ACMI_contribution: Calculate Average Conditional Mutual Information (ACMI)...
In matthewjdenny/SpeedReader: High Performance Text Analysis
Description
Usage
Arguments
Value
View source: R/ACMI_contribution.R
Description
Generates a vector of contributions to ACMI for each vocabulary
term in a DTM, based on a contingency table generated by the
contingency_table() function.
Usage
1
ACMI_contribution(joint_dist)
Arguments
joint_dist
A matrix of class "simple_triplet_matrix" generated by the
contingency_table() function. Matching pairs of metadata combinations must be
sequential rows.
Value
A vector recording the ACMI contribution of each variable.
matthewjdenny/SpeedReader documentation built on March 25, 2020, 5:32 p.m.
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Description Usage Arguments Value
View source: R/ACMI_contribution.R
Description
Generates a vector of contributions to ACMI for each vocabulary term in a DTM, based on a contingency table generated by the contingency_table() function.
Usage
1 | ACMI_contribution(joint_dist)
|
Arguments
joint_dist |
A matrix of class "simple_triplet_matrix" generated by the contingency_table() function. Matching pairs of metadata combinations must be sequential rows. |
Value
A vector recording the ACMI contribution of each variable.
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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