--- a/scripts/ChangeLog	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/ChangeLog	Fri Mar 17 17:02:32 2006 +0000
@@ -1,5 +1,15 @@
 2006-03-17  John W. Eaton  <jwe@octave.org>
 
+	* deprecated/lognormal_cdf.m, deprecated/lognormal_inv.m,
+	deprecated/lognormal_pdf.m, deprecated/lognormal_rnd.m:
+	Preserve compatibility with old versions of Octave given new
+	definitions of logncdf, logninv, lognpdf, and lognrnd.
+	* statistics/distributions/logncdf.m,
+	statistics/distributions/logninv.m,
+	statistics/distributions/lognpdf.m,
+	statistics/distributions/lognrnd.m: Compatibility fixes.
+	From Ben Barrowes  <barrowes@alum.mit.edu>
+
 	* deprecated/hypergeometric_rnd.m: Update interface to match
 	current 2.1.x version.
 

--- a/scripts/deprecated/lognormal_cdf.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/deprecated/lognormal_cdf.m	Fri Mar 17 17:02:32 2006 +0000
@@ -33,6 +33,22 @@
 
 function cdf = lognormal_cdf (varargin)
 
- cdf =  logncdf (varargin{:});
+  if (nargin > 1)
+    a = varargin{2};
+    idx = a >= 0;
+    a(idx) = log (a(idx));
+    a(!idx) = NaN;
+    varargin{2} = a;
+  endif
+
+  if (nargin > 2)
+    v = varargin{3};
+    idx = v >= 0;
+    v(idx) = sqrt (v(idx));
+    v(!idx) = NaN;
+    varargin{3} = v;
+  endif
+
+  cdf = logncdf (varargin{:});
 
 endfunction

--- a/scripts/deprecated/lognormal_inv.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/deprecated/lognormal_inv.m	Fri Mar 17 17:02:32 2006 +0000
@@ -33,6 +33,22 @@
 
 function inv = lognormal_inv (varargin)
 
- inv =  logninv (varargin{:});
+  if (nargin > 1)
+    a = varargin{2};
+    idx = a >= 0;
+    a(idx) = log (a(idx));
+    a(!idx) = NaN;
+    varargin{2} = a;
+  endif
+
+  if (nargin > 2)
+    v = varargin{3};
+    idx = v >= 0;
+    v(idx) = sqrt (v(idx));
+    v(!idx) = NaN;
+    varargin{3} = v;
+  endif
+
+  inv = logninv (varargin{:});
 
 endfunction

--- a/scripts/deprecated/lognormal_pdf.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/deprecated/lognormal_pdf.m	Fri Mar 17 17:02:32 2006 +0000
@@ -33,6 +33,22 @@
 
 function pdf = lognormal_pdf (varargin)
 
- pdf =  lognpdf (varargin{:});
+  if (nargin > 1)
+    a = varargin{2};
+    idx = a >= 0;
+    a(idx) = log (a(idx));
+    a(!idx) = NaN;
+    varargin{2} = a;
+  endif
+
+  if (nargin > 2)
+    v = varargin{3};
+    idx = v >= 0;
+    v(idx) = sqrt (v(idx));
+    v(!idx) = NaN;
+    varargin{3} = v;
+  endif
+
+  pdf = lognpdf (varargin{:});
 
 endfunction

--- a/scripts/deprecated/lognormal_rnd.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/deprecated/lognormal_rnd.m	Fri Mar 17 17:02:32 2006 +0000
@@ -34,6 +34,22 @@
 
 function rnd = lognormal_rnd (varargin)
 
- rnd =  lognrnd (varargin{:});
+  if (nargin > 1)
+    a = varargin{2};
+    idx = a >= 0;
+    a(idx) = log (a(idx));
+    a(!idx) = NaN;
+    varargin{2} = a;
+  endif
+
+  if (nargin > 2)
+    v = varargin{3};
+    idx = v >= 0;
+    v(idx) = sqrt (v(idx));
+    v(!idx) = NaN;
+    varargin{3} = v;
+  endif
+
+ rnd = lognrnd (varargin{:});
 
 endfunction

--- a/scripts/statistics/distributions/logncdf.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/statistics/distributions/logncdf.m	Fri Mar 17 17:02:32 2006 +0000
@@ -18,60 +18,60 @@
 ## 02110-1301, USA.
 
