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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.

Author

André F. B. Menezes

Josmar Mazucheli