[FIX] fix spelling

doc/introduction.rst

@@ -199,7 +199,7 @@ For new-comers, we recommend going through the following examples in the suggest
 
 .. raw:: html
 
-    <div class="sphx-glr-thumbcontainer" tooltip="This example shows manual steps to create and further modify an ROI spatial mask. They represen...">
+    <div class="sphx-glr-thumbcontainer" tooltip="This example shows manual steps to create and further modify an ROI spatial mask. They represent...">
 
 .. only:: html
 

examples/04_glm_first_level/plot_first_level_details.py

@@ -35,7 +35,7 @@
 # This task, described in Pinel et al., BMC neuroscience 2007 probes basic
 # functions, such as button presses with the left or right hand, viewing
 # horizontal and vertical checkerboards, reading and listening to short
-# sentences, and mental computations (subractions).
+# sentences, and mental computations (subtractions).
 #
 # Visual stimuli were displayed in four 250-ms epochs, separated by 100ms
 # intervals (i.e., 1.3s in total). Auditory stimuli were drawn from a recorded

examples/04_glm_first_level/plot_spm_multimodal_faces.py

@@ -31,7 +31,7 @@
 subject_data = fetch_spm_multimodal_fmri()
 
 #########################################################################
-# Specfiy timing and design matrix parameters.
+# Specify timing and design matrix parameters.
 
 # repetition time, in seconds
 tr = 2.0

nilearn/_utils/exceptions.py

@@ -25,7 +25,7 @@ class DimensionError(TypeError):
     Parameters
     ----------
     file_dimension : integer
-        Indicates the dimensonality of the bottom-level nifti file.
+        Indicates the dimensionality of the bottom-level nifti file.
 
     required_dimension : integer
         The dimension the nifti file should have.

nilearn/decoding/fista.py

@@ -152,7 +152,7 @@ def mfista(
     penalized problems emerged in the paper: Elvis Dohmatob,
     Alexandre Gramfort, Bertrand Thirion, Gael Varoquaux,
     "Benchmarking solvers for TV-L1 least-squares and logistic regression
-    in brain imaging". Pattern Recoginition in Neuroimaging (PRNI),
+    in brain imaging". Pattern Recognition in Neuroimaging (PRNI),
     Jun 2014, Tubingen, Germany. IEEE
 
     """

nilearn/decomposition/_base.py

@@ -46,10 +46,10 @@ def _fast_svd(X, n_components, random_state=None):
         The first matrix of the truncated svd
 
     S : array, shape (n_components)
-        The second matric of the truncated svd
+        The second matrix of the truncated svd
 
     V : array, shape (n_components, n_features)
-        The last matric of the truncated svd
+        The last matrix of the truncated svd
 
     """
     random_state = check_random_state(random_state)

nilearn/glm/regression.py

@@ -321,7 +321,7 @@ def normalized_residuals(self):
 
         Notes
         -----
-        Is this supposed to return "stanardized residuals,"
+        Is this supposed to return "standardized residuals,"
         residuals standardized
         to have mean zero and approximately unit variance?
 
@@ -405,7 +405,7 @@ def normalized_residuals(self, Y):
 
         Notes
         -----
-        Is this supposed to return "stanardized residuals,"
+        Is this supposed to return "standardized residuals,"
         residuals standardized
         to have mean zero and approximately unit variance?
 

nilearn/regions/tests/test_parcellations.py

@@ -45,7 +45,7 @@ def test_error_parcellation_method_none(test_image):
         Parcellations(method=None, verbose=0).fit(test_image)
 
 
-@pytest.mark.parametrize("method", ["kmens", "avg", "complte"])
+@pytest.mark.parametrize("method", ["kmens", "avg", "completed"])
 def test_errors_raised_in_check_parameters_fit(method, test_image):
     """Test whether an error is raised or not given
     a false method type.