encode_p_val_stars

'.' for p-value &lt; 0.1, '*' for &lt; 0.05, '**' for &lt; 0.01, '***' for &lt; 0.001

Methods for analysis of energy consumption data (electricity, gas,
water) at different data measurement intervals. The package provides feature extraction
methods and algorithms to prepare data for data mining and machine learning
applications. Deatiled descriptions of the methods and their application can be found
in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and
Energy Retailing" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9>
"Enhancing energy efficiency in the residential sector with smart meter data analytics".

Konstantin Hopf

SmartMeterAnalytics

Methods for Smart Meter Data Analysis

Andreas Weigert

Ilya Kozlovskiy

Thorsten Staake

encode_p_val_stars function

<dl><dt>pval</dt>
<dd>the p-value</dd></dl>

Arguments

Konstantin Hopf <a href="/link/konstantin.hopf%40uni-bamberg.de?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::konstantin.hopf@uni-bamberg.de">konstantin.hopf@uni-bamberg.de</a>

Author

Encodes p-values with a star rating according to the Significance code: — encode_p_val_stars

<dl>

<dt>pval</dt>
<dd>the p-value</dd>

</dl>

Konstantin Hopf <a href='mailto:konstantin.hopf@uni-bamberg.de'>konstantin.hopf@uni-bamberg.de</a>

encode_p_val_stars: Encodes p-values with a star rating according to the Significance code:

Description

Usage

Value

Arguments

Author