options(scipen = 999)
setwd("C:/Users/irina/Documents/DND/EOHI/eohi2")

# Load data
data <- read.csv("eohi2.csv")

# Set 1: NPast_5_mean (15 variables)
data$NPast_5_mean <- rowMeans(data[, c(
  "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
  "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
  "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice"
)], na.rm = TRUE)

# Set 2: NPast_10_mean (15 variables)
data$NPast_10_mean <- rowMeans(data[, c(
  "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
  "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
  "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice"
)], na.rm = TRUE)

# Set 3: NFut_5_mean (15 variables)
data$NFut_5_mean <- rowMeans(data[, c(
  "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
  "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
  "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice"
)], na.rm = TRUE)

# Set 4: NFut_10_mean (15 variables)
data$NFut_10_mean <- rowMeans(data[, c(
  "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
  "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
  "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
)], na.rm = TRUE)

# Set 5: X5.10past_mean (15 variables)
data$X5.10past_mean <- rowMeans(data[, c(
  "X5.10past_pref_read", "X5.10past_pref_music", "X5.10past_pref_TV", "X5.10past_pref_nap", "X5.10past_pref_travel",
  "X5.10past_pers_extravert", "X5.10past_pers_critical", "X5.10past_pers_dependable", "X5.10past_pers_anxious", "X5.10past_pers_complex",
  "X5.10past_val_obey", "X5.10past_val_trad", "X5.10past_val_opinion", "X5.10past_val_performance", "X5.10past_val_justice"
)], na.rm = TRUE)

# Set 6: X5.10fut_mean (15 variables)
data$X5.10fut_mean <- rowMeans(data[, c(
  "X5.10fut_pref_read", "X5.10fut_pref_music", "X5.10fut_pref_TV", "X5.10fut_pref_nap", "X5.10fut_pref_travel",
  "X5.10fut_pers_extravert", "X5.10fut_pers_critical", "X5.10fut_pers_dependable", "X5.10fut_pers_anxious", "X5.10fut_pers_complex",
  "X5.10fut_val_obey", "X5.10fut_val_trad", "X5.10fut_val_opinion", "X5.10fut_val_performance", "X5.10fut_val_justice"
)], na.rm = TRUE)

# Set 7: NPast_global_mean (30 variables - NPast_5 + NPast_10)
data$NPast_global_mean <- rowMeans(data[, c(
  "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
  "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
  "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice",
  "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
  "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
  "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice"
)], na.rm = TRUE)

# Set 8: NFut_global_mean (30 variables - NFut_5 + NFut_10)
data$NFut_global_mean <- rowMeans(data[, c(
  "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
  "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
  "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice",
  "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
  "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
  "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
)], na.rm = TRUE)

# Set 9: X5.10_global_mean (30 variables - X5.10past + X5.10fut)
data$X5.10_global_mean <- rowMeans(data[, c(
  "X5.10past_pref_read", "X5.10past_pref_music", "X5.10past_pref_TV", "X5.10past_pref_nap", "X5.10past_pref_travel",
  "X5.10past_pers_extravert", "X5.10past_pers_critical", "X5.10past_pers_dependable", "X5.10past_pers_anxious", "X5.10past_pers_complex",
  "X5.10past_val_obey", "X5.10past_val_trad", "X5.10past_val_opinion", "X5.10past_val_performance", "X5.10past_val_justice",
  "X5.10fut_pref_read", "X5.10fut_pref_music", "X5.10fut_pref_TV", "X5.10fut_pref_nap", "X5.10fut_pref_travel",
  "X5.10fut_pers_extravert", "X5.10fut_pers_critical", "X5.10fut_pers_dependable", "X5.10fut_pers_anxious", "X5.10fut_pers_complex",
  "X5.10fut_val_obey", "X5.10fut_val_trad", "X5.10fut_val_opinion", "X5.10fut_val_performance", "X5.10fut_val_justice"
)], na.rm = TRUE)

# Set 10: N5_global_mean (30 variables - NPast_5 + NFut_5)
data$N5_global_mean <- rowMeans(data[, c(
  "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
  "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
  "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice",
  "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
  "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
  "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice"
)], na.rm = TRUE)

# Set 11: N10_global_mean (30 variables - NPast_10 + NFut_10)
data$N10_global_mean <- rowMeans(data[, c(
  "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
  "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
  "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice",
  "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
  "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
  "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
)], na.rm = TRUE)

