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

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

See also

Examples

af <- textmodel_affinity(data_dfm_lbgexample, y = c("L", NA, NA, NA, "R", NA))
#> Error in get(".SigLength", envir = env): object '.SigLength' not found
afpred <- predict(af)
#> Error in predict(af): object 'af' not found
textplot_influence(influence(afpred))
#> Error in influence(afpred): object 'afpred' not found