Update app.qmd (add inputs)

test.R

@@ -7,43 +7,61 @@ library(readr)
 
 # Creating faceted plots for different knot values and mu values
 # Create a function to generate the data for a given number of knots and mu value
-generate_basis_data <- function(num_knots, mu_value) {
-  grid <- seq(0, 1, length.out = 20)
+generate_basis_data <- function(num_knots, mu_value, sig_value, nonc_value, tailw_value, deg_value) {
+  grid <- seq(from = 0.01, to = 0.99, length.out = 50)
+  # Use provided degree
   B <- profoc:::make_basis_matrix(grid,
     profoc::make_knots(
       n = num_knots,
       mu = mu_value,
-      sig = 1,
-      nonc = 0,
-      deg = 1
+      sig = sig_value,
+      nonc = nonc_value,
+      tailw = tailw_value,
+      deg = deg_value
     ),
-    deg = 3
+    deg = deg_value
   )
-  df <- as.data.frame(as.matrix(B))
+  B_mat <- round(as.matrix(B),2)
+  df <- as.data.frame(B_mat)
   df$x <- grid
   df_long <- pivot_longer(df,
     cols = -x,
     names_to = "b",
     values_to = "y"
   )
-  df_long$knots <- num_knots # Store knot count as numeric
-  df_long$mu <- mu_value # Add mu parameter information
+  df_long$knots <- num_knots
+  df_long$mu <- mu_value
+  df_long$sig <- sig_value
+  df_long$nonc <- nonc_value
+  df_long$tailw <- tailw_value
+  df_long$deg <- deg_value
   return(df_long)
 }
 
-# Generate data for each combination of knot value and mu value
-knot_values <- 5:10
-mu_values <- seq(0.1, 0.9, by = 0.1)
+# Generate data for each combination of knot, mu, sig, nonc, tailw, and deg
+knot_values <- c(10)
+mu_values <- seq(0.1, 0.9, by = 0.2)
+sig_values <- 2^(-2:2)
+nonc_values <- c(-4,2,0,2,4)
+tailw_values <- 2^(-2:2)
 
 # Create an empty list to store all combinations
 all_data <- list()
 counter <- 1
 
-# Generate data for all combinations
+# Nested loops to cover all parameter combinations
 for (k in knot_values) {
+  print(paste("Processing knots:", k))
   for (m in mu_values) {
-    all_data[[counter]] <- generate_basis_data(k, m)
-    counter <- counter + 1
+    print(paste("Processing mu:", m))
+    for (s in sig_values) {
+      for (nc in nonc_values) {
+        for (tw in tailw_values) {
+            all_data[[counter]] <- generate_basis_data(5, m, s, nc, tw, 2)
+            counter <- counter + 1
+        }
+      }
+    }
   }
 }