ipfPlotLocation

Plots the spatial location of the observations

Algorithms and utility functions for indoor positioning using fingerprinting techniques.
These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data
sets, estimation of positions,comparison of the performance of different models, and graphical
visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or
probabilistic fingerprinting are implemented in this package to perform analysis
and estimations over RSSI data sets.

Emilio Sansano

ipft

Indoor Positioning Fingerprinting Toolset

Raúl Montoliu

ipfPlotLocation function

<dl><dt>positions</dt>
<dd>a data frame or matrix with the positions</dd>
<dt>plabel</dt>
<dd>if TRUE, adds labels to groups / observations</dd>
<dt>reverseAxis</dt>
<dd>swaps axis</dd>
<dt>xlab</dt>
<dd>x-axis label</dd>
<dt>ylab</dt>
<dd>y-axis label</dd>
<dt>title</dt>
<dd>plot title</dd>
<dt>pgrid</dt>
<dd>plot grid (boolean)</dd></dl>

Arguments

Plots the spatial location of the observations — ipfPlotLocation

<dl>

<dt>positions</dt>
<dd>a data frame or matrix with the positions</dd>


<dt>plabel</dt>
<dd>if TRUE, adds labels to groups / observations</dd>


<dt>reverseAxis</dt>
<dd>swaps axis</dd>


<dt>xlab</dt>
<dd>x-axis label</dd>


<dt>ylab</dt>
<dd>y-axis label</dd>


<dt>title</dt>
<dd>plot title</dd>


<dt>pgrid</dt>
<dd>plot grid (boolean)</dd>

</dl>

ipfPlotLocation: Plots the spatial location of the observations

Description

Usage

Arguments

Examples