sports: The Australian Athletes Data

In DPpackage: Bayesian Nonparametric Modeling in R

Description

This data set consider information from 202 elite Australian athletes who trained at the Australian Institute of Sport. The members of the sample participate in a number of different sports and are about equally split between men and women.

Usage

data(sports)

Format

A data frame with 202 observations on the following 13 variables.

gender

a factor with levels female and male

sport

a factor with levels B_Ball, Field, Gym, Netball, Row, Swim, T_400m, T_Sprnt, Tennis, and W_Polo

rcc

a numeric vector giving the red cell count

wcc

a numeric vector giving the white cell count

Hc

a numeric vector giving the Hematocrit

Hg

a numeric vector giving the Hemoglobin level

Fe

a numeric vector giving the plasma ferritin concentration

bmi

a numeric vector giving the body mass index, weight/(height)**2

ssf

a numeric vector giving the sum of skin folds

Bfat

a numeric vector giving the body fat percentage

lbm

a numeric vector giving the lean body mass

Ht

a numeric vector giving the height (cm)

Wt

a numeric vector giving the weight (Kg)

Source

Cook and Weisberg (1994), An Introduction to Regression Graphics. John Wiley & Sons, New York.

References

Cook and Weisberg (1994), An Introduction to Regression Graphics. John Wiley & Sons, New York.

Examples

data(sports)
## maybe str(sports) ; plot(sports) ...

Example output

 
DPpackage 1.1-7.4
 
Copyright (C) 2006 - 2012, Alejandro Jara
Department of Statistics
P.U. Catolica de Chile
 
Support provided by Fondecyt
11100144 grant.
 

DPpackage documentation built on May 1, 2019, 10:23 p.m.