The body fat percentage of individuals assisted in a public hospital in Curitiba, Paraná, Brasil.
Usage
data(bodyfat, package = "unitquantreg")
Format
A data.frame
with 298 observations and 9 columns:
arms
: Arms fat percentage.legs
: Legs fat percentage.body
: Body fat percentage.android
: Android fat percentage.gynecoid
: Ginecoid fat percentage.bmi
: Body mass index - 24.71577.age
: Age - 46.00.sex
: Sex of individual. Female or male.ipaq
: Factor variable indicating the sedentary, insufficiently active or active.
References
Petterle, R. R., Bonat, W. H., Scarpin, C. T., Jonasson, T., and Borba, V. Z. C., (2020). Multivariate quasi-beta regression models for continuous bounded data. The International Journal of Biostatistics, 1--15, (preprint).
Mazucheli, J., Leiva, V., Alves, B., and Menezes A. F. B., (2021). A new quantile regression for modeling bounded data under a unit Birnbaum-Saunders distribution with applications in medicine and politics. Symmetry, 13(4) 1--21.