Upload app.R

app.R

@@ -383,15 +383,16 @@ get_moments_analytical <- function(model, group_label = "Unknown") {
 #* Calculate effect size from two groups
 #* @param group1 Comma-separated numeric values for group 1
 #* @param group2 Comma-separated numeric values for group 2
-#* @param degree Polynomial degree (default 5)
+#* @param ci Confidence interval level (default 0.95)
 #* @post /calculate
 #* @get /calculate
-function(group1, group2) {
+function(group1, group2, ci = 0.95) {
   
   tryCatch({
     # Parse input
     x1 <- as.numeric(unlist(strsplit(group1, ",")))
     x2 <- as.numeric(unlist(strsplit(group2, ",")))
+    ci_level <- as.numeric(ci)
     
     # Remove any NA values from parsing
     x1 <- x1[!is.na(x1)]
@@ -399,17 +400,21 @@ function(group1, group2) {
     
     if (length(x1) == 0 || length(x2) == 0) {
       return(list(
+        success = FALSE,
         error = "Invalid input: Could not parse numeric values from input strings"
       ))
     }
     
-    # Calculate effect size
-    result <- d.quantile(x1, x2, silent = TRUE)
+    # Calculate effect size with CI
+    result <- d.quantile(x1, x2, CI = ci_level, silent = TRUE)
     
     # Return clean result
     return(list(
       success = TRUE,
       d_q = result$d_q,
+      ci_lower = result$ci_lower,
+      ci_upper = result$ci_upper,
+      ci_level = result$ci_level,
       group1 = list(
         n = result$n1,
         mean = result$group1_mean,
@@ -421,11 +426,7 @@ function(group1, group2) {
         sd = result$group2_sd
       ),
       pooled_sd = result$pooled_sd,
-      degree = result$degree,
-      tie_info = list(
-        group1_ties = result$tie_proportion_1,
-        group2_ties = result$tie_proportion_2
-      )
+      degree = result$degree
     ))
     
   }, error = function(e) {