Mercurial > hg > octave-lojdl
changeset 14373:d00900b3dc4b
doc: Use two spaces at start of sentence.
* ndgrid.m, uiwait.m, sprandn.m, sprandsym.m, quantile.m:
Use two spaces at start of sentence.
author | Rik <octave@nomad.inbox5.com> |
---|---|
date | Thu, 16 Feb 2012 15:44:42 -0800 |
parents | 3f6489feca1e |
children | d31156b96abe |
files | scripts/plot/ndgrid.m scripts/plot/uiwait.m scripts/sparse/sprandn.m scripts/sparse/sprandsym.m scripts/statistics/base/quantile.m |
diffstat | 5 files changed, 8 insertions(+), 8 deletions(-) [+] |
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--- a/scripts/plot/ndgrid.m +++ b/scripts/plot/ndgrid.m @@ -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 +++ b/scripts/plot/uiwait.m @@ -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 +++ b/scripts/sparse/sprandn.m @@ -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 +++ b/scripts/sparse/sprandsym.m @@ -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 +++ b/scripts/statistics/base/quantile.m @@ -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. ##