Beefcarcasses | R Documentation |
The data in this data set is real data from cattle carcasses in Norwegian Slaughterhouses. In addition to the KFactor, breed, gender and age of the cattle when slaughtered are registered for all carcasses.
Beefcarcasses
A data frame with 72 observations (rows) and 4 variables (columns).
Column name | Data type | Description | Values | |
[,1] | KFactor | numeric | The Kfactor for each carcass | (1.905 - 5.150) |
[,2] | Breed | Character | 3 cattle breeds | ("Limousin", "NRF", "Holstein") |
[,3] | Gender | Character | 2 genders; Bull = male, Cow = female | ("Bull", "Cow") |
[,4] | Age | numeric | The age of the cattle in days | (305 - 722) |
The three cattle breeds:
Holstein: a breed specialized on dairy (milk) production
Limousin: a breed specialized for beef production
NRF: (Norwegian Red Cattle) is a so-called combination breed, i.e., bred for both dairy and beef production
Carcasses are classified in accordance with the EUROP standard, where confirmation (i.e., the overall form of the carcass) and fat content are graded at 15-point scale(s). The confirmation class correlates well to the so called KFactor:
KFactor = {10}^5 \frac{Weight(kg)}{{Length}^3({cm}^3)}
This data was used in the compulsory assignment in STAT210 H19, and in Exercises for STAT210 (exercise 14) in August 2022.
The data is provided by Lars Erik Gangsei and Animalia AS.
# The structure of the object
str(Beefcarcasses)
# Linear model
lm(KFactor ~ Breed*Gender, data = Beefcarcasses)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.