 ## -*- texinfo -*-
-## @deftypefn {Function File} {} logncdf (@var{x}, @var{a}, @var{v})
+## @deftypefn {Function File} {} logncdf (@var{x}, @var{mu}, @var{sigma})
 ## For each element of @var{x}, compute the cumulative distribution
 ## function (CDF) at @var{x} of the lognormal distribution with
-## parameters @var{a} and @var{v}.  If a random variable follows this
+## parameters @var{mu} and @var{sigma}.  If a random variable follows this
 ## distribution, its logarithm is normally distributed with mean
-## @code{log (@var{a})} and variance @var{v}.
+## @var{mu} and standard deviation @var{sigma}.
 ##
-## Default values are @var{a} = 1, @var{v} = 1.
+## Default values are @var{mu} = 1, @var{sigma} = 1.
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
 ## Description: CDF of the log normal distribution
 
-function cdf = logncdf (x, a, v)
+function cdf = logncdf (x, mu, sigma)
 
   if (! ((nargin == 1) || (nargin == 3)))
-    usage ("logncdf (x, a, v)");
+    usage ("logncdf (x, mu, sigma)");
   endif
 
   if (nargin == 1)
-    a = 1;
-    v = 1;
+    mu = 0;
+    sigma = 1;
   endif
 
   ## The following "straightforward" implementation unfortunately does
   ## not work (because exp (Inf) -> NaN etc):
-  ## cdf = normal_cdf (log (x), log (a), v);
+  ## cdf = normal_cdf (log (x), log (mu), sigma);
   ## Hence ...
 
-  if (!isscalar (a) || !isscalar (v))
-    [retval, x, a, v] = common_size (x, a, v);
+  if (!isscalar (mu) || !isscalar (sigma))
+    [retval, x, mu, sigma] = common_size (x, mu, sigma);
     if (retval > 0)
-      error ("logncdf: x, a and v must be of common size or scalars");
+      error ("logncdf: x, mu and sigma must be of common size or scalars");
     endif
   endif
 
   cdf = zeros (size (x));
 
-  k = find (isnan (x) | !(a > 0) | !(a < Inf) | !(v > 0) | !(v < Inf));
+  k = find (isnan (x) | !(sigma > 0) | !(sigma < Inf));
   if (any (k))
     cdf(k) = NaN;
   endif
 
-  k = find ((x == Inf) & (a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+  k = find ((x == Inf) & (sigma > 0) & (sigma < Inf));
   if (any (k))
     cdf(k) = 1;
   endif
 
-  k = find ((x > 0) & (x < Inf) & (a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+  k = find ((x > 0) & (x < Inf) & (sigma > 0) & (sigma < Inf));
   if (any (k))
-    if (isscalar (a) && isscalar (v))
-      cdf(k) = stdnormal_cdf ((log (x(k)) - log (a)) / sqrt (v));
+    if (isscalar (mu) && isscalar (sigma))
+      cdf(k) = stdnormal_cdf ((log (x(k)) - mu) / sigma);
     else
-      cdf(k) = stdnormal_cdf ((log (x(k)) - log (a(k))) ./ sqrt (v(k)));
+      cdf(k) = stdnormal_cdf ((log (x(k)) - mu(k)) ./ sigma(k));
     endif
   endif
 

--- a/scripts/statistics/distributions/logninv.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/statistics/distributions/logninv.m	Fri Mar 17 17:02:32 2006 +0000
@@ -18,61 +18,60 @@
 ## 02110-1301, USA.
 
