DocTopics: Find the topic estimated that a document is most likely to be...
In christophergandrud/ExpAgenda: Bayesian hierarchical expressed agenda estimation using Grimmer (2010)
Description
Usage
Arguments
Value
Description
Find the topic estimated that a document is most likely
to be from.
Usage
1
DocTopics(obj, TopicLabels = "auto", StemLabel = 2)
Arguments
obj
an ExpAgendaOut class object created by
ExpAgendaVonmon.
TopicLabels
character vector. Labels for each
topic. Should be in the same order as the topics
generated by TopicSummary. If
TopicLabels = "auto" then the top topic stems are
used.
StemLabels
numeric. The number of stems to use for
auto generated topic labels.
Value
A data frame with three columns: ID, Names,
Topic.
christophergandrud/ExpAgenda documentation built on May 13, 2019, 7:01 p.m.
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Description Usage Arguments Value
Description
Find the topic estimated that a document is most likely to be from.
Usage
1 | DocTopics(obj, TopicLabels = "auto", StemLabel = 2)
|
Arguments
obj |
an |
TopicLabels |
character vector. Labels for each
topic. Should be in the same order as the topics
generated by |
StemLabels |
numeric. The number of stems to use for
|
Value
A data frame with three columns: ID, Names,
Topic.
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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