bootMice {bootImpute} | R Documentation |
Bootstrap then impute using mice
Description
Bootstraps an incomplete dataset and then imputes each bootstrap a number
of times using the mice package. The resulting list of bootstrapped then
imputed datasets can be analysed with bootImputeAnalyse
.
To run this function requires the mice
package to be installed.
Usage
bootMice(obsdata, nBoot = 200, nImp = 2, nCores = 1, seed = NULL, ...)
Arguments
obsdata |
The data frame to be imputed. |
nBoot |
The number of bootstrap samples to take. It is recommended
that you use a minimum of 200. If you specify |
nImp |
The number of times to impute each bootstrap sample. Two is recommended. |
nCores |
The number of CPU cores to use. If specified greater than one, bootImpute will impute using the number of cores specified. |
seed |
Random number seed. |
... |
Other arguments that are to be passed to |
Value
A list of imputed datasets.
Examples
library(mice)
head(ex_linquad)
#bootstrap 10 times and impute each twice
imps <- bootMice(ex_linquad, nBoot=10, nImp=2, seed=564764)