FEV: Forced Expiratory Volume
In coneproj: Primal or Dual Cone Projections with Routines for Constrained Regression
FEV R Documentation
Forced Expiratory Volume
Description
This data set consists of 654 observations on children aged 3 to 19. Forced Expiratory Volume (FEV), which is a measure of lung capacity, is the variable in interest. Age and height are two continuous predictors. Sex and smoke are two categorical predictors.
Usage
data(FEV)
Format
A data frame with 654 observations on the following 5 variables.
ageAge of the 654 children.
FEVForced expiratory volume(liters).
heightHeight(inches).
sexFemale is 0. Male is 1.
smokeNonsmoker is 0. Smoker is 1.
Source
Rosner, B. (1999) Fundamentals of Biostatistics, 5th Ed., Pacific Grove, CA: Duxbur.
Michael J. Kahn (2005) An Exhalent Problem for Teaching Statistics Journal of Statistics Education Volume 13, Number 2.
coneproj documentation built on Nov. 5, 2025, 6:08 p.m.
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| FEV | R Documentation |
Forced Expiratory Volume
Description
This data set consists of 654 observations on children aged 3 to 19. Forced Expiratory Volume (FEV), which is a measure of lung capacity, is the variable in interest. Age and height are two continuous predictors. Sex and smoke are two categorical predictors.
Usage
data(FEV)Format
A data frame with 654 observations on the following 5 variables.
ageAge of the 654 children.
FEVForced expiratory volume(liters).
heightHeight(inches).
sexFemale is 0. Male is 1.
smokeNonsmoker is 0. Smoker is 1.
Source
Rosner, B. (1999) Fundamentals of Biostatistics, 5th Ed., Pacific Grove, CA: Duxbur.
Michael J. Kahn (2005) An Exhalent Problem for Teaching Statistics Journal of Statistics Education Volume 13, Number 2.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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