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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