BeerDataClever | 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.
BeerDataClever
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 - 9) |
[,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 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.
BeerDataNotClever
# A short summary of the variables
summary(BeerDataClever)
# Linear model
lm(Taste ~ Ingredient1, data = BeerDataClever)
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