# Save the data
write.csv(data, "eohi2.csv", row.names = FALSE)

# ===== QA CODE: Check first 5 rows =====
cat("\n=== QUALITY ASSURANCE: Checking calculations for first 5 rows ===\n\n")

for (i in 1:min(5, nrow(data))) {
  cat("--- Row", i, "---\n")
  
  # Set 1: NPast_5_mean
  calc1 <- mean(as.numeric(data[i, c(
    "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
    "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
    "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice"
  )]), na.rm = TRUE)
  cat("NPast_5_mean: Calculated =", calc1, "| Stored =", data$NPast_5_mean[i], 
      "| Match:", isTRUE(all.equal(calc1, data$NPast_5_mean[i])), "\n")
  
  # Set 2: NPast_10_mean
  calc2 <- mean(as.numeric(data[i, c(
    "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
    "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
    "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice"
  )]), na.rm = TRUE)
  cat("NPast_10_mean: Calculated =", calc2, "| Stored =", data$NPast_10_mean[i], 
      "| Match:", isTRUE(all.equal(calc2, data$NPast_10_mean[i])), "\n")
  
  # Set 3: NFut_5_mean
  calc3 <- mean(as.numeric(data[i, c(
    "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
    "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
    "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice"
  )]), na.rm = TRUE)
  cat("NFut_5_mean: Calculated =", calc3, "| Stored =", data$NFut_5_mean[i], 
      "| Match:", isTRUE(all.equal(calc3, data$NFut_5_mean[i])), "\n")
  
  # Set 4: NFut_10_mean
  calc4 <- mean(as.numeric(data[i, c(
    "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
    "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
    "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
  )]), na.rm = TRUE)
  cat("NFut_10_mean: Calculated =", calc4, "| Stored =", data$NFut_10_mean[i], 
      "| Match:", isTRUE(all.equal(calc4, data$NFut_10_mean[i])), "\n")
  
  # Set 5: X5.10past_mean
  calc5 <- mean(as.numeric(data[i, c(
    "X5.10past_pref_read", "X5.10past_pref_music", "X5.10past_pref_TV", "X5.10past_pref_nap", "X5.10past_pref_travel",
    "X5.10past_pers_extravert", "X5.10past_pers_critical", "X5.10past_pers_dependable", "X5.10past_pers_anxious", "X5.10past_pers_complex",
    "X5.10past_val_obey", "X5.10past_val_trad", "X5.10past_val_opinion", "X5.10past_val_performance", "X5.10past_val_justice"
  )]), na.rm = TRUE)
  cat("X5.10past_mean: Calculated =", calc5, "| Stored =", data$X5.10past_mean[i], 
      "| Match:", isTRUE(all.equal(calc5, data$X5.10past_mean[i])), "\n")
  
  # Set 6: X5.10fut_mean
  calc6 <- mean(as.numeric(data[i, c(
    "X5.10fut_pref_read", "X5.10fut_pref_music", "X5.10fut_pref_TV", "X5.10fut_pref_nap", "X5.10fut_pref_travel",
    "X5.10fut_pers_extravert", "X5.10fut_pers_critical", "X5.10fut_pers_dependable", "X5.10fut_pers_anxious", "X5.10fut_pers_complex",
    "X5.10fut_val_obey", "X5.10fut_val_trad", "X5.10fut_val_opinion", "X5.10fut_val_performance", "X5.10fut_val_justice"
  )]), na.rm = TRUE)
  cat("X5.10fut_mean: Calculated =", calc6, "| Stored =", data$X5.10fut_mean[i], 
      "| Match:", isTRUE(all.equal(calc6, data$X5.10fut_mean[i])), "\n")
  
  # Set 7: NPast_global_mean
  calc7 <- mean(as.numeric(data[i, c(
    "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
    "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
    "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice",
    "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
    "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
    "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice"
  )]), na.rm = TRUE)
  cat("NPast_global_mean: Calculated =", calc7, "| Stored =", data$NPast_global_mean[i], 
      "| Match:", isTRUE(all.equal(calc7, data$NPast_global_mean[i])), "\n")
  
