OUTFILE Subcommand (CORRESPONDENCE command)

Use OUTFILE to write row and column scores and/or confidence statistics (variances and covariances) for the singular values and row and column scores to an an external IBM® SPSS® Statistics data file or previously declared dataset.

OUTFILE must be followed by one or both of the following keywords:

SCORE ('file'|'dataset'). Write row and column scores.

VARIANCE ('file'|'dataset'). Write variances and covariances.

  • Filenames should be enclosed in quotes and are stored in the working directory unless a path is included as part of the file specification. Datasets are available during the current session but are not available in subsequent sessions unless you explicitly save them as data files. The names should be different for the each of the keywords.
  • For VARIANCE, supplementary and equality constrained rows and columns are not produced in the external file.

The variables in the SCORE matrix data file and their values are:

ROWTYPE_. String variable containing the value ROW for all of the rows and COLUMN for all of the columns.

LEVEL_. String variable containing the values (or value labels, if present) of each original variable.

VARNAME_. String variable containing the original variable names.

DIM1...DIMn. Numerical variables containing the row and column scores for each dimension. Each variable is named DIM n, where n represents the dimension number.

The variables in the VARIANCE matrix data file and their values are:

ROWTYPE_. String variable containing the value COV for all of the cases in the file.

VARNAME_. String variable containing the value SINGULAR, the row variable’s name, and the column variable’s name.

LEVEL_. String variable containing the row variable’s values (or labels), the column variable’s values (or labels), and a blank value for VARNAME_ = SINGULAR.

DIMNMBR_. String variable containing the dimension number.

DIM1...DIMn. Numerical variables containing the variances and covariances for each dimension. Each variable is named DIM n, where n represents the dimension number.