Extracts Imputed Datasets
complete() function extracts data from an object of the mimids or wimids class.
## S3 method for class 'mimids' complete(data, action = 1, include = FALSE, mild = FALSE, all = TRUE, ...) ## S3 method for class 'wimids' complete(data, action = 1, include = FALSE, mild = FALSE, all = TRUE, ...)
data |
A |
action |
The imputed dataset number, intended to extract its data, or an action. The input must be a positive integer or a keyword. The keywords include |
include |
Whether the original data with the missing values should be included. The input must be a logical value. The default is |
mild |
Whether the return value should be an object of |
all |
Whether to include observations with a zero estimated weight. The default is |
... |
Ignored. |
complete() works by running mice::complete() on the mids object stored within the mimids or wimids object and appending the outputs of the matching or weighting procedure. For mimids objects, the appended outputs include the matching weights, the propensity score (if included), pair membership (if included), and whether each unit was discarded. For wimids objects, the appended output is the estimated weights.
This function returns the imputed dataset within the supplied mimids or wimids objects.
Stef van Buuren and Karin Groothuis-Oudshoorn (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3): 1-67. https://www.jstatsoft.org/v45/i03/
#Loading libraries
library(MatchThem)
#Loading the dataset
data(osteoarthritis)
#Multiply imputing the missing values
imputed.datasets <- mice::mice(osteoarthritis, m = 5)
#Matching the multiply imputed datasets
matched.datasets <- matchthem(OSP ~ AGE + SEX + BMI + RAC + SMK,
imputed.datasets,
approach = 'within',
method = 'nearest')
#Extracting the first imputed dataset
matched.dataset.1 <- complete(matched.datasets, n = 1)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.