Description Usage Arguments Value Examples
Reads in and stores communication network data in a ComNet object for use in main estimation procedure.
1 2 | prepare_data(document_authors, document_edge_matrix, document_term_matrix,
covariate_data = NULL, vocabulary = NULL)
|
document_authors |
A vector recording the index of the sender of each document. This vector must be equal in length to the number of documents in the corpus, and should be one-indexed. |
document_edge_matrix |
A documents (rows) by actors (columns) matrix recording whether actor j was a recipient of message i. This matrix should be one-indexed. |
document_term_matrix |
A documents (rows) by unique terms (columns) matrix recording the count of unique term j in document i. |
covariate_data |
Defaults to NULL. The user may provide a data.frame containing covariate data for each actor. This data frame must have the same number of rows as actors, and should use descriptive variable names. |
vocabulary |
Defaults to NULL, in which case the column names of the document_term_matrix will be used as the vocabulary. |
An object of class ComNet that will be used by the ccas() function.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## Not run:
# load in example county government email data.
data(author_attributes)
data(document_edge_matrix)
data(document_word_matrix)
data(vocabulary)
# the first colun of the doc-edge matrix is the author index. Take it out and
# then remove it from the doc-edge matrix.
document_authors <- document_edge_matrix[,1]
document_edge_matrix <- document_edge_matrix[,-1]
ComNet <- prepare_data(
document_authors = document_authors,
document_edge_matrix = document_edge_matrix,
document_term_matrix = document_word_matrix,
covariate_data = author_attributes,
vocabulary = vocabulary)
## End(Not run)
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