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From: pbristow_at_[hidden]
Date: 2008-02-05 12:49:18


Author: pbristow
Date: 2008-02-05 12:49:18 EST (Tue, 05 Feb 2008)
New Revision: 43115
URL: http://svn.boost.org/trac/boost/changeset/43115

Log:
Added link to the source program (and comment on the [] used to make a Quickbook table.
Text files modified:
   sandbox/math_toolkit/libs/math/example/nc_chi_sq_example.cpp | 12 ++++++++----
   1 files changed, 8 insertions(+), 4 deletions(-)

Modified: sandbox/math_toolkit/libs/math/example/nc_chi_sq_example.cpp
==============================================================================
--- sandbox/math_toolkit/libs/math/example/nc_chi_sq_example.cpp (original)
+++ sandbox/math_toolkit/libs/math/example/nc_chi_sq_example.cpp 2008-02-05 12:49:18 EST (Tue, 05 Feb 2008)
@@ -4,7 +4,7 @@
 // (See accompanying file LICENSE_1_0.txt
 // or copy at http://www.boost.org/LICENSE_1_0.txt)
 
-// Caution: this file contains quickbook markup as well as code
+// Caution: this file contains Quickbook markup as well as code
 // and comments, don't change any of the special comment markups!
 
 //[nccs_eg
@@ -15,10 +15,10 @@
 test at the 5% significance level, for various degrees of freedom
 and non-centrality parameters. The table is deliberately the same
 as Table 6 from "The Non-Central [chi][super 2] and F-Distributions and
-their applications.", P. B. Patnaik, Biometrika, Vol. 36, No. 1/2 (June 1949),
+their applications.", P. B. Patnaik, Biometrika, Vol. 36, No. 1/2 (June 1949),
 202-232.
 
-First we need some includes to access the non central chi squared distribution
+First we need some includes to access the non-central chi squared distribution
 (and some basic std output of course).
 
 */
@@ -40,6 +40,8 @@
    std::cout << "]\n";
 
    /*`
+ (Note: the enclosing [] brackets are to format as a table in Boost.Quickbook).
+
    Enumerate the rows and columns and print the power of the test
    for each table cell:
    */
@@ -69,7 +71,7 @@
 }
 
 /*`
-The output from this program is a table in quickbook format as shown below.
+The output from this program is a table in Boost.Quickbook format as shown below.
 
 We can interpret this as follows - for example if [nu]=10 and [lambda]=10
 then the power of the test is 0.542 - so we have only a 54% chance of
@@ -100,6 +102,8 @@
 [[20][0.0961][0.158][0.232][0.315][0.402][0.489][0.572][0.648][0.716][0.775]]
 ]
 
+See [@../../../example/nc_chi_sq_example.cpp nc_chi_sq_example.cpp] for the full C++ source code.
+
 */
 
 //]


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