LambDataFactorial | R Documentation |
This is real data of carcase weight for 32 lambs as registered in the slaughterhouse. The data set represent a balanced fully crossed design with four factors, each with two levels.
LambDataFactorial
A data frame with 32 observations (rows) and 5 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Carcase_weight | numeric | Carcase weight in kg | (14.7 - 24.8) |
[,2] | Breed | factor | 2 levels of sheep breeds | (NKS, NP) |
[,3] | Maternal_age | factor | 2 levels of mothers | (2+ litter, First litter) |
[,4] | Twin | factor | 2 levels of litter size | (2+ lambs, One lamb) |
[,5] | Sex | factor | 2 genders | (Female, Male) |
Maternal_age
= “2+ litter” if the mother has given birth
before.
Twin
= "2+ lambs" if there were two or more lambs in the
litter.
Carcasses from two Norwegian sheep breeds were observed: Norwegian white sheep (NKS) and Norwegian pelssau (NP).
This data was used in the Exam STAT210 H22.
This is real data from "Sauekontrollen", a database administered by Animalia AS. All data are from the same farmer and are sampled in the same year. The data is provided by Lars Erik Gangsei.
# The structure of the object
str(LambDataFactorial)
# Weight based only on the sheep breed
boxplot(Carcase_weight ~ Breed, data = LambDataFactorial,
col = c("azure", "coral"))
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