
Installing the NaN-tb for Octave and Matlab:
--------------------------------------------
a) Extract files and save them in /your/directory/structure/to/NaN/

b) Include the path with one of the following commands: 

        HOME = getenv('HOME');   % if needed, change path to /your/directory/structure/to/

	addpath([HOME,'/NaN/')
	addpath([HOME,'/NaN/inst')
	addpath([HOME,'/NaN/src')

   Make sure the functions in the NaN-toolbox are found before the default functions.
   The NaN-toolbox contains some functions like mean, var, std, cor, cov, and corrcoef 
   which work equivalently than the orginal function - the only exception is that 
   missing values (NaN) are skipped. [You can turn off that behavior by 
   settting flag_implicit_skip_nan(0) ].
   Alternatively, You can avoid this by including the directories at the end of the path
   
	addpath([HOME,'/NaN/','-end')
	addpath([HOME,'/NaN/inst','-end')
	addpath([HOME,'/NaN/src','-end')

c) The use of mex-files is recommended for using the full capabilities of the NaN-toolbox.
   Without the mex-files, SVN- and Liblinear classifiers are not available, and in some cases
   slower m-functions are used. 

   Setup your mex compiler using GCC, the GNU Compiler Collection (or some derivative like MinGW)
      >> mex -setup
   Run MAKE from the directory .../NaN/src/

   Compiling the mex-files is well tested on Linux, but might not work completely on other platforms.
   Specifically, on Windows you need to setup gnumex and gcc (typically mingw or cygwin).
   (covm_mex and sumskipnan_mex are strongly recommended for performance reasons,
   train.mex and svmtrain_mex are needed when using support vector machines) 
   Precompiled binaries are provided for 32bit Windows with Matlab 7.x (tested with 7.1 and 7.6).

d) run "naninsttest" from the Octave/Matlab command line prompt 
      >> naninsttest
  In case of success, You should see the following message: 
      >> naninsttest
      NANINSTTEST successful - your NaN-tools are correctly installed

  This checks whether the installation was successful.

-----------------------

  $Id: INSTALL 7685 2010-09-08 10:05:43Z schloegl $
  Copyright (c) 2000-2003,2005,2006,2009,2010 by Alois Schloegl <a.schloegl@ieee.org>
  This is part of the NaN-toolbox
  http://www.biosig-consulting.com/matlab/NaN/

