R/data.R

In rasmusrhl/epitable: Create HTML Tables in the Style Used in Epidemiological Papers

#' Prices of 50,000 round cut diamonds. From the ggplot2 package.
#'
#' A dataset containing the prices and other attributes of almost 54,000
#'  diamonds. The variables are as follows:
#'
#' @format A data frame with 53940 rows and 10 variables:
#' \describe{
#'   \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{color}{diamond colour, from J (worst) to D (best)}
#'   \item{clarity}{a measurement of how clear the diamond is (I1 (worst), SI2,
#'     SI1, VS2, VS1, VVS2, VVS1, 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)}
#' }
"example_data"
#' The titanic dataset
#'
#' The titanic dataset from the kaggle competition, but with labels.
#'
#' @format A data frame with 891 rows and 12 variables:
#' \describe{
#'   \item{PassengerId}{}
#'   \item{Survived}{}
#'   \item{Pclass}{}
#'   \item{Name}{}
#'   \item{Sex}{}
#'   \item{Age}{}
#'   \item{SibSp}{}
#'   \item{Parch}{}
#'   \item{Ticket}{}
#'   \item{Fare}{}
#'   \item{Cabin}{}
#'   \item{Embarked}{}
#' }
"titanic"