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From Libamtrack

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If you are new to libamtrack or looking for an easy access to the most important functions, the <span class="plainlinks">[http://webgui.libamtrack.dkfz.org/test '''web interface''']</span> is probably best for you. Please note that this still in test phase.
If you are new to libamtrack or looking for an easy access to the most important functions, the <span class="plainlinks">[http://webgui.libamtrack.dkfz.org/test '''web interface''']</span> is probably best for you. Please note that this still in test phase.
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All libamtrack <b>downloads</b> are found <span class="plainlinks">[http://sourceforge.net/projects/libamtrack/files/ '''here at Sourceforge.net''']</span>.
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'''The easiest way''' to access (almost all of) libamtrack's functionality is to use the <span class="plainlinks">[http://cran.r-project.org/ '''R environment''']</span> together with the '''libamtrack package'''. As its latest version is hosted on CRAN, you just have to type "install.packages('libamtrack')" from within R to get it. Some users might also prefer an advanced IDE to R such as <span class="plainlinks">[http://rstudio.com/ R studio]</span>.
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== Sources ==
== Sources ==
* To compile libamtrack from sources:
* To compile libamtrack from sources:
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** Download the lastest sources <span class="plainlinks">[http://sourceforge.net/projects/libamtrack/files/0.5.0/ here]</span>
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** Download the lastest sources <span class="plainlinks">[http://sourceforge.net/projects/libamtrack/files/0.5.4/ from sourceforge.net]</span>
** Follow the [[compile sources]] instructions.
** Follow the [[compile sources]] instructions.
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= Important =
 
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Please note that libamtrack needs <b>GSL</b>, the [http://www.gnu.org/software/gsl/ GNU Scientific Library], to work.<br>
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=== Important ===
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GSL is included in most GNU/Linux distributions (you maybe have to install it via your package management system or similar). Binary installer exist for [http://ascend4.org/Binary_installer_for_GSL-1.13_on_Mac_OS_X Mac OS X] and [http://wiki.rglab.org/index.php?title=Public:The_GSL_library_and_R Windows]. Of course, you can also compile GSL from sources yourself, also for Window using [http://www.mingw.org/ MSYS/MinGW] or [http://www.cygwin.com/ cygwin] (where a precompiled package exists).
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Please note that compilation of libamtrack requires <b>GSL</b>, the [http://www.gnu.org/software/gsl/ GNU Scientific Library]. GSL is included in most GNU/Linux distributions (you maybe have to install it via your package management system or similar). Binary installer exist for [http://ascend4.org/Binary_installer_for_GSL-1.13_on_Mac_OS_X Mac OS X] and [http://wiki.rglab.org/index.php?title=Public:The_GSL_library_and_R Windows]. Of course, you can also compile GSL from sources yourself, also for Window using [http://www.mingw.org/ MSYS/MinGW] or [http://www.cygwin.com/ cygwin] (where a precompiled package exists).
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Revision as of 19:56, 21 January 2013

If you are new to libamtrack or looking for an easy access to the most important functions, the web interface is probably best for you. Please note that this still in test phase.

The easiest way to access (almost all of) libamtrack's functionality is to use the R environment together with the libamtrack package. As its latest version is hosted on CRAN, you just have to type "install.packages('libamtrack')" from within R to get it. Some users might also prefer an advanced IDE to R such as R studio.

Sources

Important

Please note that compilation of libamtrack requires GSL, the GNU Scientific Library. GSL is included in most GNU/Linux distributions (you maybe have to install it via your package management system or similar). Binary installer exist for Mac OS X and Windows. Of course, you can also compile GSL from sources yourself, also for Window using MSYS/MinGW or cygwin (where a precompiled package exists).

Data

  • Data sets to be used with libamtrack are provided in a separate download here.


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