nutrient: Women daily nutrient intake
In lcopula: Liouville Copulas
nutrient R Documentation
Women daily nutrient intake
Description
The nutrient data frame consists of quintuples consisting of four day measurements for intake of calcium, iron, protein, vitamin A and C from women aged 25 to 50 in the United States as part of the "Continuing Survey of Food Intakes of Individuals" program. The processed data has
737 measurements from a cohort study of the United States Department of Agriculture (USDA) and it is available online from the University of Pennsylvania repository.
Format
This data frame contains the following columns:
- id
A numeric vector containing the identification of the participant.
- calcium
A numeric vector containing measured calcium.
- iron
A numeric vector containing iron measurements.
- protein
A numeric vector containing protein measurements.
- vitamin.a
A numeric vector containing vitamin A measurements.
- vitamin.c
A numeric vector containing vitamin C measurements.
Source
The survey data was processed by Dr. Andrew Wiesner for a course on multivariate statistics at The Pennsylvania State University.
References
Genest, C., Neslehova, J., Quessy, J.-F. (2012) Tests of symmetry for bivariate copulas. Annals of the Institute of Statistical Mathematics, 64(4), 811–834.
Genest, C. and Neslehova, J. G. (2013) Assessing and Modeling Asymmetry in Bivariate Continuous Data. In P. Jaworski, F. Durante, & W. K. Hardle (Eds.), Copulae in Mathematical and Quantitative Finance, Lecture Notes in Statistics, 91–114, Springer: Berlin Heidelberg.
Li, B., Genton, M. G. (2013) Nonparametric identification of copula structures. Journal of the American Statistical Association, 108(502), 666–675.
lcopula documentation built on April 21, 2023, 9:07 a.m.
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| nutrient | R Documentation |
Women daily nutrient intake
Description
The nutrient data frame consists of quintuples consisting of four day measurements for intake of calcium, iron, protein, vitamin A and C from women aged 25 to 50 in the United States as part of the "Continuing Survey of Food Intakes of Individuals" program. The processed data has
737 measurements from a cohort study of the United States Department of Agriculture (USDA) and it is available online from the University of Pennsylvania repository.
Format
This data frame contains the following columns:
- id
A numeric vector containing the identification of the participant.
- calcium
A numeric vector containing measured calcium.
- iron
A numeric vector containing iron measurements.
- protein
A numeric vector containing protein measurements.
- vitamin.a
A numeric vector containing vitamin A measurements.
- vitamin.c
A numeric vector containing vitamin C measurements.
Source
The survey data was processed by Dr. Andrew Wiesner for a course on multivariate statistics at The Pennsylvania State University.
References
Genest, C., Neslehova, J., Quessy, J.-F. (2012) Tests of symmetry for bivariate copulas. Annals of the Institute of Statistical Mathematics, 64(4), 811–834.
Genest, C. and Neslehova, J. G. (2013) Assessing and Modeling Asymmetry in Bivariate Continuous Data. In P. Jaworski, F. Durante, & W. K. Hardle (Eds.), Copulae in Mathematical and Quantitative Finance, Lecture Notes in Statistics, 91–114, Springer: Berlin Heidelberg.
Li, B., Genton, M. G. (2013) Nonparametric identification of copula structures. Journal of the American Statistical Association, 108(502), 666–675.
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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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