Description Usage Arguments See Also
Cluster phrases based on similarity of their appearance in the positive documents. Can also plot this if so desired.
Uses hclust() with the “ward.D” method on 1-S with S from make.similarity.matrix
Warning: for 'negative weight' phrases this method does not do well since it ignores negative documents.
1 2 | cluster.phrases(result, num.groups = 5, plot = TRUE, yaxt = "n",
ylab = "", sub = "", main = "Association of Phrases", ...)
|
result |
A similarity matrix from make.similarity.matrix call or an textreg.result object |
num.groups |
Number of groups to box. |
plot |
Actually plot clustering or just calculate it. |
yaxt |
Whether to include a y-axis |
ylab |
Label for y-axis |
sub |
Subtitle for plot |
main |
Title of plot. |
... |
Extra arguments to pass to the plot command. See par. |
Other Phrase Vizualization: make.appearance.matrix
,
make.phrase.correlation.chart
,
make.similarity.matrix
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