ais {MoEClust} | R Documentation |
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)