JointAI (version 0.5.1)

plot_imp_distr: Plot the distribution of observed and imputed values

Description

Plots densities and barplots 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)

Arguments

data

a data.frame containing multiple imputations (and the original incomplete data)

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 (unimputed) data

ncol

optional number of rows and columns in the plot layout; automatically chosen if unspecified

nrow

optional number of rows and columns in the plot layout; automatically chosen if unspecified

Examples

# NOT RUN {
mod <- lme_imp(y ~ C1 + c2 + B2 + b2 + C2 + p2, random = ~ 1 | id, data = longDF,
               n.iter = 300, monitor_params = c(imps = TRUE), mess = FALSE)
impDF <- get_MIdat(mod, m = 5)
plot_imp_distr(impDF, id = "id")

# }