ais: Australian Institute of Sport data

aisR 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 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)

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)

SkewHyperbolic documentation built on Nov. 26, 2023, 1:06 a.m.