1 Research Question & Response Variable

What is your research question and your response variable? Give a detailed answer.

2 Factors, Levels, and Design Choice

List your factors and their levels. What is your design choice? Discuss any constraints or restrictions on randomization. Report your design table which includes run randomization. Discuss how you should employ randomization and blocking in this experiment.

3 Analysis Results

Write a comprehensive paragraph on the results of your statistical analysis. Use APA style. Refer to the interaction plots if necessary.

Response : response
                                 Df Sum Sq Mean Sq F value    Pr(>F)    
MODEL                            15 36.027  2.4018  8.0018 4.860e-07 ***
 FactorA                          1 12.727 12.7273 42.4018 2.489e-07 ***
 FactorB                          1  3.592  3.5923 11.9680 0.0015537 ** 
 FactorA:FactorB                  1 12.286 12.2862 40.9322 3.448e-07 ***
 FactorC                          1  0.167  0.1671  0.5568 0.4610065    
 FactorA:FactorC                  1  0.033  0.0329  0.1097 0.7426348    
 FactorB:FactorC                  1  0.073  0.0730  0.2432 0.6252730    
 FactorA:FactorB:FactorC          1  0.189  0.1890  0.6298 0.4332827    
 FactorD                          1  1.056  1.0562  3.5187 0.0698296 .  
 FactorA:FactorD                  1  0.503  0.5027  1.6748 0.2048826    
 FactorB:FactorD                  1  0.004  0.0042  0.0140 0.9066870    
 FactorA:FactorB:FactorD          1  0.224  0.2236  0.7451 0.3944625    
 FactorC:FactorD                  1  0.007  0.0073  0.0243 0.8770860    
 FactorA:FactorC:FactorD          1  4.837  4.8370 16.1148 0.0003364 ***
 FactorB:FactorC:FactorD          1  0.214  0.2141  0.7133 0.4046114    
 FactorA:FactorB:FactorC:FactorD  1  0.114  0.1141  0.3802 0.5418589    
RESIDUALS                        32  9.605  0.3002                      
CORRECTED TOTAL                  47 45.632                              
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

4 Power

Calculate the post-hoc power for this design. Use the effect size from your output.

The four-way interaction effect size is eta2=0.109001. Degrees of freedom for the power calculation is df=1.

5 Residual Analysis

Are your assumptions met? Use the plots to support your argument.

6 Factorial Regularities

Do the results of your factorial experiment display sparsity, heredity, and hierarchy? Support your answer with your results.

7 Limitations & What You’d Do Next

Discuss issues you see with this design. Do you have issues with Confounding effects? Are there design weaknesses? Give follow up experiment ideas.

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title: "STA320 Final Exam Team 2"
author: "Team 4: first names here"
date: "`r Sys.Date()`"
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```


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = F, comment=NA, warning=F)

# Setup and Design Definition

# Load required libraries
library(tidyverse)
library(effects)    # For interaction plots
library(sasLM)
library(FrF2)
library(dplyr)
library(effectsize)
library(kableExtra)

set.seed(123) # Reproducibility
```



# Research Question & Response Variable

What is your research question and your response variable? Give a detailed answer.








# Factors, Levels, and Design Choice

List your factors and their levels. What is your design choice? Discuss any constraints or restrictions on randomization. Report your design table which includes run randomization. Discuss how you should employ randomization and blocking in this experiment. 

```{r design, include=F}

############################################################
# Define Factors and Levels
############################################################

# Example: 2^4 factorial with optional blocking

base_design <- expand.grid(
  FactorA = c("Low", "High"),
  FactorB = c("Low", "High"),
  FactorC = c("Low", "High"),
  FactorD = c("Low", "High")
)

#Create blocking variable on replication

design <- base_design[rep(1:nrow(base_design), times = 3), ]

design$Block <- rep(paste0("Block", 1:3), each = nrow(base_design))

