# HG changeset patch
# User jstickel@jstickel-10631s.nrel.gov
# Date 1209449404 14400
# Node ID 9f1b322fe0a972531442b7124f133fc75b716b2b
# Parent  41ae2c287e3aa5fa98d4f109d7b771366261f5bb
updated help for tcdf and tinv

diff -r 41ae2c287e3a -r 9f1b322fe0a9 scripts/ChangeLog
--- a/scripts/ChangeLog	Thu Apr 24 15:44:05 2008 -0400
+++ b/scripts/ChangeLog	Tue Apr 29 02:10:04 2008 -0400
@@ -1,3 +1,8 @@
+2008-04-29  Jonathan Stickel  <jjstickel@vcn.com>
+
+	* statistics/distributions/tcdf.m, statistics/distributions/tinv.m:
+	Doc fix.
+
 2008-04-21  John W. Eaton  <jwe@octave.org>
 
 	Version 3.0.1 released.
diff -r 41ae2c287e3a -r 9f1b322fe0a9 scripts/statistics/distributions/tcdf.m
--- a/scripts/statistics/distributions/tcdf.m	Thu Apr 24 15:44:05 2008 -0400
+++ b/scripts/statistics/distributions/tcdf.m	Tue Apr 29 02:10:04 2008 -0400
@@ -18,9 +18,9 @@
 
 ## -*- texinfo -*-
 ## @deftypefn {Function File} {} tcdf (@var{x}, @var{n})
-## For each element of @var{x}, compute the CDF at @var{x} of the
-## t (Student) distribution with @var{n} degrees of freedom, i.e.,
-## PROB (t(@var{n}) <= @var{x}).
+## For each element of @var{x}, compute the cumulative distribution
+## function (CDF) at @var{x} of the t (Student) distribution with
+## @var{n} degrees of freedom, i.e., PROB (t(@var{n}) <= @var{x}).
 ## @end deftypefn
 
 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
diff -r 41ae2c287e3a -r 9f1b322fe0a9 scripts/statistics/distributions/tinv.m
--- a/scripts/statistics/distributions/tinv.m	Thu Apr 24 15:44:05 2008 -0400
+++ b/scripts/statistics/distributions/tinv.m	Tue Apr 29 02:10:04 2008 -0400
@@ -18,9 +18,11 @@
 
 ## -*- texinfo -*-
 ## @deftypefn {Function File} {} tinv (@var{x}, @var{n})
-## For each component of @var{x}, compute the quantile (the inverse of
-## the CDF) at @var{x} of the t (Student) distribution with parameter
-## @var{n}.
+## For each probability value @var{x}, compute the the inverse of the
+## cumulative distribution function (CDF) of the t (Student)
+## distribution with degrees of freedom @var{n}.  This function is
+## analagous to looking in a table for the t-value of a single-tailed
+## distribution.
 ## @end deftypefn
 
 ## For very large n, the "correct" formula does not really work well,