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 13 variables.
[, 1]
sex
sex
[, 2]
sport
sport
[, 3]
rcc
red cell count
[, 4]
wcc
white cell count
[, 5]
Hc
Hematocrit
[, 6]
Hg
Hemoglobin
[, 7]
Fe
plasma ferritin concentration
[, 8]
bmi
body mass index, weight/(height)<c2><b2>
[, 9]
ssf
sum of skin folds
[,10]
Bfat
body fat percentage
[,11]
lbm
lean body mass
[,12]
Ht
height (cm)
[,13]
Wt
weight (Kg)
Source
Cook and Weisberg (1994) via the package sn. This help file is a
modification of the help file from the package sn.
References
Cook and Weisberg (1994),
An Introduction to Regression Graphics.
John Wiley & Sons, New York.
Examples
data(ais)
Fe <- ais$Fe
### Not enough data to find starting values
### Use default parameter values as starting values
FeFit <- skewhypFit(Fe, startValues = "US", paramStart = c(0,1,1,1))
### Ferritin must always be non-negative
### Probability of negative values is small for fitted distribution
pskewhyp(0, param = FeFit$param)