ListeriaStore | R Documentation |
This is simulated data based on real experiments by Animalia AS (to mimic realistic variance). The density of the bacterial genus Listeria was measured on six brands of ham from different grocery stores. The measurements were done on cold cuts of ham and by counting the number of colony-forming units per gram.
ListeriaStore
A data frame with 48 observations (rows) and 3 variables (columns).
Column name | Data type | Description | Values | |
[,1] | ListeriaNumber | numeric | Listeria density in cfu/g | (635.3076 - 15994102) |
[,2] | HamTopping | factor | 6 brands of ham | (HamT1...HamT6) |
[,3] | GroceryStore | factor | 4 different stores | (Store1...Store4) |
Cold cuts of ham are available in a large number of brands, differing slightly in thickness, packing method, producers, addings etc. A research group wanted to test the hypothesis if the brand of cold cuts of ham had any effect on Listeria growth. They soon realized that they could not test all brands. Thus, they randomly picked 6 brands of cold cuts of ham and for those 6 brands they randomly picked 8 replicates. These replicates were picked in 4 different grocery stores, 2 replicates for each brand in each store.
This data was used for compulsory assignment in STAT210 H20, and in Exercises for STAT210 (exercise 20) in August 2022.
The data is created by Lars Erik Gangsei.
# First six rows
head(ListeriaStore)
# Linear model
lm(ListeriaNumber ~ HamTopping, data = ListeriaStore)
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