Extract estimateEffect estimates as a tidy data.frame (no plotting)

Returns the point estimates, standard errors and confidence bounds that plot.faSTM_effect() would draw, so you can build a custom plot or table (stm issue #83). Same arguments as the plot method.

Usage

effect_estimates(
  x,
  covariate,
  method = c("pointestimate", "continuous", "difference"),
  topics = x$topics,
  cov.value1 = NULL,
  cov.value2 = NULL,
  values = NULL,
  moderator = NULL,
  moderator.value = NULL,
  npoints = 50L,
  ci = 0.95
)

Arguments

x

A faSTM_effect (from estimateEffect()).

covariate

Covariate name.

method

"pointestimate", "continuous", or "difference".

topics

Topics to include.

cov.value1, cov.value2, values

Levels/values for difference or continuous range.

moderator, moderator.value

Optional held-fixed interaction term.

npoints

Grid size for "continuous".

ci

Confidence level for lower/upper.

Value

A data.frame with topic, value, est, se, lower, upper.