Spss Sav File Format

Either a path to a file, a connection, or literal data(either a single string or a raw vector).

Files ending in .gz, .bz2, .xz, or .zip willbe automatically uncompressed. Files starting with http://,https://, ftp://, or ftps:// will be automaticallydownloaded. Remote gz files can also be automatically downloaded anddecompressed.

Literal data is most useful for examples and tests. It must contain atleast one new line to be recognised as data (instead of a path) or be avector of greater than length 1.

Using a value of clipboard() will read from the system clipboard.

The character encoding used for the file. The default,NULL, use the encoding specified in the file, but sometimes thisvalue is incorrect and it is useful to be able to override it.

If TRUE variables with user defined missing willbe read into labelled_spss() objects. If FALSE, thedefault, user-defined missings will be converted to NA.

One or more selection expressions, like indplyr::select(). Use c() or list() to use more than one expression.See ?dplyr::select for details on available selection options. Only thespecified columns will be read from data_file.

Number of lines to skip before reading data.

Maximum number of lines to read.

Treatment of problematic column names:

• 'minimal': No name repair or checks, beyond basic existence,

• 'unique': Make sure names are unique and not empty,

• 'check_unique': (default value), no name repair, but check they areunique,

• 'universal': Make the names unique and syntactic

• a function: apply custom name repair (e.g., .name_repair = make.namesfor names in the style of base R).

• A purrr-style anonymous function, see rlang::as_function()

This argument is passed on as repair to vctrs::vec_as_names().See there for more details on these terms and the strategies usedto enforce them.

Data frame to write.

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Path to a file where the data will be written.

If TRUE, will compress the file, resulting in a .zsavfile.