diff --git a/text/TODO.txt b/text/TODO.txt
index 0cde0b7..3756d86 100644
--- a/text/TODO.txt
+++ b/text/TODO.txt
@@ -124,4 +124,5 @@
 * ridgeCV
   - 
 * max per class
-
+* 2 und 4 Synergien
+* vergleich EMG Synergie
diff --git a/text/thesis/03Results.tex b/text/thesis/03Results.tex
index bdd589c..85ddadb 100644
--- a/text/thesis/03Results.tex
+++ b/text/thesis/03Results.tex
@@ -151,3 +151,5 @@
                 \caption{Autoencoder data predicted from Low Frequencies}
                 \label{fig:lfToAutoencPause}
             \end{figure}
+%EEG -> EMG
+%Autoenc kin/pos
diff --git a/text/thesis/pictures/results/classEEGemgLF.png b/text/thesis/pictures/results/classEEGemgLF.png
index 31a9450..3f26da8 100644
--- a/text/thesis/pictures/results/classEEGemgLF.png
+++ b/text/thesis/pictures/results/classEEGemgLF.png
Binary files differ
diff --git a/text/thesis/pictures/results/corrEEGemgLF.png b/text/thesis/pictures/results/corrEEGemgLF.png
index 04cc81d..e5b4671 100644
--- a/text/thesis/pictures/results/corrEEGemgLF.png
+++ b/text/thesis/pictures/results/corrEEGemgLF.png
Binary files differ
diff --git a/text/thesis/pictures/results/corrEEGemgLFpos.png b/text/thesis/pictures/results/corrEEGemgLFpos.png
index 9ae3e86..49bb2cb 100644
--- a/text/thesis/pictures/results/corrEEGemgLFpos.png
+++ b/text/thesis/pictures/results/corrEEGemgLFpos.png
Binary files differ
diff --git a/usedMcode/evaluationAccuracys.m b/usedMcode/evaluationAccuracys.m
index 307df58..812956c 100644
--- a/usedMcode/evaluationAccuracys.m
+++ b/usedMcode/evaluationAccuracys.m
@@ -4,9 +4,14 @@
 eegAcc=struct2array(accuracys.EEG);
 emgAcc=struct2array(accuracys.EMG);
 LFAcc=struct2array(accuracys.LF);
+EEG=cell(size(eegAcc(:,1:end-1),2),1);
+EEG(:)={'EEG'};
+EMG=cell(size(emgAcc(:,1:end-1),2),1);
+EMG(:)={'EMG'};
+LF=cell(size(LFAcc(:,1:end-1),2),1);
+LF(:)={'LF'};
 
-anova1([eegAcc(1:5),emgAcc(1:5),LFAcc(1:5)],[0,0,0,0,0,1,1,1,1,1,2,2,2,2,2])
-xlabel('EEG - EMG - LF')
+anova1(cat(2,eegAcc(:,1:end-1),emgAcc(:,1:end-1),LFAcc(:,1:end-1)),cat(1,EEG,EMG,LF))
 ylabel('% classified correctly')
 title('ANOVA for EEG, EMG and LF')
 
diff --git a/usedMcode/evaluationCorrelations.m b/usedMcode/evaluationCorrelations.m
index df3c7a8..39da23e 100644
--- a/usedMcode/evaluationCorrelations.m
+++ b/usedMcode/evaluationCorrelations.m
@@ -2,30 +2,41 @@
 
 %% compare methods of recording
 % velocities
-eegCorrKin=struct2array(correlations.EEG.kin);
-emgCorrKin=struct2array(correlations.EMG.kin);
-LFCorrKin=struct2array(correlations.LF.kin);
+eegCorrKin=pickFromStruct(correlations.EEG.kin,1:3);
+emgCorrKin=correlations.EMG.kin.Default;
+LFCorrKin=pickFromStruct(correlations.LF.kin,1:3);
+EEG=cell(3*size(eegCorrKin,1),1);
+EEG(:)={'EEG'};
+EMG=cell(3,1);
+EMG(:)={'EMG'};
+LF=cell(3*size(LFCorrKin,1),1);
+LF(:)={'LF'};
 
