covmatch.mult: Covariate Matching (Match - Many)
In nitesh-1507/WindPlus: Covariates matching and performance quantification

Description Usage Arguments Value Examples

View source: R/matchmany.R

The function aims to take different data sets and returns the after matched data sets using user specified covariates.

1	covmatch.mult(dname, cov, weight, cov_circ)

`dname`	This should always be a list, containing all the data sets to match.
`cov`	Vector of column numbers for the covariates to be used in matching.
`weight`	Vector of threshold values, against which matching happens. It should be a vector such as c(0.2, 0.2, 0.3), if considering three covariates.
`cov_circ`	Vector stating the column position of circular variables such as wind direction, nacelle position etc.

The function returns a list containing after matched data sets.

fname <- list(Season1, Season2, Season3)
cov <- c(1, 6, 14)
weight <- c(0.2, 0.2, 0.2)

matched_data = covmatch.mult(fname, cov = cov, weight = weight)