ais {SkewHyperbolic} | 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 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)
[Package SkewHyperbolic version 0.4-2 Index]