ipfPlotPdf

estimation

xlab

ylab

title

Plots the probability density function of the estimated error

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

ipfPlotPdf function

<dl><dt>estimation</dt>
<dd>an ipfEstimation</dd>
<dt>xlab</dt>
<dd>x-axis label</dd>
<dt>ylab</dt>
<dd>y-axis label</dd>
<dt>title</dt>
<dd>plot title</dd></dl>

Arguments

Plots the probability density function of the estimated error — ipfPlotPdf

<dl>

<dt>estimation</dt>
<dd>an ipfEstimation</dd>


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


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


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

</dl>

ipfPlotPdf: Plots the probability density function of the estimated error

Description

Usage

Arguments

Examples