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JSTORr (version 1.0.20161214)

JSTOR_MALLET_hotncoldtopics: Plot the top five hot and cold topics in the archive

Description

Generates plots and data frames of the top five hot and cold topics. Hot topics are topics with a positive correlation to year of publication, cold topics have a negative correlation. For use with JSTOR's Data for Research datasets (http://dfr.jstor.org/).

Usage

JSTOR_MALLET_hotncoldtopics(x, pval = 0.05, ma = 5)

Arguments

x
the object returned by the function JSTOR_unpack1grams (for the bibliographic data only).
pval
p-value of the correlation cutoff for topics to include in the top 5 negative/positive list (ie. only topics where p
ma
ma moving average interval, default is five years.

Value

Returns a plot of the hot topics and plot of the cold topics and a list of dataframes of the topic proportions per year. Years as rows, topics as columns and posterior probabilities as cell values.

Examples

Run this code
## hotncold <- JSTOR_MALLET_hotncoldtopics(x = unpack1grams)

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