get_mds_author_fits: Multi-dimensional scaling for author similarity
In CrumpLab/RsemanticLibrarian: Helper Functions for the Semantic Librarian
Description
Usage
Arguments
Value
Examples
Description
Multi-dimensional scaling for author similarity
Usage
1
2
get_mds_author_fits(num_authors, num_clusters, input_df,
auth_vectors = AuthorVectors)
Arguments
num_authors
integer, number of authors
num_clusters
intger, number of clusters to find
input_df
dataframe of abstract information (e.g., article_df)
auth_vectors
matrix of author vectors (e.g., AuthorVectors)
Value
dataframe of abstract information with MDS coordinates and cluster information
Examples
1
2
author_sims <- get_author_similarities(author_list[1])
author_MDS <- get_mds_author_fits(15,3,author_sims,AuthorVectors)
CrumpLab/RsemanticLibrarian documentation built on Nov. 11, 2019, 1:04 p.m.
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Description Usage Arguments Value Examples
Description
Multi-dimensional scaling for author similarity
Usage
1 2 | get_mds_author_fits(num_authors, num_clusters, input_df,
auth_vectors = AuthorVectors)
|
Arguments
num_authors |
integer, number of authors |
num_clusters |
intger, number of clusters to find |
input_df |
dataframe of abstract information (e.g., |
auth_vectors |
matrix of author vectors (e.g., |
Value
dataframe of abstract information with MDS coordinates and cluster information
Examples
1 2 | author_sims <- get_author_similarities(author_list[1])
author_MDS <- get_mds_author_fits(15,3,author_sims,AuthorVectors)
|
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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