adg: Dataset related to average daily growth performance and...
In abn: Modelling Multivariate Data with Additive Bayesian Networks
adg R Documentation
Dataset related to average daily growth performance and abattoir findings in pigs commercial production.
Description
The case study dataset is about growth performance and abattoir findings in pigs commercial production in a selected set of 15 Canadian farms collected in March 1987.
Usage
adg
Format
An adapted data frame of the original dataset which consists of 341 observations of 8 variables and a grouping variable (farm).
- AR
presence of atrophic rhinitis.
- pneumS
presence of moderate to severe pneumonia.
- female
sex of the pig (1=female, 0=castrated).
- livdam
presence of liver damage (parasite-induced white spots).
- eggs
presence of fecal/gastrointestinal nematode eggs at time of slaughter.
- wormCount
count of nematodes in small intestine at time of slaughter.
- age
days elapsed from birth to slaughter (days).
- adg
average daily weight gain (grams).
- farm
farm ID.
Details
When using the data to fit an additive Bayesian network,
the variables AR, pneumS, female, livdam,
eggs are considered binomial, wormcount Poisson,
age and adg Gaussian.
The variable farm can be used to adjust for grouping.
References
Kratzer, G., Lewis, F.I., Comin, A., Pittavino, M. and Furrer, R. (2019). "Additive Bayesian Network Modelling with the R Package abn". arXiv preprint arXiv:1911.09006.
Dohoo, Ian Robert, Wayne Martin, and Henrik Stryhn. Veterinary epidemiologic research. No. V413 DOHv. Charlottetown, Canada: AVC Incorporated, 2003.
abn documentation built on Nov. 3, 2023, 5:08 p.m.
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| adg | R Documentation |
Dataset related to average daily growth performance and abattoir findings in pigs commercial production.
Description
The case study dataset is about growth performance and abattoir findings in pigs commercial production in a selected set of 15 Canadian farms collected in March 1987.
Usage
adg
Format
An adapted data frame of the original dataset which consists of 341 observations of 8 variables and a grouping variable (farm).
- AR
presence of atrophic rhinitis.
- pneumS
presence of moderate to severe pneumonia.
- female
sex of the pig (1=female, 0=castrated).
- livdam
presence of liver damage (parasite-induced white spots).
- eggs
presence of fecal/gastrointestinal nematode eggs at time of slaughter.
- wormCount
count of nematodes in small intestine at time of slaughter.
- age
days elapsed from birth to slaughter (days).
- adg
average daily weight gain (grams).
- farm
farm ID.
Details
When using the data to fit an additive Bayesian network,
the variables AR, pneumS, female, livdam,
eggs are considered binomial, wormcount Poisson,
age and adg Gaussian.
The variable farm can be used to adjust for grouping.
References
Kratzer, G., Lewis, F.I., Comin, A., Pittavino, M. and Furrer, R. (2019). "Additive Bayesian Network Modelling with the R Package abn". arXiv preprint arXiv:1911.09006. Dohoo, Ian Robert, Wayne Martin, and Henrik Stryhn. Veterinary epidemiologic research. No. V413 DOHv. Charlottetown, Canada: AVC Incorporated, 2003.
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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