plot_score_topic.Rd
Plot frequency of self-chosen topic scores in abstracts.
plot_score_topic( df, keywords, case = FALSE, name.topic = "TOPIC", bins = NULL, colour = "steelblue3", col.abstract = Abstract, col.pmid = PMID, title = NULL )
df | Data frame containing abstracts. |
---|---|
keywords | Character vector. Vector containing keywords. How much weight
a keyword in |
case | Boolean. If |
name.topic | String. Name of the topic. |
bins | Integer. Specifies how many bins are used to plot
the distribution. If |
colour | String. Colour of histogram. |
col.abstract | Symbol. Column containing abstracts. |
col.pmid | Symbol. Column containing PubMed-IDs. |
title | String. Plot title. |
Histogram displaying the distribution of self-chosen topic scores in abstracts.
Plots a frequency distribution of self-chosen topic scores in abstracts of a
data frame. The topic score is influenced by the choice of
terms in keywords
. Plotting the distribution can help in choosing the right
threshold to decide which abstracts correspond to the self-chosen
topic.
calculate_score_topic()
, assign_topic()
Other score functions:
assign_topic()
,
calculate_score_animals()
,
calculate_score_biomarker()
,
calculate_score_patients()
,
calculate_score_topic()
,
plot_score_animals()
,
plot_score_biomarker()
,
plot_score_patients()