compute_rca: Compute RCA Matrix
In UtrechtUniversity/SCCA: Spectral Clustering Correspondence Analysis in R
Description
Usage
Arguments
Details
View source: R/scca_pre_process.R
Description
Computes Revealed Comparative Advantage (a.k.a. Location Quotient) of a an incidence matrix (e.g. country <-> exported products)
Usage
1
compute_rca(m, binary = TRUE)
Arguments
m
A data matrix
binary
If TRUE (default) the function returns a binary matrix with entry 1 if RCA>1 and 0 otherwise
Details
See: Wikipedia.
UtrechtUniversity/SCCA documentation built on April 16, 2021, 3:23 a.m.
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Description Usage Arguments Details
View source: R/scca_pre_process.R
Description
Computes Revealed Comparative Advantage (a.k.a. Location Quotient) of a an incidence matrix (e.g. country <-> exported products)
Usage
1 | compute_rca(m, binary = TRUE)
|
Arguments
m |
A data matrix |
binary |
If TRUE (default) the function returns a binary matrix with entry 1 if RCA>1 and 0 otherwise |
Details
See: Wikipedia.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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