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diff scripts/statistics/distributions/expinv.m @ 13171:19b9f17d22af

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Overhaul of statistical distribution functions Support class "single" 75% reduction in memory usage More Matlab compatibility for corner cases * betacdf.m, betainv.m, betapdf.m, betarnd.m, binocdf.m, binoinv.m, binopdf.m, binornd.m, cauchy_cdf.m, cauchy_inv.m, cauchy_pdf.m, cauchy_rnd.m, chi2cdf.m, chi2inv.m, chi2pdf.m, chi2rnd.m, discrete_cdf.m, discrete_inv.m, discrete_pdf.m, discrete_rnd.m, empirical_cdf.m, empirical_inv.m, empirical_pdf.m, empirical_rnd.m, expcdf.m, expinv.m, exppdf.m, exprnd.m, fcdf.m, finv.m, fpdf.m, frnd.m, gamcdf.m, gaminv.m, gampdf.m, gamrnd.m, geocdf.m, geoinv.m, geopdf.m, geornd.m, hygecdf.m, hygeinv.m, hygepdf.m, hygernd.m, kolmogorov_smirnov_cdf.m, laplace_cdf.m, laplace_inv.m, laplace_pdf.m, laplace_rnd.m, logistic_cdf.m, logistic_inv.m, logistic_pdf.m, logistic_rnd.m, logncdf.m, logninv.m, lognpdf.m, lognrnd.m, nbincdf.m, nbininv.m, nbinpdf.m, nbinrnd.m, normcdf.m, norminv.m, normpdf.m, normrnd.m, poisscdf.m, poissinv.m, poisspdf.m, poissrnd.m, stdnormal_cdf.m, stdnormal_inv.m, stdnormal_pdf.m, stdnormal_rnd.m, tcdf.m, tinv.m, tpdf.m, trnd.m, unidcdf.m, unidinv.m, unidpdf.m, unidrnd.m, unifcdf.m, unifinv.m, unifpdf.m, unifrnd.m, wblcdf.m, wblinv.m, wblpdf.m, wblrnd.m: Return "single" outputs for "single" inputs, Use logical indexing rather than find() for 75% memory savings, Add tests for all functions, Use consistent documentation across all functions, More Matlab compatibilitcy for corner cases.
author Rik <octave@nomad.inbox5.com>
date Tue, 20 Sep 2011 12:13:13 -0700
parents fd0a3ac60b0e
children 72c96de7a403
line wrap: on
line diff
--- a/scripts/statistics/distributions/expinv.m	Tue Sep 20 11:41:59 2011 -0700
+++ b/scripts/statistics/distributions/expinv.m	Tue Sep 20 12:13:13 2011 -0700
@@ -1,3 +1,4 @@
+## Copyright (C) 2011 Rik Wehbring
 ## Copyright (C) 1995-2011 Kurt Hornik
 ##
 ## This file is part of Octave.
@@ -19,8 +20,7 @@
 ## -*- texinfo -*-
 ## @deftypefn {Function File} {} expinv (@var{x}, @var{lambda})
 ## For each element of @var{x}, compute the quantile (the inverse of the
-## CDF) at @var{x} of the exponential distribution with mean
-## @var{lambda}.
+## CDF) at @var{x} of the exponential distribution with mean @var{lambda}.
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
@@ -32,41 +32,64 @@
     print_usage ();
   endif
 
-  if (!isscalar (x) && !isscalar(lambda))
+  if (!isscalar (lambda))
     [retval, x, lambda] = common_size (x, lambda);
     if (retval > 0)
-      error ("expinv: X and LAMBDA must be of common size or scalar");
+      error ("expinv: X and LAMBDA must be of common size or scalars");
     endif
   endif
 
-  if (isscalar (x))
-    sz = size (lambda);
-  else
-    sz = size (x);
+  if (iscomplex (x) || iscomplex (lambda))
+    error ("expinv: X and LAMBDA must not be complex");
   endif
 
-  inv = zeros (sz);
+  if (!isscalar (x))
+    sz = size (x);
+  else
+    sz = size (lambda);
+  endif
 
-  k = find (!(lambda > 0) | (x < 0) | (x > 1) | isnan (x));
-  if (any (k))
-    inv(k) = NaN;
+  if (iscomplex (x) || iscomplex (lambda))
+    error ("expinv: X and LAMBDA must not be complex");
   endif
 
-  k = find ((x == 1) & (lambda > 0));
-  if (any (k))
-    inv(k) = Inf;
+  if (isa (x, "single") || isa (lambda, "single"))
+    inv = NaN (size (x), "single");
+  else
+    inv = NaN (size (x));
   endif
 
-  k = find ((x > 0) & (x < 1) & (lambda > 0));
-  if (any (k))
-    if isscalar (lambda)
-      inv(k) = - lambda .* log (1 - x(k));
-    elseif isscalar (x)
-      inv(k) = - lambda(k) .* log (1 - x);
-    else
-      inv(k) = - lambda(k) .* log (1 - x(k));
-    endif
+  k = (x == 1) & (lambda > 0);
+  inv(k) = Inf;
+
+  k = (x >= 0) & (x < 1) & (lambda > 0);
+  if isscalar (lambda)
+    inv(k) = - lambda * log (1 - x(k));
+  else
+    inv(k) = - lambda(k) .* log (1 - x(k));
   endif
 
 endfunction
 
+
+%!shared x
+%! x = [-1 0 0.3934693402873666 1 2];
+%!assert(expinv (x, 2*ones(1,5)), [NaN 0 1 Inf NaN], eps);
+%!assert(expinv (x, 2), [NaN 0 1 Inf NaN], eps);
+%!assert(expinv (x, 2*[1 0 NaN 1 1]), [NaN NaN NaN Inf NaN], eps);
+%!assert(expinv ([x(1:2) NaN x(4:5)], 2), [NaN 0 NaN Inf NaN], eps);
+
+%% Test class of input preserved
+%!assert(expinv ([x, NaN], 2), [NaN 0 1 Inf NaN NaN], eps);
+%!assert(expinv (single([x, NaN]), 2), single([NaN 0 1 Inf NaN NaN]), eps);
+%!assert(expinv ([x, NaN], single(2)), single([NaN 0 1 Inf NaN NaN]), eps);
+
+%% Test input validation
+%!error expinv ()
+%!error expinv (1)
+%!error expinv (1,2,3)
+%!error expinv (ones(3),ones(2))
+%!error expinv (ones(2),ones(3))
+%!error expinv (i, 2)
+%!error expinv (2, i)
+