MoEClust (version 1.4.1)

ais: 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:

• [,1] sex - categorical, levels = female, male

• [,2] sport - categorical, levels = B_Ball, Field, Gym, Netball, Row, Swim, T_400m, Tennis, T_Sprnt, W_Polo

• [,3] RCC - red cell count (numeric)

• [,4] WCC - white cell count (numeric)

• [,5] Hc - Hematocrit (numeric)

• [,6] Hg - Hemoglobin (numeric)

• [,7] Fe - plasma ferritin concentration (numeric)

• [,8] BMI - body mass index: Wt/(Ht)^2 (numeric)

• [,9] SSF - sum of skin folds (numeric)

• [,10] Bfat - body fat percentage (numeric)

• [,11] LBM - lean body mass (numeric)

• [,12] Ht - height, cm (numeric)

• [,13] 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. John Wiley & Sons, New York.

Examples

# NOT RUN {
data(ais, package="MoEClust")
pairs(ais[,c(3:7)], col=as.numeric(ais$sex), main = "AIS data")
apply(ais[,c(3:7)], 2, summary)
# }