Function reference • haven

Reading and writing
`read_dta()` `read_stata()` `write_dta()`	Read and write Stata DTA files
`read_sas()` `write_sas()`	Read and write SAS files
`read_sav()` `read_por()` `write_sav()` `read_spss()`	Read and write SPSS files
`read_xpt()` `write_xpt()`	Read and write SAS transport files
Labelled vectors SAS, SPSS, and Stata share a simply concept of “labelled” vectors, which are similar to factors but a little more general. The `labelled()` class provides a natural representaion in R.
`labelled_spss()`	Labelled vectors for SPSS
`labelled()` `is.labelled()`	Create a labelled vector.
`print_labels()`	Print the labels of a labelled vector
`as_factor(<data.frame>)` `as_factor(<haven_labelled>)` `as_factor(<labelled>)`	Convert input to a factor.
Tagged missing values Both SAS and Stata supported tagged missing values, where a missing value can have multiple “types”, given by an letter from A through Z. `tagged_na()` provides a convenient way of representing these types of missing values in R by taking advantage of the binary representation of `NA`.
`tagged_na()` `na_tag()` `is_tagged_na()` `format_tagged_na()` `print_tagged_na()`	"Tagged" missing values
Remove attributes There are a number of SPSS/SAS/Stata features that have no direct equivalent in R. Haven preserves them so you can choose what do with them. To simply eliminate them, use one of the zap functions.
`zap_empty()`	Convert empty strings into missing values
`zap_formats()`	Remove format attributes
`zap_label()`	Zap variable labels
`zap_labels()`	Zap value labels
`zap_missing()`	Zap special missings to regular R missings
`zap_widths()`	Remove display width attributes