JointAI: plot_imp_distr – R documentation

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plot_imp_distr

Plot the distribution of observed and imputed values

Description

Plots densities and bar plots of the observed and imputed values in a long-format dataset (multiple imputed datasets stacked onto each other).

Usage

plot_imp_distr(data, imp = "Imputation_", id = ".id", rownr = ".rownr",
  ncol = NULL, nrow = NULL, labeller = NULL)

Arguments

`data`	a `data.frame` containing multiple imputations and the original incomplete data stacked onto each other
`imp`	the name of the variable specifying the imputation indicator
`id`	the name of the variable specifying the subject indicator
`rownr`	the name of a variable identifying which rows correspond to the same observation in the original (un-imputed) data
`ncol`	optional; number of columns in the plot layout; automatically chosen if unspecified
`nrow`	optional; number of rows in the plot layout; automatically chosen if unspecified
`labeller`	optional labeller to be passed to `ggplot2::facet_wrap()` to change the facet labels

Examples

mod <- lme_imp(y ~ C1 + c2 + B2 + C2, random = ~ 1 | id, data = longDF,
               n.iter = 200, monitor_params = c(imps = TRUE), mess = FALSE)
impDF <- get_MIdat(mod, m = 5)
plot_imp_distr(impDF, id = "id", ncol = 3)

JointAI

Joint Analysis and Imputation of Incomplete Data

v1.0.2

GPL (>= 2)

Authors

Nicole S. Erler [aut, cre] (<https://orcid.org/0000-0002-9370-6832>)

Initial release