ais: Australian Institute of Sport data

In MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component

Australian Institute of Sport data

Description

Data on 102 male and 100 female athletes collected at the Australian Institute of Sport, courtesy of Richard Telford and Ross Cunningham.

Usage

data(ais)

Format

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

sex

categorical, levels = female, male

sport

categorical, levels = B_Ball, Field, Gym, Netball, Row, Swim, T_400m, Tennis, T_Sprnt, W_Polo

RCC

red cell count (numeric)

WCC

white cell count (numeric)

Hc

Hematocrit (numeric)

Hg

Hemoglobin (numeric)

Fe

plasma ferritin concentration (numeric)

BMI

body mass index: Wt/(Ht)^2 (numeric)

SSF

sum of skin folds (numeric)

Bfat

body fat percentage (numeric)

LBM

lean body mass (numeric)

Ht

height, cm (numeric)

Wt

weight, kg (numeric)

Details

The data have been made publicly available in connection with the book by Cook and Weisberg (1994).

References

Cook, R. D. and Weisberg, S. (1994), An Introduction to Regression Graphics. Volume 405 of Wiley Series in Probability and Statistics, New York, NY, USA: John Wiley & Sons.

Examples

data(ais, package="MoEClust")
pairs(ais[,c(3:7)], col=as.numeric(ais$sex), main = "AIS data")
apply(ais[,c(3:7)], 2, summary)

MoEClust documentation built on May 29, 2024, 6:44 a.m.