diamonds_simple: Simplified diamonds data

In jfrench/bayesutils: Utilities for Bayesian Analysis

Simplified diamonds data

Description

This data set contains 320 observations from the well-known diamonds data set in the ggplot2 package. 40 observations were randomly selected from each of the 8 clarity levels. Furthermore, a factor variable, inclusions, has been added that indicates whether each observation has a noticeable inclusion at 10x magnification based on the clarity variable.

Usage

data(diamonds_simple)

Format

A data frame with 360 rows and 11 variables

price

price in US dollars ($326–$18,823)

carat

weight of the diamond (0.2–5.01)

cut

quality of the cut (Fair, Good, Very Good, Premium, Ideal)

color

diamond colour, from D (best) to J (worst)

clarity

a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))

x

length in mm (0–10.74)

y

width in mm (0–58.9)

z

depth in mm (0–31.8)

depth

total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79)

table

width of top of diamond relative to widest point (43–95)

inclusions

minor or noticeable inclusions. "noticeable" if clarity is I1, S1, or S2. Otherwise, "minor".

Source

ggplot2 package via http://www.diamondse.info/

jfrench/bayesutils documentation built on April 10, 2023, 6:28 p.m.