fix travis' suggestion

Author: marcobarilari

src/readOutputFilter.m

@@ -1,33 +1,33 @@
 function outputFiltered = readOutputFilter(cfg, filterHeader, filterContent)
     % outputFiltered = readOutputFilter(cfg, filterHeader, filterContent)
-    % 
-    % It will display in the command window the content of the `output.tsv' filtered by one element 
-    % of a target column. At the moment it works only for string content and can retrieve the tsv 
+    %
+    % It will display in the command window the content of the `output.tsv' filtered by one element
+    % of a target column. At the moment it works only for string content and can retrieve the tsv
     % path form `cfg`.
-    % 
+    %
     % DEPENDENCIES:
     % - bids_matlab (from CPP_BIDS)
-    % 
+    %
     % INPUT:
-    % 
+    %
     %  - cfg: the main experiment structure
-    %  - filterHeader: string, the column header where the ctarget content is stored (e.g., for 
+    %  - filterHeader: string, the column header where the ctarget content is stored (e.g., for
     %    'condition name' will be 'trial type')
     %  - filterContent: string, the content of the column you want to filter out. It can take just
-    %    part of the content name (e.g., you want to display the triggers and you have 'trigger_motion'
-    %    and 'trigger_static', 'trigger' as input will do)
+    %    part of the content name (e.g., you want to display the triggers and you have
+    %    'trigger_motion' and 'trigger_static', 'trigger' as input will do)
     %
     % OUTPUT:
     %
     %  - outputFiltered: dataset with only the specified content, to see it in the command window
     %  use display(outputFiltered)
-    
+
 
     % Get the outputfile path
     tsvFile = fullfile(cfg.dir.outputSubject, ...
         cfg.fileName.modality, ...
         cfg.fileName.events);
-    
+
     % Read the the tsv file and store each column in a field of `output` structure
     output = bids.util.tsvread(tsvFile);
 
@@ -36,8 +36,8 @@
 
     % Convert the structure to dataset
     outputDataset = struct2dataset(output);
-    
+
     % Get the dataset with the content of intereset
-    outputFiltered = outputDataset(filterIdx,:);
+    outputFiltered = outputDataset(filterIdx, :);
 
 end