| CovMatch {DSWE} | R Documentation |
Covariate Matching
Description
The function aims to take list of two data sets and returns the after matched data sets using user specified covariates and threshold
Usage
CovMatch(data, xCol, xCol.circ, thrs, priority)
Arguments
data |
a list, consisting of data sets to match, also each of the individual data set can be dataframe or a matrix |
xCol |
a vector stating the column position of covariates used |
xCol.circ |
a vector stating the column position of circular variables |
thrs |
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 |
priority |
a boolean, default value False, otherwise computes the sequence of matching |
Value
a list containing :
originalData - The data sets provided for matching
matchedData - The data sets after matching
MinMaxOriginal - The minimum and maximum value in original data for each covariate used in matching
MinMaxMatched - The minimum and maximum value in matched data for each covariates used in matching
References
Ding, Y. (2019). Data Science for Wind Energy. Chapman & Hall, Boca Raton, FL.
Examples
data1 = data1[1:100, ]
data2 = data2[1:100, ]
data = list(data1, data2)
xCol = 2
xCol.circ = NULL
thrs = 0.1
priority = FALSE
matched_data = CovMatch(data, xCol, xCol.circ, thrs, priority)