diff --git a/usedMcode/evaluationAccuracys.m b/usedMcode/evaluationAccuracys.m
index 9b1490f..e1cca5c 100644
--- a/usedMcode/evaluationAccuracys.m
+++ b/usedMcode/evaluationAccuracys.m
@@ -2,11 +2,16 @@
 
 input=accuracys.LF;
 sizeY=2;
-limits_y=[30,50];
+limits_y=[100,0];
 
 names=fieldnames(input);
 noOfPlots=size(names,1);
 
+for i=1:noOfPlots
+    limits_y=[min(min(input.(sprintf('%s',names{i}))),limits_y(1)),...
+        max(max(input.(sprintf('%s',names{i}))),limits_y(2))];
+end
+
 figure();
 
 for i=1:noOfPlots
diff --git a/usedMcode/evaluationCorrelations.m b/usedMcode/evaluationCorrelations.m
new file mode 100644
index 0000000..b75d545
--- /dev/null
+++ b/usedMcode/evaluationCorrelations.m
@@ -0,0 +1,25 @@
+load('/home/jph/Uni/masterarbeit/evaluation.mat')
+
+input=correlations.EEG.kin;
+sizeY=2;
+limits_y=[1,-1];
+
+names=fieldnames(input);
+noOfPlots=size(names,1);
+
+for i=1:noOfPlots
+    limits_y=[min(min(min(input.(sprintf('%s',names{i})))),limits_y(1)),...
+        max(max(max(input.(sprintf('%s',names{i})))),limits_y(2))];
+end
+
+figure();
+
+for i=1:noOfPlots
+    subplot(sizeY,ceil(noOfPlots/sizeY),i)
+    boxplot(input.(sprintf('%s',names{i})))
+    title(names{i})
+    ylim(limits_y)
+end
+
+anova1(cat(2,input.default3Syn,input.offset1Syn3,input.offset2Syn3,input.pause1Syn3,input.pause1Off1Syn3),[0,0,0,1,1])
+anova1(cat(2,input.default3Syn,input.offset1Syn3,input.pause1Syn3,input.pause1Off1Syn3),[0,1,0,1])