1 files changed, 0 insertions, 38 deletions
diff --git a/report/pyp_clustering/acl09-short/code/logbinmean.m b/report/pyp_clustering/acl09-short/code/logbinmean.m
deleted file mode 100644
index 23dbb0ac..00000000
--- a/report/pyp_clustering/acl09-short/code/logbinmean.m
+++ /dev/null
@@ -1,38 +0,0 @@
-function [ logbinsvalid , meanval, seval ] = logbinmean( frequency, typecount, NBINS , MinCounts );
-
-% calculate distribution of frequency
-Maxfrequency = max( frequency );
-meanK  = mean( frequency );
-linbins = linspace( log10(1) , log10( Maxfrequency ) , NBINS );
-stepb   = linbins( 2 ) - linbins( 1 );
-
-logbins  = 10.^linbins;
-
-% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-LL       = length( linbins ) - 1;
-for i=1:LL
-  lowb  = linbins( i   );
-  highb = linbins( i+1 );
-  linbinsout( i ) = (highb + lowb) / 2;
-  
-  lowb  = logbins( i   );
-  highb = logbins( i+1 );
-  step  = highb - lowb;
-  logbinsout( i ) = 10^linbinsout( i );
-  
-  indices = find( frequency >= lowb & frequency < highb);
-  
-  meanval(i) = mean(typecount(indices));
-  rawcounts(i) = length(indices);
-  seval(i) = std(typecount(indices))./sqrt(rawcounts(i));
-  
-end
-
-valid = 1:LL;
-valid( find( rawcounts <= MinCounts )) = [];
-
-linbinsvalid   = linbinsout( valid );
-logbinsvalid   = logbinsout( valid );
-
-meanval     =  meanval( valid );
-seval       =  seval( valid );