#randomization within block

design <- design %>%
  group_by(Block) %>%
  mutate(RunOrder = sample(1:n())) %>%
  ungroup()

design <- design %>%
  arrange(Block, RunOrder) %>%
  mutate(GlobalRun = row_number())


design %>%
  kbl(caption="2^4 Unreplicated Factorial-Randomization Schedule", align="c") %>%
  kable_classic(full_width=F) %>%
  column_spec(5, width="3cm")
```


``` {r simulation data, include=F}

# Simulate Response Data
# Define true effects
mu = 6.4
effect_A = .5
effect_B = -.3
effect_C = 0
effect_D = -.1
interaction_AB = .6
interaction_ACD = -.2

# Convert factors to indicators
sim_data = design %>%
  mutate(
    A = ifelse(FactorA == "High", 1, -1),
    B = ifelse(FactorB == "High", 1, -1),
    C = ifelse(FactorC == "High", 1, -1),
    D = ifelse(FactorD == "High", 1, -1)   
  )

# Generate response
sim_data$response = mu +
  effect_A * sim_data$A +
  effect_B * sim_data$B +
  effect_C * sim_data$C +
  effect_D * sim_data$D + 
  interaction_AB * sim_data$A * sim_data$B +
  interaction_ACD * sim_data$A * sim_data$C * sim_data$D +
  rnorm(nrow(sim_data), mean = 0, sd = .5)

```


# Analysis Results

Write a comprehensive paragraph on the results of your statistical analysis. Use APA style. Refer to the interaction plots if necessary.

```{r ANOVA, include=T}

# Factorial ANOVA 
aov1(response ~ FactorA * FactorB * FactorC * FactorD, sim_data)

model=lm(response ~ FactorA * FactorB * FactorC * FactorD, data=sim_data)
aov=aov(model)

```


```{r plots, include=T}

# Interaction Plots

par(mfrow=c(1,2))

# Base R interaction plot
#AB
interaction.plot(
  x.factor = sim_data$FactorA,
  trace.factor = sim_data$FactorB,
  response = sim_data$response,
  main = "A × B",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)
#AC
interaction.plot(
  x.factor = sim_data$FactorA,
  trace.factor = sim_data$FactorC,
  response = sim_data$response,
    main = "A × C",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)
#AD
interaction.plot(
  x.factor = sim_data$FactorA,
  trace.factor = sim_data$FactorD,
  response = sim_data$response,
    main = "A × D",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)

#BC
interaction.plot(
  x.factor = sim_data$FactorB,
  trace.factor = sim_data$FactorC,
  response = sim_data$response,
    main = "B × C",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)

#BD
interaction.plot(
  x.factor = sim_data$FactorB,
  trace.factor = sim_data$FactorD,
  response = sim_data$response,
    main = "B × D",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)

#CD
interaction.plot(
  x.factor = sim_data$FactorC,
  trace.factor = sim_data$FactorD,
  response = sim_data$response,
    main = "C × D",
  type = "b",
  col = c("blue", "red"),
  pch = c(19, 17)
)

```




``` {r power}
#Effect size from ANOVA needed for power
effsize=eta_squared(aov)
#four.way.interaction.effect=effsize[15,2]
#Convert eta squared to Cohen's f for post hoc power calc
E=eta2_to_f(effsize[15,2])

```
# Power 

Calculate the post-hoc power for this design. Use the effect size from your output. 

The four-way interaction effect size is eta^2^=`r E`. Degrees of freedom for the power calculation is df=1. 




# Residual Analysis

Are your assumptions met? Use the plots to support your argument. 

```{r assumptions}

hist(model$residuals, main="Residual Histogram")

design$Block <- factor(design$Block)
plot(
  design$GlobalRun,
  model$residuals,
  col = as.numeric(design$Block),
  pch = 19,
  xlab = "Run Order",
  ylab = "Residuals",
  main = "Residuals vs Run Order (Colored by Block)"
)
abline(h = 0, lty = 2)

```



# Factorial Regularities

Do the results of your factorial experiment display sparsity, heredity, and hierarchy? Support your answer with your results.

# Limitations & What You’d Do Next

Discuss issues you see with this design. Do you have issues with Confounding effects? Are there design weaknesses? Give follow up experiment ideas.