diff --git a/getParameters.m b/getParameters.m
index 86e32fa..41931b8 100644
--- a/getParameters.m
+++ b/getParameters.m
@@ -3,5 +3,24 @@
 %parameters for a given trial where each row is an individual animal and
 %each column is the chosen parameter on each trial
 
+mouseNames = fieldnames(dataSet);
+
+allParameters = {};
+
+for m = 1:length(mouseNames)
+   thisMouse = dataSet.(mouseNames{m});
+   thisTask = thisMouse.(task);
+   thisParameter = thisTask.(parameter);
+   
+   allParameters{m} = thisParameter;
+end
+
+maxLength = max(cellfun(@length, allParameters));
+parameters = nan(length(allParameters), maxLength);
+
+for i = 1:length(allParameters)
+   parameters(i,1:length(allParameters{1,i})) = allParameters{1,i}; 
+end
+
 end
 
diff --git a/splitData.m b/splitData.m
index ccd8595..77c6f70 100644
--- a/splitData.m
+++ b/splitData.m
@@ -1,6 +1,20 @@
 function [ control, test ] = splitData( dataSet )
 %SPLITDATA splits a standard AutonoMouse data set into two structures, one
 %for control animals, one for test animals based on NMDA parameter
+control = struct();
+test = struct();
+
+mouseNames = fieldnames(dataSet);
+
+for m = 1:length(mouseNames)
+    thisMouse = dataSet.(mouseNames{m});
+    
+    if thisMouse.NMDA > 0
+        test.(mouseNames{m}) = thisMouse;
+    else
+        control.(mouseNames{m}) = thisMouse;
+    end
+end
 
 end