Description Usage Arguments Details Author(s) References See Also Examples
The print.wimids()
function prints an object of the wimids
class.
1 2 |
x |
This argument specifies an object of the |
n |
This argument specifies the weighted imputed dataset number, intended to print its matching profile. The input must be a positive integer. The default is |
digits |
This argument specifies minimal number of significant digits. |
... |
Additional arguments to be passed to the |
The matching profile of the wimids
class objects is printed.
Farhad Pishgar
Daniel Ho, Kosuke Imai, Gary King, and Elizabeth Stuart (2007). Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference. Political Analysis, 15(3): 199-236. http://gking.harvard.edu/files/abs/matchp-abs.shtml
1 2 3 4 5 6 7 8 9 10 11 12 13 | #Loading the 'dt.osa' dataset
data(dt.osa)
#Imputing missing data points in the'dt.osa' dataset
datasets <- mice(dt.osa, m = 5, maxit = 1,
method = c("", "", "mean", "", "polyreg", "logreg", "logreg"))
#Weighting the imputed datasets, 'datasets'
weighteddatasets <- weightitmice(KOA ~ SEX + AGE + SMK, datasets,
approach = 'within', method = 'nearest')
#Printing data of the first imputed dataset
print.1 <- print(weighteddatasets, n = 1)
|
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