Plot estimated covariate effects on topic prevalence

Usage

# S3 method for class 'faSTM_effect'
plot(
  x,
  covariate,
  method = c("pointestimate", "continuous", "difference"),
  topics = x$topics,
  model = NULL,
  cov.value1 = NULL,
  cov.value2 = NULL,
  values = NULL,
  moderator = NULL,
  moderator.value = NULL,
  npoints = 50L,
  ci = 0.95,
  labeltype = NULL,
  custom.labels = NULL,
  xlab = NULL,
  main = NULL,
  ...
)

Arguments

x: A faSTM_effect (from estimateEffect()).
covariate: Name of the covariate to vary.
method: "pointestimate" (mean proportion per level of a categorical covariate), "continuous" (proportion vs a numeric covariate, with ribbon), or "difference" (difference between two values).
topics: Topics to show (default all in the effect object).
values: For "difference", length-2 c(high, low); for "continuous", optional range; ignored for "pointestimate".
npoints: Grid size for "continuous".
ci: Confidence level.
...: Unused.

Value

A ggplot object.