Create and update imputationList objects to be used as input to other
MI routines.
Usage
imputationList(datasets,...)
## Default S3 method:
imputationList(datasets,...)
## S3 method for class 'character'
imputationList(datasets,dbtype,dbname,...)
## S3 method for class 'imputationList'
update(object,...)
## S3 method for class 'imputationList'
rbind(...)
## S3 method for class 'imputationList'
cbind(...)
Arguments
datasets
a list of data frames corresponding to the multiple
imputations, or a list of names of database tables or views
dbtype
"ODBC" or a database driver name for
DBI::dbDriver()
dbname
Name of the database
object
An object of class imputationList
...
Arguments tag=expr to update
will create new variables tag by evaluating expr
in each imputed dataset. Arguments to imputationList() are
passed to the database driver
Details
When the arguments to imputationList() are character strings a
database-based imputation list is created. This can be a database
accessed through ODBC with the RODBC package or a database with a
DBI-compatible driver. The dbname and ... arguments are
passed to dbConnect() or odbcConnect() to create a
database connection. Data are read from the database as needed.
For a database-backed object the update() method creates variable
definitions that are evaluated as the data are read, so that read-only
access to the database is sufficient.
Value
An object of class imputationList or DBimputationList
Examples
## Not run:
## CRAN doesn't like this example
data.dir <- system.file("dta",package="mitools")
files.men <- list.files(data.dir,pattern="m.\.dta$",full=TRUE)
men <- imputationList(lapply(files.men, foreign::read.dta))
files.women <- list.files(data.dir,pattern="f.\.dta$",full=TRUE)
women <- imputationList(lapply(files.women, foreign::read.dta))
men <- update(men, sex=1)
women <- update(women,sex=0)
all <- rbind(men,women)
all <- update(all, drinkreg=as.numeric(drkfre)>2)
all
## End(Not run)