MC.plot

Plot of the ordered stationary probabilities versus ranking contains useful information
regarding the relative rankings of elements.

For multiple ranked input lists (full or partial) representing the same set of N objects, the package 'TopKLists' <doi:10.1515/sagmb-2014-0093> offers (1) statistical inference on the lengths of informative top-k lists, (2) stochastic aggregation of full or partial lists, and (3) graphical tools for the statistical exploration of input lists, and for the visualization of aggregation results. Note that RGtk2 and gWidgets2RGtk2 have been archived on CRAN. See <https://github.com/pievos101/TopKLists> for installation instructions.

Bastian Pfeifer

TopKLists

Inference, Aggregation and Visualization for Top-K Ranked Lists

MC.plot function

<dl> <dt>outMC</dt>
<dd>Output (a list) from running the MC algorithm</dd> <dt>k</dt>
<dd>Number of stationary probabilities to be plotted. If missing, all stationary probabilities contained in the <code>MC</code> output will be plotted</dd><dt>...</dt>
<dd>Other parameters passed on the the plot function</dd></dl>

Arguments

Author

Plot of the ordered stationary probabilities — MC.plot

<dl>

 <dt>outMC</dt>
<dd>Output (a list) from running the MC algorithm</dd>

 <dt>k</dt>
<dd>Number of stationary probabilities to be plotted. If missing, all stationary probabilities contained in the <code>MC</code> output will be plotted</dd>

<dt>...</dt>
<dd>Other parameters passed on the the plot function</dd>

</dl>

MC.plot: Plot of the ordered stationary probabilities

Description

Usage

Value

Arguments

Author

See Also

Examples