climate_data

A dataset with meteorological data from
 a weather station in Frankfurt (Oder), Germany from
 february 2016

datasets

Analysis of features by phi delta diagrams. In particular, functions for reading data and calculating phi and delta as well as the functionality to plot it. Moreover it is possible to do further analysis on the data by generating rankings. For more information on phi delta diagrams, see also Giuliano Armano (2015) <doi:10.1016/j.ins.2015.07.028>.

Ursula Neumann

phiDelta

Tool for Phi Delta Analysis of Features

climate_data function

a data frame with 29 entries and following 7 variables<dl class="dl-horizontal">
 <dt><code>RainBool</code></dt><dd>classification variable: if
 it has not rained: 0, if it has rained: 1</dd>
 <dt><code>date</code></dt><dd>index variable from 1 to 29</dd>
 <dt><code>Tmin</code></dt><dd>temperature minimum of the day</dd>
 <dt><code>Tmax</code></dt><dd>temperature maximum of the day</dd>
 <dt><code>SunAvg</code></dt><dd>sunshine duration of the day</dd>
 <dt><code>RelHumAvg</code></dt><dd>average relative humidity
 of the day</dd>
 <dt><code>WindForceAvg</code></dt><dd>average wind force of
 the day</dd>
</dl>

Format

Meteorological data for feature selection analysis — climate_data

a data frame with 29 entries and following 7 variables<dl class='dl-horizontal'>
 <dt><code>RainBool</code></dt><dd>classification variable: if
 it has not rained: 0, if it has rained: 1</dd>
 <dt><code>date</code></dt><dd>index variable from 1 to 29</dd>
 <dt><code>Tmin</code></dt><dd>temperature minimum of the day</dd>
 <dt><code>Tmax</code></dt><dd>temperature maximum of the day</dd>
 <dt><code>SunAvg</code></dt><dd>sunshine duration of the day</dd>
 <dt><code>RelHumAvg</code></dt><dd>average relative humidity
 of the day</dd>
 <dt><code>WindForceAvg</code></dt><dd>average wind force of
 the day</dd>
</dl>

climate_data: Meteorological data for feature selection analysis

Description

Usage

Arguments

Format

References