--- a/scripts/plot/ndgrid.m	Thu Feb 16 14:23:13 2012 -0800
+++ b/scripts/plot/ndgrid.m	Thu Feb 16 15:44:42 2012 -0800
@@ -20,13 +20,13 @@
 ## @deftypefn  {Function File} {[@var{y1}, @var{y2}, @dots{}, @var{y}n] =} ndgrid (@var{x1}, @var{x2}, @dots{}, @var{x}n)
 ## @deftypefnx {Function File} {[@var{y1}, @var{y2}, @dots{}, @var{y}n] =} ndgrid (@var{x})
 ## Given n vectors @var{x1}, @dots{} @var{x}n, @code{ndgrid} returns
-## n arrays of dimension n. The elements of the i-th output argument
+## n arrays of dimension n.  The elements of the i-th output argument
 ## contains the elements of the vector @var{x}i repeated over all
 ## dimensions different from the i-th dimension.  Calling ndgrid with
 ## only one input argument @var{x} is equivalent of calling ndgrid with
 ## all n input arguments equal to @var{x}:
 ##
-## [@var{y1}, @var{y2}, @dots{},  @var{y}n] = ndgrid (@var{x}, @dots{}, @var{x})
+## [@var{y1}, @var{y2}, @dots{}, @var{y}n] = ndgrid (@var{x}, @dots{}, @var{x})
 ## @seealso{meshgrid}
 ## @end deftypefn
 

--- a/scripts/plot/uiwait.m	Thu Feb 16 14:23:13 2012 -0800
+++ b/scripts/plot/uiwait.m	Thu Feb 16 15:44:42 2012 -0800
@@ -29,9 +29,9 @@
 ##
 ## When specified, @var{timeout} defines the number of seconds to wait
 ## for the figure deletion or the @code{uiresume} call.  The timeout value
-## must be at least 1. If a smaller value is specified, a warning is issued
+## must be at least 1.  If a smaller value is specified, a warning is issued
 ## and a timeout value of 1 is used instead.  If a non-integer value is
-## specified, it is truncated towards 0. If @var{timeout} is not specified,
+## specified, it is truncated towards 0.  If @var{timeout} is not specified,
 ## the program execution is suspended indefinitely.
 ## @seealso{uiresume, waitfor}
 ## @end deftypefn

--- a/scripts/sparse/sprandn.m	Thu Feb 16 14:23:13 2012 -0800
+++ b/scripts/sparse/sprandn.m	Thu Feb 16 15:44:42 2012 -0800
@@ -24,7 +24,7 @@
 ## @deftypefnx {Function File} {} sprandn (@var{s})
 ## Generate a random sparse matrix.  The size of the matrix will be
 ## @var{m} by @var{n}, with a density of values given by @var{d}.
-## @var{d} should be between 0 and 1. Values will be normally
+## @var{d} should be between 0 and 1.  Values will be normally
 ## distributed with mean of zero and variance 1.
 ##
 ## If called with a single matrix argument, a random sparse matrix is

--- a/scripts/sparse/sprandsym.m	Thu Feb 16 14:23:13 2012 -0800
+++ b/scripts/sparse/sprandsym.m	Thu Feb 16 15:44:42 2012 -0800
@@ -22,7 +22,7 @@
 ## @deftypefnx {Function File} {} sprandsym (@var{s})
 ## Generate a symmetric random sparse matrix.  The size of the matrix will be
 ## @var{n} by @var{n}, with a density of values given by @var{d}.
-## @var{d} should be between 0 and 1. Values will be normally
+## @var{d} should be between 0 and 1.  Values will be normally
 ## distributed with mean of zero and variance 1.
 ##
 ## If called with a single matrix argument, a random sparse matrix is

--- a/scripts/statistics/base/quantile.m	Thu Feb 16 14:23:13 2012 -0800
+++ b/scripts/statistics/base/quantile.m	Thu Feb 16 15:44:42 2012 -0800
@@ -51,10 +51,10 @@
 ## interpolation function respecting each methods' representative cdf.
 ##
 ## @enumerate 4
-## @item Method 4: p(k) = k / n. That is, linear interpolation of the
+## @item Method 4: p(k) = k / n.  That is, linear interpolation of the
 ## empirical cdf.
 ##
-## @item Method 5: p(k) = (k - 0.5) / n. That is a piecewise linear function
+## @item Method 5: p(k) = (k - 0.5) / n.  That is a piecewise linear function
 ## where the knots are the values midway through the steps of the empirical
 ## cdf.
 ##