 ## -*- texinfo -*-
-## @deftypefn {Function File} {} logninv (@var{x}, @var{a}, @var{v})
+## @deftypefn {Function File} {} logninv (@var{x}, @var{mu}, @var{sigma})
 ## For each element of @var{x}, compute the quantile (the inverse of the
-## CDF) at @var{x} of the lognormal distribution with parameters @var{a}
-## and @var{v}.  If a random variable follows this distribution, its
-## logarithm is normally distributed with mean @code{log (@var{a})} and
-## variance @var{v}.
+## CDF) at @var{x} of the lognormal distribution with parameters @var{mu}
+## and @var{sigma}.  If a random variable follows this distribution, its
+## logarithm is normally distributed with mean @code{log (@var{mu})} and
+## variance @var{sigma}.
 ##
-## Default values are @var{a} = 1, @var{v} = 1.
+## Default values are @var{mu} = 1, @var{sigma} = 1.
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
 ## Description: Quantile function of the log normal distribution
 
-function inv = logninv (x, a, v)
+function inv = logninv (x, mu, sigma)
 
   if (! ((nargin == 1) || (nargin == 3)))
-    usage ("logninv (x, a, v)");
+    usage ("logninv (x, mu, sigma)");
   endif
 
   if (nargin == 1)
-    a = 1;
-    v = 1;
+    mu = 0;
+    sigma = 1;
   endif
 
   ## The following "straightforward" implementation unfortunately does
   ## not work (because exp (Inf) -> NaN):
-  ## inv = exp (normal_inv (x, log (a), v));
+  ## inv = exp (normal_inv (x, mu, sigma));
   ## Hence ...
 
-  if (!isscalar (a) || !isscalar (v))
-    [retval, x, a, v] = common_size (x, a, v);
+  if (!isscalar (mu) || !isscalar (sigma))
+    [retval, x, mu, sigma] = common_size (x, mu, sigma);
     if (retval > 0)
-      error ("logninv: x, a and v must be of common size or scalars");
+      error ("logninv: x, mu and sigma must be of common size or scalars");
     endif
   endif
 
   inv = zeros (size (x));
 
-  k = find (!(x >= 0) | !(x <= 1) | !(a > 0) | !(a < Inf)
-	    | !(v > 0) | !(v < Inf));
+  k = find (!(x >= 0) | !(x <= 1) | !(sigma > 0) | !(sigma < Inf));
   if (any (k))
     inv(k) = NaN;
   endif
 
-  k = find ((x == 1) & (a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+  k = find ((x == 1) & (sigma > 0) & (sigma < Inf));
   if (any (k))
     inv(k) = Inf;
   endif
 
-  k = find ((x > 0) & (x < 1) & (a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+  k = find ((x > 0) & (x < 1) & (sigma > 0) & (sigma < Inf));
   if (any (k))
-    if (isscalar (a) && isscalar (v))
-      inv(k) = a .* exp (sqrt (v) .* stdnormal_inv (x(k)));
+    if (isscalar (mu) && isscalar (sigma))
+      inv(k) = exp (mu) .* exp (sigma .* stdnormal_inv (x(k)));
     else
-      inv(k) = a(k) .* exp (sqrt (v(k)) .* stdnormal_inv (x(k)));
+      inv(k) = exp (mu(k)) .* exp (sigma(k) .* stdnormal_inv (x(k)));
     endif
   endif
 

--- a/scripts/statistics/distributions/lognpdf.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/statistics/distributions/lognpdf.m	Fri Mar 17 17:02:32 2006 +0000
@@ -18,56 +18,56 @@
 ## 02110-1301, USA.
 
