Phishing.Rmd

---
title: "Phishing Training Task"
output:
  html_document:
    df_print: paged
  html_notebook: default
  pdf_document: default
---

```{r Libraries}
library(here)
library(dplyr)
library(tidyverse)
library(ggplot2)
library(ggrepel)
library(xtable)

library(gmodels)
library(DescTools)
library(qqplotr)
library(dunn.test)
library(rstatix)

library(afex); 
library(parallel); 
library(car); 
library(emmeans)
library(lme4)
library(Matrix)
library(coin)
library(readxl)



here()
```

```{r LoadData}

syncRate_data_M1 <- read.csv(file =here("Data", "Phishing", "MaxSyncRate_Fitting_Data_M1.csv"), na="NULL")
syncRate_data_M2 <- read.csv(file =here("Data", "Phishing", "MaxSyncRate_Fitting_Data_M2.csv"), na="NULL")


```

```{r SyncRate}

### M1

# Assuming 'userID' is the column containing participant IDs
syncRate_data_M1 %>%
  group_by(UserID) %>%
  summarize(
    min_SyncRate = min(SyncRate_Value),
    decay_min = Decay_Value[which.min(SyncRate_Value)],
    
    max_SyncRate = max(SyncRate_Value),
    decay_max = Decay_Value[which(SyncRate_Value == max(SyncRate_Value))[length(which(SyncRate_Value == max(SyncRate_Value)))]]
  )

# Count decays with min and max SyncRate for each participant
syncRate_data_M1 %>%
  group_by(UserID) %>%
  summarize(
    count_min_SyncRate = sum(SyncRate_Value == min(SyncRate_Value)),
    count_max_SyncRate = sum(SyncRate_Value == max(SyncRate_Value))
  )



### M2

syncRate_data_M2 %>%
  group_by(UserID) %>%
  summarize(
    min_SyncRate = min(SyncRate_Value),
    decay_min = Decay_Value[which.min(SyncRate_Value)],
    max_SyncRate = max(SyncRate_Value),
    decay_max = Decay_Value[which(SyncRate_Value == max(SyncRate_Value))[length(which(SyncRate_Value == max(SyncRate_Value)))]]
  )

# Count decays with min and max SyncRate for each participant
syncRate_data_M2 %>%
  group_by(UserID) %>%
  summarize(
    count_min_SyncRate = sum(SyncRate_Value == min(SyncRate_Value)),
    count_max_SyncRate = sum(SyncRate_Value == max(SyncRate_Value))
  )


```



```{r dataSyncRate_Only_MaxDecayChoice}

### M1

# Filter to include only rows with maximum SyncRate for each participant
get_Max_SyncRate_rows_M1 <- syncRate_data_M1 %>%
  group_by(UserID) %>%
  filter(SyncRate_Value == max(SyncRate_Value))


# Find the maximum decay value for the maximum SyncRate for each participant
max_decay_for_max_SyncRate_M1 <- get_Max_SyncRate_rows_M1 %>%
  group_by(UserID) %>%
 arrange(desc(Decay_Value)) %>%
  slice(1)

head(max_decay_for_max_SyncRate_M1)


### M2

get_Max_SyncRate_rows_M2 <- syncRate_data_M2 %>%
  group_by(UserID) %>%
  filter(SyncRate_Value == max(SyncRate_Value))


# Find the maximum decay value for the maximum SyncRate for each participant
max_decay_for_max_SyncRate_M2 <- get_Max_SyncRate_rows_M2 %>%
  group_by(UserID) %>%
  arrange(desc(Decay_Value)) %>%
  slice(1)



head(max_decay_for_max_SyncRate_M2)


```


```{r SaveMaxDecay}
# Saving the selected data frame to a CSV file

write.csv(max_decay_for_max_SyncRate_M1, "./max_decays_M1.csv", row.names = FALSE)
write.csv(max_decay_for_max_SyncRate_M2, "./max_decays_M2.csv", row.names = FALSE)

```