mids2spss: Export `mids` object to SPSS

Usage

mids2spss(imp, filedat = "midsdata.txt",
    filesps = "readmids.sps", path = getwd(), sep = "",
    dec = ".", silent = FALSE)
imp{The imp argument is an object of class
  mids, typically produced by the mice()
  function.}
  filedat{A character string describing the name of
  the output data file.}
  filesps{A character string describing the name of
  the output syntax file.}
  path{A character string containing the path of the
  output file. The value in path is appended to
  filedat and filesps. By default, files are
  written to the current R working directory. If
  path=NULL then no file path appending is done.}
  sep{The separator between the data fields.}
  dec{The decimal separator for numerical data.}
  silent{A logical flag stating whether the names of
  the files should be printed.}
The return value is NULL.
Converts a mids object into a format recognized by
  SPSS, and writes the data and the SPSS syntax files.
This function automates most of the work needed to export
  a mids object to SPSS. It uses a modified version
  of writeForeignSPSS() from the foreign
  package. The modified version allows for a choice of the
  field and decimal separators, and makes some improvements
  to the formatting, so that the generated syntax file is
  amenable to the INCLUDE statement in SPSS.
  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. The read.spss() in
  package foreign for reading .sav uses its
  own internal numbering scheme 1,2,3,... for the
  levels of a factor. Consequently, changes in factor code
  can cause discrepancies in factor level when re-imported
  to SPSS. The solution is to manually recode the
  factor level in SPSS.
  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 licence the
  MISSING VALUES module. Without this licence,
  SPSS will still recognize the structure of the
  data, but not do any pooling.
[object Object],[object Object]
mids
manip
Usage

Arguments