 ## -*- texinfo -*-
-## @deftypefn {Function File} {} lognpdf (@var{x}, @var{a}, @var{v})
+## @deftypefn {Function File} {} lognpdf (@var{x}, @var{mu}, @var{sigma})
 ## For each element of @var{x}, compute the probability density function
 ## (PDF) at @var{x} of the lognormal distribution with parameters
-## @var{a} and @var{v}.  If a random variable follows this distribution,
-## its logarithm is normally distributed with mean @code{log (@var{a})}
-## and variance @var{v}.
+## @var{mu} and @var{sigma}.  If a random variable follows this distribution,
+## its logarithm is normally distributed with mean @var{mu}
+## and standard deviation @var{sigma}.
 ##
-## Default values are @var{a} = 1, @var{v} = 1.
+## Default values are @var{mu} = 1, @var{sigma} = 1.
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
 ## Description: PDF of the log normal distribution
 
-function pdf = lognpdf (x, a, v)
+function pdf = lognpdf (x, mu, sigma)
 
   if (! ((nargin == 1) || (nargin == 3)))
-    usage ("lognpdf (x, a, v)");
+    usage ("lognpdf (x, mu, sigma)");
   endif
 
   if (nargin == 1)
-    a = 1;
-    v = 1;
+    mu = 0;
+    sigma = 1;
   endif
 
   ## The following "straightforward" implementation unfortunately does
   ## not work for the special cases (Inf, ...)
-  ## pdf = (x > 0) ./ x .* normal_pdf (log (x), log (a), v);
+  ## pdf = (x > 0) ./ x .* normal_pdf (log (x), mu, sigma);
   ## Hence ...
 
-  if (!isscalar (a) || !isscalar (v))
-    [retval, x, a, v] = common_size (x, a, v);
+  if (!isscalar (mu) || !isscalar (sigma))
+    [retval, x, mu, sigma] = common_size (x, mu, sigma);
     if (retval > 0)
-      error ("lognpdf: x, a and v must be of common size or scalars");
+      error ("lognpdf: x, mu and sigma must be of common size or scalars");
     endif
   endif
 
   pdf = zeros (size (x));
 
-  k = find (isnan (x) | !(a > 0) | !(a < Inf) | !(v > 0) | !(v < Inf));
+  k = find (isnan (x) | !(sigma > 0) | !(sigma < Inf));
   if (any (k))
     pdf(k) = NaN;
   endif
 
-  k = find ((x > 0) & (x < Inf) & (a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+  k = find ((x > 0) & (x < Inf) & (sigma > 0) & (sigma < Inf));
   if (any (k))
-    if (isscalar (a) && isscalar (v))
-      pdf(k) = normpdf (log (x(k)), log (a), v) ./ x(k);
+    if (isscalar (mu) && isscalar (sigma))
+      pdf(k) = normpdf (log (x(k)), mu, sigma.^2) ./ x(k);
     else
-      pdf(k) = normpdf (log (x(k)), log (a(k)), v(k)) ./ x(k);
-  endif
+      pdf(k) = normpdf (log (x(k)), mu(k), sigma(k).^2) ./ x(k);
+    endif
   endif
 
 endfunction

--- a/scripts/statistics/distributions/lognrnd.m	Fri Mar 17 15:14:41 2006 +0000
+++ b/scripts/statistics/distributions/lognrnd.m	Fri Mar 17 17:02:32 2006 +0000
@@ -1,3 +1,4 @@
+
 ## Copyright (C) 1995, 1996, 1997  Kurt Hornik
 ##
 ## This file is part of Octave.
@@ -18,27 +19,27 @@
 ## 02110-1301, USA.
 
 ## -*- texinfo -*-
-## @deftypefn {Function File} {} lognrnd (@var{a}, @var{v}, @var{r}, @var{c})
-## @deftypefnx {Function File} {} lognrnd (@var{a}, @var{v}, @var{sz})
+## @deftypefn {Function File} {} lognrnd (@var{mu}, @var{sigma}, @var{r}, @var{c})
+## @deftypefnx {Function File} {} lognrnd (@var{mu}, @var{sigma}, @var{sz})
 ## Return an @var{r} by @var{c} matrix of random samples from the
-## lognormal distribution with parameters @var{a} and @var{v}. Both
-## @var{a} and @var{v} must be scalar or of size @var{r} by @var{c}.
+## lognormal distribution with parameters @var{mu} and @var{sigma}. Both
+## @var{mu} and @var{sigma} must be scalar or of size @var{r} by @var{c}.
 ## Or if @var{sz} is a vector, create a matrix of size @var{sz}.
 ##
 ## If @var{r} and @var{c} are omitted, the size of the result matrix is
-## the common size of @var{a} and @var{v}.
+## the common size of @var{mu} and @var{sigma}.
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
 ## Description: Random deviates from the log normal distribution
 
