diff --git a/qhtcp-workflow/apps/r/calculate_interaction_zscores.R b/qhtcp-workflow/apps/r/calculate_interaction_zscores.R
index f6db17f7..2d1877e5 100644
--- a/qhtcp-workflow/apps/r/calculate_interaction_zscores.R
+++ b/qhtcp-workflow/apps/r/calculate_interaction_zscores.R
@@ -552,6 +552,7 @@ generate_scatter_plot <- function(plot, config) {
   return(plot)
 }
 
+
 generate_box_plot <- function(plot, config) {
   plot <- plot + geom_boxplot()
   
@@ -684,18 +685,18 @@ generate_rank_plot_configs <- function(df_filtered, is_lm = FALSE, adjust = FALS
   configs <- list()
   
   # SD-based plots for L and K
-  for (var in c("L", "K")) {
+  for (variable in c("L", "K")) {
     for (sd_band in sd_bands) {
       
       # Determine columns based on whether it's lm or not
       if (is_lm) {
-        rank_var <- paste0(var, "_Rank_lm")
-        zscore_var <- paste0("Z_lm_", var)
-        y_label <- paste("Int Z score", var)
+        rank_var <- paste0(variable, "_Rank_lm")
+        zscore_var <- paste0("Z_lm_", variable)
+        y_label <- paste("Int Z score", variable)
       } else {
-        rank_var <- paste0(var, "_Rank")
-        zscore_var <- paste0("Avg_Zscore_", var)
-        y_label <- paste("Avg Z score", var)
+        rank_var <- paste0(variable, "_Rank")
+        zscore_var <- paste0("Avg_Zscore_", variable)
+        y_label <- paste("Avg Z score", variable)
       }
       
       # Annotated Plot Configuration
@@ -704,7 +705,7 @@ generate_rank_plot_configs <- function(df_filtered, is_lm = FALSE, adjust = FALS
         x_var = rank_var,
         y_var = zscore_var,
         plot_type = "scatter",
-        title = paste(y_label, "vs. Rank for", var, "above", sd_band, "SD"),
+        title = paste(y_label, "vs. Rank for", variable, "above", sd_band, "SD"),
         sd_band = sd_band,
         annotations = list(
           list(
@@ -729,7 +730,7 @@ generate_rank_plot_configs <- function(df_filtered, is_lm = FALSE, adjust = FALS
         x_var = rank_var,
         y_var = zscore_var,
         plot_type = "scatter",
-        title = paste(y_label, "vs. Rank for", var, "above", sd_band, "SD No Annotations"),
+        title = paste(y_label, "vs. Rank for", variable, "above", sd_band, "SD No Annotations"),
         sd_band = sd_band,
         annotations = NULL,
         sd_band_values = sd_band,
@@ -739,26 +740,26 @@ generate_rank_plot_configs <- function(df_filtered, is_lm = FALSE, adjust = FALS
     }
   }
   
-  # Average ZScore and Rank Avg ZScore Plots for r, L, K, and AUC
-  for (var in variables) {
+  # Avg ZScore and Rank Avg ZScore Plots for r, L, K, and AUC
+  for (variable in variables) {
     for (plot_type in c("Avg_Zscore_vs_lm", "Rank_Avg_Zscore_vs_lm")) {
       
       # Define x and y variables based on plot type
       if (plot_type == "Avg_Zscore_vs_lm") {
-        x_var <- paste0("Avg_Zscore_", var)
-        y_var <- paste0("Z_lm_", var)
-        title_suffix <- paste("Avg Zscore vs lm", var)
+        x_var <- paste0("Avg_Zscore_", variable)
+        y_var <- paste0("Z_lm_", variable)
+        title_suffix <- paste("Avg Zscore vs lm", variable)
       } else if (plot_type == "Rank_Avg_Zscore_vs_lm") {
-        x_var <- paste0(var, "_Rank")
-        y_var <- paste0(var, "_Rank_lm")
-        title_suffix <- paste("Rank Avg Zscore vs lm", var)
+        x_var <- paste0(variable, "_Rank")
+        y_var <- paste0(variable, "_Rank_lm")
+        title_suffix <- paste("Rank Avg Zscore vs lm", variable)
       }
       
       # Determine y-axis label
       if (plot_type == "Avg_Zscore_vs_lm") {
-        y_label <- paste("Z lm", var)
+        y_label <- paste("Z lm", variable)
       } else {
-        y_label <- paste("Rank lm", var)
+        y_label <- paste("Rank lm", variable)
       }
       
       # Determine correlation text (R-squared)