SkewHyperbolic (version 0.4-0)

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 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)\(^2\)
[, 9]	ssf	sum of skin folds
[,10]	Bfat	body fat percentage
[,11]	lbm	lean body mass
[,12]	Ht	height (cm)
[,13]	Wt	weight (Kg)

References

Cook and Weisberg (1994), An Introduction to Regression Graphics. John Wiley & Sons, New York.

Examples

# NOT RUN {
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)
# }