ais {MoEClust} | R Documentation |
Data on 102 male and 100 female athletes collected at the Australian Institute of Sport, courtesy of Richard Telford and Ross Cunningham.
data(ais)
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)
The data have been made publicly available in connection with the book by Cook and Weisberg (1994).
Cook, R. D. and Weisberg, S. (1994), An Introduction to Regression Graphics. John Wiley & Sons, New York, NY, USA.
data(ais, package="MoEClust")
pairs(ais[,c(3:7)], col=as.numeric(ais$sex), main = "AIS data")
apply(ais[,c(3:7)], 2, summary)