CovMatch

The function aims to take list of two data sets and returns the after
matched data sets using user specified covariates and threshold

Data science methods used in wind energy applications.
Current functionalities include creating a multi-dimensional power curve model,
performing power curve function comparison, covariate matching, and energy decomposition.
Relevant works for the developed functions are:
funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>,
AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>,
tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>,
ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>,
deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>,
All other functions - Ding (2019, ISBN:9780429956508).

Yu Ding

DSWE

Data Science for Wind Energy

Nitesh Kumar

Abhinav Prakash

Effi Latiffianti

Ahmadreza Chokhachian

CovMatch function

<dl><dt>data</dt>
<dd>a list, consisting of data sets to match, also each of the individual data set can be dataframe or a matrix</dd>
<dt>xCol</dt>
<dd>a vector stating the column position of covariates used</dd>
<dt>xCol.circ</dt>
<dd>a vector stating the column position of circular variables</dd>
<dt>thrs</dt>
<dd>a numerical or a vector of threshold values for each covariates, against which matching happens
It should be a single value or a vector of values representing threshold for each of the covariate</dd>
<dt>priority</dt>
<dd>a boolean, default value False, otherwise computes the sequence of matching</dd></dl>

Arguments

Covariate Matching — CovMatch

<dl>

<dt>data</dt>
<dd>a list, consisting of data sets to match, also each of the individual data set can be dataframe or a matrix</dd>


<dt>xCol</dt>
<dd>a vector stating the column position of covariates used</dd>


<dt>xCol.circ</dt>
<dd>a vector stating the column position of circular variables</dd>


<dt>thrs</dt>
<dd>a numerical or a vector of threshold values for each covariates, against which matching happens
It should be a single value or a vector of values representing threshold for each of the covariate</dd>


<dt>priority</dt>
<dd>a boolean, default value False, otherwise computes the sequence of matching</dd>

</dl>

CovMatch: Covariate Matching

Description

Usage

Value

Arguments

References

Examples