Learn R Programming

EMMIXuskew (version 0.11-6)

ais: Australian Institute of Sports (AIS) data

Description

Data on 102 male and 100 female athletes collected at the Australian Institute of Sport.

Usage

data(ais)

Arguments

Format

A data frame with 202 observations (rows) on the following 14 variables (columns).
Sex
0 = male or 1 = female
Ht
Height in cm
Wt
Weight in kg
LBM
Lean body mass
RCC
Red cell count
WCC
White cell count
Hc
Hematpcrit
Hg
Hematocrit
Ferr
Plasma ferritin concentration
BMI
Body mass index = weight / (height^2)
SSF
sum of skin folds
Bfat
Percent body fat
Label
case labels: f-b_ball f-field f-gym f-netball f-row f-swim f-t_400m f-t_sprnt f-tennis m-b_ball m-field m-row m-swim m-t_400m m-t_sprnt m-tennis m-w_polo
Sport
Sport: b_ball field gym netball row swim t_400m t_sprnt tennis w_polo

Source

Richard Telford and Ross Cunningham, Australian National University.

References

S. Weisberg (2005). Applied Linear Regression, 3rd edition. New York: Wiley, Section 6.4

Examples

Run this code
data(ais)
pairs(ais[,2:12], main = "AIS Data", pch = 21, 
    bg = c("red", "blue")[unclass(factor(ais$Sex))], upper.panel=NULL)
legend(0.8, 0.8,legend=c("male", "female"), pt.bg = c("red", "blue"), pch=21)

Run the code above in your browser using DataLab