Cakes.miss: Cakes.miss: Finding the Best Cake Recipe

In thoree/stat340: Data and functions for BIAS at NMBU

Cakes.miss: Finding the Best Cake Recipe

Description

This data set consists of a response variable Y, which reflects how good a cake is, and three explanatory variables.

Usage

Cakes.miss

Format

A data frame with 24 observations (rows) and 4 variables (columns).

	Column name	Data type	Description	Values
[,1]	Y	numeric	The liking score of the cakes	(0.0004 - 0.6600)
[,2]	A	integer	Mixture proportion	(50, 100)
[,3]	B	integer	Temperature	(150, 200, 250)
[,4]	C	integer	Baking time	(15, 45)

Details

The Cakes.miss data was used in Group-Exercises-Regression II (STAT340), Exercise 4:Finding the best chocolate cake recipe. Some of the values in Y are missing (response Y set to NA in observation nr. 9, 11, 13, 15, and 20), which means that there are five cakes left to bake. In this exercise you are supposed to complete the data set using the virtual chocolate cake factory.

The following levels were chosen for the factors:

• A: Two ingredient was mixed with two mixture proportions. Either 50 (50/50 mix) or 100 (100/0 mix).

• B: The cakes were baked at three different temperatures. Either 150, 200 or 250 degrees Celsius.

• C: The cakes were baked at 15 or 45 minutes.

Examples

# A short summary of the variables
summary(Cakes.miss)

# Data for the five cakes left to bake
Cakes.miss[is.na(Cakes.miss$Y),]

thoree/stat340 documentation built on June 30, 2024, 4:04 p.m.