mids2spss | R Documentation |
mids
object to SPSSConverts a mids
object into a format recognized by SPSS, and writes
the data and the SPSS syntax files.
mids2spss(
imp,
filename = "midsdata",
path = getwd(),
compress = FALSE,
silent = FALSE
)
imp |
The |
filename |
A character string describing the name of the output data file and its extension. |
path |
A character string containing the path of the output file. The
value in |
compress |
A logical flag stating whether the resulting SPSS set should
be a compressed |
silent |
A logical flag stating whether the location of the saved file should be printed. |
This function automates most of the work needed to export a mids
object to SPSS. It uses haven::write_sav()
to facilitate the export to an
SPSS .sav
or .zsav
file.
Below are some things to pay attention to.
The SPSS
syntax file has the proper file names and separators set, so
in principle it should run and read the data without alteration. SPSS
is more strict than R
with respect to the paths. Always use the full
path, otherwise SPSS
may not be able to find the data file.
Factors in R
translate into categorical variables in SPSS
. The
internal coding of factor levels used in R
is exported. This is
generally acceptable for SPSS
. However, when the data are to be
combined with existing SPSS
data, watch out for any changes in the
factor levels codes.
SPSS
will recognize the data set as a multiply imputed data set, and
do automatic pooling in procedures where that is supported. Note however that
pooling is an extra option only available to those who license the
MISSING VALUES
module. Without this license, SPSS
will still
recognize the structure of the data, but it will not pool the multiply imputed
estimates into a single inference.
The return value is NULL
.
Gerko Vink, dec 2020.
mids
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