Difference between revisions of "Worksheets/Week6"
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# The response: stability [units=days] | # The response: stability [units=days] | ||
y <- | y <- ... | ||
# Linear model to predict stability from | # Linear model to predict stability from |
Revision as of 20:24, 31 March 2019
Part 1
Your group is developing a new product, but have been struggling to get the product’s stability, measured in days, to the level required. You are aiming for a stability value of 50 days or more.
# Define the 3 factors. This code is a template that you
# can easily extend and reuse for full factorial designs:
A <- c(-1, +1, -1, +1)
B <- c(-1, -1, +1, +1)
C <- A * B
# The response: stability [units=days]
y <- ...
# Linear model to predict stability from
# A: enzyme strength: -1 == 20%; +1 == 30%
# B: feed concentration: -1 == 5%; +1 == 15%
# C: mixer type: -1 = R mixer; +1 = W mixer
model.stability <- lm(y ~ A*B*C)
summary(model.stability.half)
# Uncomment this line if you run the code in RStudio
#library(pid)
# Comment these 2 lines if you run this code in RStudio
source('https://yint.org/paretoPlot.R')
source('https://yint.org/contourPlot.R')
paretoPlot(model.stability)