec \cr
#' [, 9] \tab cyl \tab number of cylinders \tab identical to mtcars$cyl \cr
#' [, 10] \tab cyl_character \tab \tab \cr
#' [, 11] \tab cyl_factor \tab \tab \cr
#' [, 12] \tab vs \tab Engine (0 = V-shaped, 1 = straight) \tab identical to mtcars$vs \cr
#' [, 13] \tab engine \tab \tab \cr
#' [, 14] \tab am \tab Transmission (0 = automatic, 1 = manual) \tab identical to mtcars$am \cr
#' [, 15] \tab transmission \tab \tab \cr
#' [, 16] \tab gear \tab Number of forward gears \tab identical to mtcars$gear \cr
#' [, 17] \tab gear_factor \tab \tab \cr
#' [, 18] \tab carb \tab Number of carburetors \tab identical to mtcars$carb \cr
#' [, 19] \tab test_date \tab fictitious testing date \tab \cr
#' }
#'
#' @seealso \code{vignette("qwraps2-data-sets", package = "qwraps2")} for
#' details on the construction of the data set.
"mtcars2"
#' pefr
#'
#' Peak expiratory flow rate data
#'
#' Peak expiratory flow rate (pefr) data is used for examples within the qwraps2
#' package. The data has been transcribed from Bland (1986).
#'
#' \dQuote{The sample comprised colleagues and family of J.M.B. chosen to give a
#' wide range of PEFR but in no way representative of any defined population.
#' Two measurements were made with a Wright peak flow meter and two with a mini
#' Wright meter, in random order. All measurements were taken by J.M.B., using
#' the same two instruments. (These data were collected to demonstrate the
#' statistical method and provide no evidence on the comparability of these two
#' instruments.) We did not repeat suspect readings and took a single reading as
#' our measurement of PEFR. Only the first measurement by each method is used to
#' illustrate the comparison of methods, the second measurements being used in
#' the study of repeatability.}
#'
#' @format a data frame with four columns
#' \tabular{rll}{
#' [, 1] \tab subject \tab id number \cr
#' [, 2] \tab measurement \tab first or second \cr
#' [, 3] \tab meter \tab \dQuote{Wright peak flow meter} or \dQuote{Mini Write peak flow meter} \cr
#' [, 4] \tab pefr \tab peak expiratory flow rate (liters / min) \cr
#' }
#'
#' @seealso \code{vignette('qwraps2-data-sets', package = 'qwraps2')} for
#' details on the construction of the data set.
#'
#' @references
#'
#' Bland, J. Martin, and Douglas G Altman. "Statistical methods for assessing
#' agreement between two methods of clinical measurement." The lancet 327, no. 8476
#' (1986): 307-310.
#'
"pefr"
#' Spambase
#'
#' Classifying Email as Spam or Non-Spam
#'
#' @format a data.frame with 4601 rows, 58 columns; 57 features and 0/1
#' indicator for spam
#'
#' Used under CC BY 4.0 license.
#'
#' @seealso \code{vignette("qwraps2-data-sets", package = "qwraps2")} for
#' details on the construction of the data set.
#'
#' @references
#' Hopkins,Mark, Reeber,Erik, Forman,George, and Suermondt,Jaap. (1999). Spambase. UCI Machine Learning Repository. https://doi.org/10.24432/C53G6X.
#'
"spambase"
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