-anova1([eegCorrKin,emgCorrKin,LFCorrKin],cat(1,zeros([15,1]),ones([6,1]),2*ones([15,1])))
-xlabel('EEG - EMG - LF')
+anova1(cell2mat(cat(1,eegCorrKin,emgCorrKin,LFCorrKin)'),cat(1,EEG,EMG,LF))
+
 ylabel('correlation recorded - predicted')
 title('ANOVA for EEG, EMG and LF')
-anova1([eegCorrKin,emgCorrKin],cat(1,zeros([15,1]),ones([6,1])))
-anova1([eegCorrKin,LFCorrKin],cat(1,zeros([15,1]),2*ones([15,1])))
-anova1([emgCorrKin,LFCorrKin],cat(1,ones([6,1]),2*ones([15,1])))
+anova1(cell2mat(cat(1,eegCorrKin,emgCorrKin)'),cat(1,EEG,EMG))
+anova1(cell2mat(cat(1,eegCorrKin,LFCorrKin)'),cat(1,EEG,LF))
+anova1(cell2mat(cat(1,emgCorrKin,LFCorrKin)'),cat(1,EMG,LF))
 
 % positions
-eegCorrPos=struct2array(correlations.EEG.pos);
-emgCorrPos=struct2array(correlations.EMG.pos);
-LFCorrPos=struct2array(correlations.LF.pos);
+eegCorrPos=pickFromStruct(correlations.EEG.pos,1:3);
+emgCorrPos=correlations.EMG.pos.Default;
+LFCorrPos=pickFromStruct(correlations.LF.pos,1:3);
+EEG=cell(3*size(eegCorrPos,1),1);
+EEG(:)={'EEG'};
+EMG=cell(3,1);
+EMG(:)={'EMG'};
+LF=cell(3*size(LFCorrPos,1),1);
+LF(:)={'LF'};
 
-anova1([eegCorrPos,emgCorrPos,LFCorrPos],cat(1,zeros([9,1]),ones([3,1]),2*ones([9,1])))
-xlabel('EEG - EMG - LF')
+anova1(cell2mat(cat(1,eegCorrPos,emgCorrPos,LFCorrPos)'),cat(1,EEG,EMG,LF))
 ylabel('correlation recorded - predicted')
 title('ANOVA for EEG, EMG and LF')
-anova1([eegCorrPos,emgCorrPos],cat(1,zeros([9,1]),ones([3,1])))
-anova1([eegCorrPos,LFCorrPos],cat(1,zeros([9,1]),2*ones([9,1])))
-anova1([emgCorrPos,LFCorrPos],cat(1,ones([3,1]),2*ones([9,1])))
+anova1(cell2mat(cat(1,eegCorrPos,emgCorrPos)'),cat(1,EEG,EMG))
+anova1(cell2mat(cat(1,eegCorrPos,LFCorrPos)'),cat(1,EEG,LF))
+anova1(cell2mat(cat(1,emgCorrPos,LFCorrPos)'),cat(1,EMG,LF))
 
 %% compare direct and via
 %kin
@@ -72,8 +83,10 @@
     subplot(sizeY,ceil(noOfPlots/sizeY),i)
     boxplot(input.(sprintf('%s',names{i})))
     title(names{i})
+    ylabel('correlation recorded - predicted')
     ylim(limits_y)
 end
 
 anova1(cat(2,input.Default(:),input.Offset1(:),input.Offset2(:)),[0,1,2])
+ylabel('Offset')
 anova1(cat(2,input.Default(:),input.Offset1(:),input.Pause1(:),input.Pause1Offset1(:)),{'0.5s Pause','0.5s Pause', '1s Pause', '1s Pause'})
diff --git a/usedMcode/pickFromStruct.m b/usedMcode/pickFromStruct.m
new file mode 100644
index 0000000..e268217
--- /dev/null
+++ b/usedMcode/pickFromStruct.m
@@ -0,0 +1,10 @@
+function [ output ] = pickFromStruct( struct,indices )
+%pickFromStruct picks ith entry of a struct
+    names=fieldnames(struct);
+    pick=names(indices);
+    output=cell([size(pick,1),1]);
+    for i=1:size(pick,1)
+       output{i}=struct.(sprintf('%s',pick{i}));
+    end
+end
+