BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 48 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/initFigures.m b/sourcecodes/bnt-master/KPMtools/initFigures.m
new file mode 100644
index 00000000..6161b50e
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/initFigures.m
@@ -0,0 +1,48 @@
+% initFigures
+% Position 6 figures on the edges of the screen.
+% [xmin ymin w h] where (0,0) = bottom left
+% Numbers assume screen resolution is 1024 x 1280
+
+global FIGNUM NUMFIGS
+FIGNUM = 1; NUMFIGS = 6;
+
+screenMain = true; % set to false if initializing figures for second screen
+%screenMain = false;
+
+if screenMain
+  xoff = 0; 
+else
+  %xoff = 1280;
+  xoff = -1280;
+end
+
+% 2 x 3 design
+w = 400; h = 300;
+xs = [10 450 875] + xoff;
+ys = [650 40];
+
+if 0
+% 3x3 design
+w = 350; h = 250;
+xs = [10 380 750]+xoff;
+ys = [700 350 10];
+end
+
+
+Nfigs = length(xs)*length(ys);
+if screenMain
+  fig = 1; 
+else
+  fig = Nfigs + 1;
+end
+
+for yi=1:length(ys)
+  for xi=1:length(xs)
+    figure(fig);
+    set(gcf, 'position', [xs(xi) ys(yi) w h]);
+    fig = fig + 1;
+  end
+end
+
+% To plot something on the next available figure (with wrap around), use
+% sfigure(FIGNUM); clf; FIGNUM = wrap(FIGNUM+1, NUMFIGS);