Difference between revisions of "Worksheets/Week3"

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=== Part 1 ===
=== Part 1 ===
A factorial experiment was run to investigate the settings that minimize the production of an unwanted side product. The two factors being investigated are called A and B for simplicity.


<html><div data-datacamp-exercise data-lang="r" data-height="500px">
<html><div data-datacamp-exercise data-lang="r" data-height="500px">
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interaction.plot(A, B, y)
interaction.plot(A, B, y)
interaction.plot(B, A, y)
interaction.plot(B, A, y)
    </code>
</div></html>
=== Part 2 ===
Continuing from above, with 2 extra experimental points:
<html><div data-datacamp-exercise data-lang="r" data-height="500px">
    <code data-type="sample-code">
# A = additive at 20mL and 30mL for low and high levels
A <- c(-1, +1, -1, +1, 0, 0)
# B = without (-) or with (+) boiling
B <- c(-1, -1, +1, +1, -1, +1)
# Response y is the amount of side product formed, y [grams]
y <- c(89, 268, 179, 448, 186, 290)
mod.siderxn.cp <- lm(y ~ A + B + A*B)
summary(mod.siderxn.cp)
# Uncomment this line if you run the code in RStudio
#library(pid)
# Comment this line if you run this code in RStudio
source('https://yint.org/contourPlot.R')
contourPlot(mod.siderxn.cp)
     </code>
     </code>
</div></html>
</div></html>

Revision as of 16:06, 10 March 2019

Part 1

A factorial experiment was run to investigate the settings that minimize the production of an unwanted side product. The two factors being investigated are called A and B for simplicity.

# A = additive at 20mL and 30mL for low and high levels A <- c(-1, +1, -1, +1) # B = without (-) or with (+) boiling B <- c(-1, -1, +1, +1) # Response y is the amount of side product formed, y [grams] y <- c(89, 268, 179, 448) # Fit a linear model mod.siderxn <- lm(y ~ A + B + A*B) summary(mod.siderxn) # Uncomment this line if you run the code in RStudio #library(pid) # Comment this line if you run this code in RStudio source('https://yint.org/contourPlot.R') # See how the two factors affect the response: contourPlot(mod.siderxn) interaction.plot(A, B, y) interaction.plot(B, A, y)


Part 2

Continuing from above, with 2 extra experimental points:

# A = additive at 20mL and 30mL for low and high levels A <- c(-1, +1, -1, +1, 0, 0) # B = without (-) or with (+) boiling B <- c(-1, -1, +1, +1, -1, +1) # Response y is the amount of side product formed, y [grams] y <- c(89, 268, 179, 448, 186, 290) mod.siderxn.cp <- lm(y ~ A + B + A*B) summary(mod.siderxn.cp) # Uncomment this line if you run the code in RStudio #library(pid) # Comment this line if you run this code in RStudio source('https://yint.org/contourPlot.R') contourPlot(mod.siderxn.cp)