cluster.phrases {textreg} | R Documentation |
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.
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