| ais | R Documentation | 
Data on 102 male and 100 female athletes collected at the Australian Institute of Sport, courtesy of Richard Telford and Ross Cunningham.
data(ais)
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) | 
Cook and Weisberg (1994) via the package sn. This help file is a modification of the help file from the package sn.
Cook and Weisberg (1994), An Introduction to Regression Graphics. John Wiley & Sons, New York.
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)
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