textplot_influence: Influence plot for text scaling models

In quanteda.textmodels: Scaling Models and Classifiers for Textual Data

Influence plot for text scaling models

Description

Plot the results of a fitted scaling model, from (e.g.) a predicted textmodel_affinity model.

Usage

textplot_influence(x, n = 30, ...)

Arguments

x	the object output from influence() run on the fitted or predicted scaling model object to be plotted
n	the number of features whose influence will be plotted
...	additional arguments passed to plot()

Value

Creates a base R plot of feature influences of the median influence by the log10 median rate of the feature, and invisibly returns the elements from the call to plot().

Author(s)

Patrick Perry and Kenneth Benoit

See Also

textmodel_affinity()

influence.predict.textmodel_affinity()

Examples

tmod <- textmodel_affinity(quanteda::data_dfm_lbgexample, y = c("L", NA, NA, NA, "R", NA))
pred <- predict(tmod)
textplot_influence(influence(pred))

quanteda.textmodels documentation built on March 31, 2023, 8:09 p.m.