chickenk: Veterinary epidemiological study to assess the risk factors...
In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences
Description
Usage
Format
Source
Examples
Description
This data set contains information about potential risk factors for losses in broiler chickens
Usage
1
Format
A list with 5 components:
- mortality
a data frame with 351 observations and 4 variables which describe the losses (dependent dataset Y)
- FarmStructure
a data frame with 351 observations and 5 variables which describe the farm structure (explanatory dataset)
- OnFarmHistory
a data frame with 351 observations and 4 variables which describe the flock characteristics at placement (explanatory dataset)
- FlockCharacteristics
a data frame with 351 observations and 6 variables which describe the flock characteristics during the rearing period (explanatory dataset)
- CatchingTranspSlaught
a data frame with 351 observations and 5 variables which describe the transport, lairage conditions, slaughterhouse and inspection features (explanatory dataset)
Source
Lupo C., le Bouquin S., Balaine L., Michel V., Peraste J., Petetin I., Colin P. \& Chauvin C. (2009) Feasibility of screening broiler chicken flocks for risk markers as an aid for meat inspection. Epidemiology and Infection, 137, 1086-1098
Examples
1
2
data(chickenk)
kta1 <- ktab.list.df(chickenk)
ade4 documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Format Source Examples
Description
This data set contains information about potential risk factors for losses in broiler chickens
Usage
1 |
Format
A list with 5 components:
- mortality
a data frame with 351 observations and 4 variables which describe the losses (dependent dataset Y)
- FarmStructure
a data frame with 351 observations and 5 variables which describe the farm structure (explanatory dataset)
- OnFarmHistory
a data frame with 351 observations and 4 variables which describe the flock characteristics at placement (explanatory dataset)
- FlockCharacteristics
a data frame with 351 observations and 6 variables which describe the flock characteristics during the rearing period (explanatory dataset)
- CatchingTranspSlaught
a data frame with 351 observations and 5 variables which describe the transport, lairage conditions, slaughterhouse and inspection features (explanatory dataset)
Source
Lupo C., le Bouquin S., Balaine L., Michel V., Peraste J., Petetin I., Colin P. \& Chauvin C. (2009) Feasibility of screening broiler chicken flocks for risk markers as an aid for meat inspection. Epidemiology and Infection, 137, 1086-1098
Examples
1 2 | data(chickenk)
kta1 <- ktab.list.df(chickenk)
|
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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