Init simple web-app

test.R

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+# %%
+library(profoc)
+library(ggplot2)
+library(tidyr)
+library(dplyr)
+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) {
+  B <- profoc:::make_basis_matrix(1:99 / 100,
+    profoc::make_knots(
+      n = num_knots,
+      mu = mu_value,
+      sig = 1,
+      nonc = 0,
+      deg = 1
+    ),
+    deg = 3
+  )
+  df <- as.data.frame(as.matrix(B))
+  df$x <- 1:99 / 100
+  df_long <- pivot_longer(df,
+    cols = -x,
+    names_to = "b",
+    values_to = "y"
+  )
+  df_long$knots <- num_knots # Store knot count as numeric
+  df_long$mu <- mu_value # Add mu parameter information
+  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)
+
+# Create an empty list to store all combinations
+all_data <- list()
+counter <- 1
+
+# Generate data for all combinations
+for (k in knot_values) {
+  for (m in mu_values) {
+    all_data[[counter]] <- generate_basis_data(k, m)
+    counter <- counter + 1
+  }
+}
+
+# Combine all data frames
+all_data <- bind_rows(all_data)
+
+write_csv(all_data, "basis_functions.csv")