  # Set 8: NFut_global_mean
  calc8 <- mean(as.numeric(data[i, c(
    "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
    "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
    "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice",
    "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
    "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
    "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
  )]), na.rm = TRUE)
  cat("NFut_global_mean: Calculated =", calc8, "| Stored =", data$NFut_global_mean[i], 
      "| Match:", isTRUE(all.equal(calc8, data$NFut_global_mean[i])), "\n")
  
  # Set 9: X5.10_global_mean
  calc9 <- mean(as.numeric(data[i, c(
    "X5.10past_pref_read", "X5.10past_pref_music", "X5.10past_pref_TV", "X5.10past_pref_nap", "X5.10past_pref_travel",
    "X5.10past_pers_extravert", "X5.10past_pers_critical", "X5.10past_pers_dependable", "X5.10past_pers_anxious", "X5.10past_pers_complex",
    "X5.10past_val_obey", "X5.10past_val_trad", "X5.10past_val_opinion", "X5.10past_val_performance", "X5.10past_val_justice",
    "X5.10fut_pref_read", "X5.10fut_pref_music", "X5.10fut_pref_TV", "X5.10fut_pref_nap", "X5.10fut_pref_travel",
    "X5.10fut_pers_extravert", "X5.10fut_pers_critical", "X5.10fut_pers_dependable", "X5.10fut_pers_anxious", "X5.10fut_pers_complex",
    "X5.10fut_val_obey", "X5.10fut_val_trad", "X5.10fut_val_opinion", "X5.10fut_val_performance", "X5.10fut_val_justice"
  )]), na.rm = TRUE)
  cat("X5.10_global_mean: Calculated =", calc9, "| Stored =", data$X5.10_global_mean[i], 
      "| Match:", isTRUE(all.equal(calc9, data$X5.10_global_mean[i])), "\n")
  
  # Set 10: N5_global_mean
  calc10 <- mean(as.numeric(data[i, c(
    "NPast_5_pref_read", "NPast_5_pref_music", "NPast_5_pref_TV", "NPast_5_pref_nap", "NPast_5_pref_travel",
    "NPast_5_pers_extravert", "NPast_5_pers_critical", "NPast_5_pers_dependable", "NPast_5_pers_anxious", "NPast_5_pers_complex",
    "NPast_5_val_obey", "NPast_5_val_trad", "NPast_5_val_opinion", "NPast_5_val_performance", "NPast_5_val_justice",
    "NFut_5_pref_read", "NFut_5_pref_music", "NFut_5_pref_TV", "NFut_5_pref_nap", "NFut_5_pref_travel",
    "NFut_5_pers_extravert", "NFut_5_pers_critical", "NFut_5_pers_dependable", "NFut_5_pers_anxious", "NFut_5_pers_complex",
    "NFut_5_val_obey", "NFut_5_val_trad", "NFut_5_val_opinion", "NFut_5_val_performance", "NFut_5_val_justice"
  )]), na.rm = TRUE)
  cat("N5_global_mean: Calculated =", calc10, "| Stored =", data$N5_global_mean[i], 
      "| Match:", isTRUE(all.equal(calc10, data$N5_global_mean[i])), "\n")
  
  # Set 11: N10_global_mean
  calc11 <- mean(as.numeric(data[i, c(
    "NPast_10_pref_read", "NPast_10_pref_music", "NPast_10_pref_TV", "NPast_10_pref_nap", "NPast_10_pref_travel",
    "NPast_10_pers_extravert", "NPast_10_pers_critical", "NPast_10_pers_dependable", "NPast_10_pers_anxious", "NPast_10_pers_complex",
    "NPast_10_val_obey", "NPast_10_val_trad", "NPast_10_val_opinion", "NPast_10_val_performance", "NPast_10_val_justice",
    "NFut_10_pref_read", "NFut_10_pref_music", "NFut_10_pref_TV", "NFut_10_pref_nap", "NFut_10_pref_travel",
    "NFut_10_pers_extravert", "NFut_10_pers_critical", "NFut_10_pers_dependable", "NFut_10_pers_anxious", "NFut_10_pers_complex",
    "NFut_10_val_obey", "NFut_10_val_trad", "NFut_10_val_opinion", "NFut_10_val_performance", "NFut_10_val_justice"
  )]), na.rm = TRUE)
  cat("N10_global_mean: Calculated =", calc11, "| Stored =", data$N10_global_mean[i], 
      "| Match:", isTRUE(all.equal(calc11, data$N10_global_mean[i])), "\n\n")
}

cat("=== QA CHECK COMPLETE ===\n")