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changeset 5584:3d9ddfdc6d3e

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[project @ 2005-12-15 01:29:34 by jwe]
author jwe
date Thu, 15 Dec 2005 01:29:34 +0000
parents 8eebdcfde94e
children 6dbb3f6d0054
files scripts/plot/hist.m scripts/sparse/spstats.m
diffstat 2 files changed, 5 insertions(+), 5 deletions(-) [+]
line wrap: on
line diff
--- a/scripts/plot/hist.m
+++ b/scripts/plot/hist.m
@@ -139,8 +139,8 @@
 %!  assert(nn, [2,1,1]);
 %!test
 %!  [nn,xx]=hist([1:4]',3);
-%!  assert(xx, [1.5,2.5,3.5]');
-%!  assert(nn, [2,1,1]');
+%!  assert(xx, [1.5,2.5,3.5]);
+%!  assert(nn, [2,1,1]);
 %!test
 %!  [nn,xx]=hist([[1:4]',[1:4]'],3);
 %!  assert(xx, [[1.5,2.5,3.5]',[1.5,2.5,3.5]']);
--- a/scripts/sparse/spstats.m
+++ b/scripts/sparse/spstats.m
@@ -10,7 +10,7 @@
 ## is the mean of the non-zeros in each column, and @var{var} is the  
 ## variance of the non-zeros in each column.
 ##
-## Called with two output arguments, if @var{s} is the data and @var{j}
+## Called with two input arguments, if @var{s} is the data and @var{j}
 ## is the bin number for the data, compute the stats for each bin.  In 
 ## this case, bins can contain data values of zero, whereas with 
 ## @code{spstats (@var{s})} the zeros may disappear.
@@ -21,14 +21,14 @@
     usage("[count, mean, var] = spstats(S)  OR  spstats(x,j)");
   endif
 
-  [n, m] = size (S);
   if nargin == 1
-    [i,j,v] = spfind (S);
+    [i,j,v] = find (S);
   else
     v = S;    
     i = 1:length (v);
     S = sparse (i, j, v);
   endif 
+  [n, m] = size (S);
 
   count = spsum (sparse (i, j, 1, n, m));
   if (nargout > 1)