v0.01

Author: jbpoline

notebooks/nipy_t_test_2nd_level.ipynb

@@ -129,7 +129,7 @@
       "f, (a1, a2) = subplots(1,2,figsize=(10,3))\n",
       "a1.imshow(data_img0[:,:,12])\n",
       "a1.set_title('my_example')\n",
-      "a2.imshow(mask_arr[:,:,12])\n"
+      "a2.imshow(mask_arr[:,:,12])"
      ],
      "language": "python",
      "metadata": {},
@@ -151,6 +151,13 @@
      ],
      "prompt_number": 7
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "For this subject, the mask was rather large. But usually, you will like to use all subjects (for instance the mean across subjects) to "
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
@@ -267,8 +274,6 @@
       "#go from a list of 3d to one 4d image:\n",
       "data_images_4d = nib.concat_images(data_images, check_affines=True)\n",
       "\n",
-      "# use our model X\n",
-      "\n",
       "# FMRILinearModel will \n",
       "#  * load the data in fmri_model.fmri_data\n",
       "#  * load X in fmri_model.design_matrices\n",