Introduce output result folder

data_processing.ipynb

@@ -127,7 +127,11 @@
     "# shim_modes = [\"CP\", \"CoV\"]  # debugging\n",
     "print(f\"shim_modes: {shim_modes}\")\n",
     "subjects = sorted(glob.glob(\"sub-*\"))\n",
-    "print(f\"subjects: {subjects}\")"
+    "print(f\"subjects: {subjects}\")\n",
+    "\n",
+    "# Create output folder\n",
+    "path_results = os.path.join(path_data, 'derivatives', 'results')\n",
+    "os.makedirs(path_results, exist_ok=True)"
    ]
   },
   {
@@ -413,14 +417,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a66be786",
+   "id": "95ab4e6d",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Create tables and perform statistics\n",
     "\n",
     "# Go back to root data folder\n",
-    "os.chdir(os.path.join(path_data))\n",
+    "os.chdir(path_data)\n",
     "\n",
     "# Data storage\n",
     "data_summary = []\n",
@@ -441,11 +445,11 @@
     "\n",
     "# Convert to DataFrame and save to CSV\n",
     "df_summary = pd.DataFrame(data_summary, columns=['Subject', 'Shim_Mode', 'Average', 'Standard_Deviation'])\n",
-    "df_summary.to_csv('subject_shim_mode_summary.csv', index=False)\n",
+    "df_summary.to_csv(os.path.join(path_results, 'subject_shim_mode_summary.csv'), index=False)\n",
     "\n",
     "# Step 3: Compute statistics across subjects\n",
     "df_grouped = df_summary.groupby('Shim_Mode').agg({'Average': 'mean', 'Standard_Deviation': 'mean'}).reset_index()\n",
-    "df_grouped.to_csv('average_across_subjects.csv', index=False)\n",
+    "df_grouped.to_csv(os.path.join(path_results, 'average_across_subjects.csv'), index=False)\n",
     "\n",
     "# Step 4: ANOVA and Posthoc Tests\n",
     "anova_result = f_oneway(*[group[\"Average\"].values for name, group in df_summary.groupby(\"Shim_Mode\")])\n",