-function rnd = lognrnd (a, v, r, c)
+function rnd = lognrnd (mu, sigma, r, c)
 
   if (nargin > 1)
-    if (!isscalar(a) || !isscalar(v)) 
-      [retval, a, v] = common_size (a, v);
+    if (!isscalar(mu) || !isscalar(sigma)) 
+      [retval, mu, sigma] = common_size (mu, sigma);
       if (retval > 0)
-	error ("lognrnd: a and v must be of common size or scalar");
+	error ("lognrnd: mu and sigma must be of common size or scalar");
       endif
     endif
   endif
@@ -52,9 +53,9 @@
     endif
     sz = [r, c];
 
-    if (any (size (a) != 1) && 
-	((length (size (a)) != length (sz)) || any (size (a) != sz)))
-      error ("lognrnd: a and b must be scalar or of size [r, c]");
+    if (any (size (mu) != 1) && 
+	((length (size (mu)) != length (sz)) || any (size (mu) != sz)))
+      error ("lognrnd: mu and sigma must be scalar or of size [r, c]");
     endif
 
   elseif (nargin == 3)
@@ -66,34 +67,34 @@
       error ("lognrnd: r must be a postive integer or vector");
     endif
 
-    if (any (size (a) != 1) && 
-	((length (size (a)) != length (sz)) || any (size (a) != sz)))
-      error ("lognrnd: a and b must be scalar or of size sz");
+    if (any (size (mu) != 1) && 
+	((length (size (mu)) != length (sz)) || any (size (mu) != sz)))
+      error ("lognrnd: mu and sigma must be scalar or of size sz");
     endif
   elseif (nargin == 2)
-    sz = size(a);
+    sz = size(mu);
   else
-    usage ("lognrnd (a, v, r, c)");
+    usage ("lognrnd (mu, sigma, r, c)");
   endif
 
-  if (isscalar (a) && isscalar (v))
-    if  (!(a > 0) | !(a < Inf) | !(v > 0) | !(v < Inf))
+  if (isscalar (mu) && isscalar (sigma))
+    if  (!(mu > 0) | !(mu < Inf) | !(sigma > 0) | !(sigma < Inf))
       rnd = NaN * ones (sz);
-    elseif find ((a > 0) & (a < Inf) & (v > 0) & (v < Inf));
-      rnd = a * exp (sqrt (v) .* randn (sz));
+    elseif find ((mu > 0) & (mu < Inf) & (sigma > 0) & (sigma < Inf));
+      rnd = exp (mu) * exp (sigma .* randn (sz));
     else
       rnd = zeros (sz);
     endif
   else
     rnd = zeros (sz);
-    k = find (!(a > 0) | !(a < Inf) | !(v > 0) | !(v < Inf));
+    k = find (!(mu > 0) | !(mu < Inf) | !(sigma > 0) | !(sigma < Inf));
     if (any (k))
       rnd(k) = NaN * ones (1, length (k));
     endif
 
-    k = find ((a > 0) & (a < Inf) & (v > 0) & (v < Inf));
+    k = find ((mu > 0) & (mu < Inf) & (sigma > 0) & (sigma < Inf));
     if (any (k))
-      rnd(k) = a(k) .* exp (sqrt (v(k)) .* randn (1, length (k)));
+      rnd(k) = exp (mu(k)) .* exp (sigma(k) .* randn (1, length (k)));
     endif
   endif