fat {UsingR} | R Documentation |
Body measurements to predict percentage of body fat in males
Description
A data set containing many physical measurements of 252 males. Most of the variables can be measured with a scale or tape measure. Can they be used to predict the percentage of body fat? If so, this offers an easy alternative to an underwater weighing technique.
Usage
data(fat)
Format
A data frame with 252 observations on the following 19 variables.
- case
Case Number
- body.fat
Percent body fat using Brozek's equation, 457/Density - 414.2
- body.fat.siri
Percent body fat using Siri's equation, 495/Density - 450
- density
Density (gm/cm
\mbox{\textasciicircum}
2)- age
Age (yrs)
- weight
Weight (lbs)
- height
Height (inches)
- BMI
Adiposity index = Weight/Height
\mbox{\textasciicircum}
2 (kg/m\mbox{\textasciicircum}
2)- ffweight
Fat Free Weight = (1 - fraction of body fat) * Weight, using Brozek's formula (lbs)
- neck
Neck circumference (cm)
- chest
Chest circumference (cm)
- abdomen
Abdomen circumference (cm) "at the umbilicus and level with the iliac crest"
- hip
Hip circumference (cm)
- thigh
Thigh circumference (cm)
- knee
Knee circumference (cm)
- ankle
Ankle circumference (cm)
- bicep
Extended biceps circumference (cm)
- forearm
Forearm circumference (cm)
- wrist
Wrist circumference (cm) "distal to the styloid processes"
Details
From the source:
“The data are as received from Dr. Fisher. Note, however, that there are a few errors. The body densities for cases 48, 76, and 96, for instance, each seem to have one digit in error as can be seen from the two body fat percentage values. Also note the presence of a man (case 42) over 200 pounds in weight who is less than 3 feet tall (the height should presumably be 69.5 inches, not 29.5 inches)! The percent body fat estimates are truncated to zero when negative (case 182).”
Source
This data set comes from the collection of the Journal of Statistics Education at http://jse.amstat.org/datasets/fat.txt. The data set was contributed by Roger W. Johnson.
References
The source of the data is attributed to Dr. A. Garth Fisher, Human Performance Research Center, Brigham Young University, Provo, Utah 84602,
Examples
data(fat)
f = body.fat ~ age + weight + height + BMI + neck + chest + abdomen +
hip + thigh + knee + ankle + bicep + forearm + wrist
res = lm(f, data=fat)
summary(res)