Changed: Shortend filenames in cat_plot_histogram.m

Changed paths: M CHANGES.txt M cat_plot_histogram.m M cat_stat_marks.m
ChristianGaser · May 3, 2024 · fcd62ce · fcd62ce
1 parent 7e858db
commit fcd62ce
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Showing 3 changed files with 21 additions and 5 deletions.
diff --git a/CHANGES.txt b/CHANGES.txt
@@ -1,4 +1,13 @@
 ------------------------------------------------------------------------
+r2577 | gaser | 2024-05-03 21:49:53
+
+Changed paths:
+ M CHANGES.txt
+ M cat_plot_histogram.m
+ M cat_stat_marks.m
+
+Changed: Shortend filenames in cat_plot_histogram.m
+------------------------------------------------------------------------
 r2575 | dahnke | 2024-04-25 19:06:07
 
 Changed paths:

diff --git a/cat_plot_histogram.m b/cat_plot_histogram.m
@@ -217,6 +217,9 @@
 fig = figure;
 set(fig,'MenuBar', 'none', 'Position',[100, 0, opt.winsize]);
 
+% get shorter filenames
+[tmp, fname_tmp] = spm_str_manip(data,'C');
+
 for j = 1:n
   y = dropNaNs(cdata{j});
   if ~isempty(opt.dist)
@@ -242,8 +245,12 @@
   H(j,:) = H0;
   X(j,:) = X0;
   if ischar(data)
-    legend_str{j} = char(spm_str_manip(data(j,:),'a90'));
-
+    if ~isempty(fname_tmp)
+      legend_str{j} = fname_tmp.m{j};
+    else
+      legend_str{j} = char(spm_str_manip(data(j,:),'a90'));
+    end
+
     % give some specific output for (normally distributed) T-values or
     % effect size (D)
     [pth,nam] = spm_fileparts(deblank(data(j,:)));
@@ -253,10 +260,10 @@
       sd = std(y);
       ES = mn/sd;
       TH5 = X0(min(find(cumsum(H0)/sum(H0) > 0.95)));
-      fprintf('%s\tmean=%g\tSD=%g\tES=%g\tTH5=%g\n',data(j,:),mn,sd,ES,TH5);
+      fprintf('%s\tmean=%g\tSD=%g\tES=%g\tTH5=%g\n',legend_str{j},mn,sd,ES,TH5);
       legend_str{j} = sprintf('TH5=%.4f %s',TH5,legend_str{j}); 
     else
-      fprintf('%s\tSD=%g\n',data(j,:),std(y));
+      fprintf('%s\tSD=%g\n',legend_str{j},std(y));
     end
   else
     legend_str{j} = num2str(j);

diff --git a/cat_stat_marks.m b/cat_stat_marks.m
@@ -268,7 +268,7 @@
 %       BWP.NCRm = evallinear(QA.qualitymeasures.NCR    ,0.05,0.35,6);
 %       BWP.MVRm = evallinear(QA.qualitymeasures.res_RMS,0.50,3.00,6);    
 
-      % SIQR is the successor of IQR and also uses the new edge-based resoltion rating 
+      % SIQR is the successor of IQR and also uses the new edge-based resolution rating 
       try
         QAM.qualityratings.SIQR      = rms([QAM.qualityratings.NCR  QAM.qualityratings.res_RMS QAM.qualityratings.res_ECR],8);   
         % further test cases