MediaWiki API result

This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.

Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.

See the complete documentation, or the API help for more information.

{
    "batchcomplete": "",
    "continue": {
        "gapcontinue": "Solvents",
        "continue": "gapcontinue||"
    },
    "query": {
        "pages": {
            "32": {
                "pageid": 32,
                "ns": 0,
                "title": "Rpy",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "[http://rpy.sourceforge.net/ rpy] is a [[python]] interface to the statistics package [[R]].\n\n* [http://rpy.sourceforge.net/documentation.html Documentation]\n* [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/lin_reg/  Using Python (and R) to calculate Linear Regressions]\n\nAn example to plot a [http://www.sciencemag.org/cgi/content/full/319/5871/1772 heat map], based on a very nice [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/heatmap/#Python example of how to use R from python to draw a heat map from micro array data].\n \n<python>from rpy import r\nimport numpy\ndata = numpy.random.randn(100,30)  # fake data\n\nr.X11()  # use windowing system X11\nr.heatmap(a)\n</python>\n\n[[Image:Hm_gauss2.png|thumb|Example heat map from a Gaussian (mean=0, sd=1) 100x30 matrix of fake data.]]\n\nUsing an appropriate output device (pdf, png, ...) one can directly produce publication-quality images:\n<python>r.library('gplots')  # loads a library for heatmap.2\nr.pdf('hm_gauss2.pdf')  # output to file\nr.heatmap_2(a,col=r.topo_colors(100),trace=\"none\") # plot heatmap\nr.dev_off()  # close file output\n</python>\n\n[[Category:Analysis]]\n[[Category:Statistics]]\n[[Category:Python]]"
                    }
                ]
            },
            "46": {
                "pageid": 46,
                "ns": 0,
                "title": "Simulations",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "This page should help you running simulations with [[Hippo]].\n\nTo run a simulation you will need\n* hippo executable and data files in a directory which we will denote by HIPPO_HOME\n* a pdb file for your system\n* a [[Files#Command input file|hippo_input.txt]]\n\nThe standard protocol is:\n# make a working directory\n# copy your input files (pdb and <tt>hippo_input.txt</tt>) into the working dir\n# copy the hippo data files (<tt>oplsaa_forcefield.dat</tt> and <tt>hippo_protein_database.dat</tt>) into the working dir\n# (optional) copy your executable into the working dir\n# start hippo <pre>hippo</pre>\nHippo will load the pdb, build an internal topology, and then run the simulation. It will inform of its progress and its estimated finishing time.\n\nIf there are problems, look at the <tt>log.txt</tt> output file.\n\nSteps 1-4 can be automated with the bash script [[hippo_setup.sh]].\n\n[[Category:Hippo]]\n[[Category:Howto]]"
                    }
                ]
            }
        }
    }
}