ipfGroup

data

Variables to group by. All variables (columns) will
be used if no parameter is provided.

This function groups the data based on the specified variables
and assigns an id to each group

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

ipfGroup function

<dl><dt>data</dt>
<dd>A data frame</dd>
<dt>...</dt>
<dd>Variables to group by. All variables (columns) will
be used if no parameter is provided.</dd></dl>

Arguments

Creates groups based on the specified parameters — ipfGroup

<dl>

<dt>data</dt>
<dd>A data frame</dd>


<dt>...</dt>
<dd>Variables to group by. All variables (columns) will
be used if no parameter is provided.</dd>

</dl>

ipfGroup: Creates groups based on the specified parameters

Description

Usage

Value

Arguments

Examples