BeerDataNotClever | R Documentation |
This data is from a simulated beer brewing experiment. The use of three different ingredients and a liking score for each of the beers is registered.
BeerDataNotClever
A data frame with 16 observations (rows) and 4 variables (columns).
Column name | Data type | Description | Values | |
[,1] | Taste | numeric | The liking score for each beer | (0 - 8) |
[,2] | Ingredient1 | character | Yes if ingredient 1 was added | ("Yes", "No") |
[,3] | Ingredient2 | character | Yes if ingredient 2 was added | ("Yes", "No") |
[,4] | Ingredient3 | character | Yes if ingredient 3 was added | ("Yes", "No") |
Two students at NMBU were arguing about who is best at brewing beer, and they therefore decided to do an experiment:
They could add three different ingredients during the brewing process. The various ingredients are either added or they are not added.
They allied themselves with a third student who was a judge. The judge quantified the taste of a total of 16 samples from each of the two beer brewers (scale 0-10).
The tasting was done in a totally randomized order.
The data in this data set is from the beers brewed by the not-clever student.
The data in BeerDataClever
and BeerDataNotClever
were simulated for the
purpose of illustrating a complete factorial experimental design, and were
used in Exercises for STAT210 (exercise 15) in August 2022.
The data is created by Lars Erik Gangsei.
BeerDataClever
# First six and last six rows
head(BeerDataNotClever)
tail(BeerDataNotClever)
# Linear model
lm(Taste ~ Ingredient1, data = BeerDataNotClever)
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