Plot a pooled multiply imputed fit

One row per parameter: each imputation's aligned estimate as an open circle and the pooled estimate as a filled circle with its interval, so the between-imputation spread is visible next to the total uncertainty.

Usage

# S3 method for class 'latents_pooled'
plot(x, level = c("profile", "group", "measurement"), main = NULL, ...)

Arguments

x

A latents_pooled object.

level

Which parameter level to show: "profile" (the profile membership coefficients or probabilities), "group" or "measurement".

main

Plot title; NULL for the default.

...

Unused.

Value

x, invisibly. Called for the side effect of drawing.

Examples

set.seed(1)
completed <- lapply(1:2, function(i) {
  within(subset(course_engagement, student <= 40),
         previous_grade <- previous_grade + rnorm(length(previous_grade), sd = 0.1))
})
pooled <- pool_imputations(completed, c("browse", "lectures", "forum_read"),
                           "student", n_profiles = 2, n_group_classes = 1,
                           profile_covariates = "previous_grade",
                           n_starts = 2, seed = 1)
plot(pooled)