read_dta() read_stata() write_dta()

Read and write Stata DTA files

read_sas() write_sas()

read_sav() read_por() write_sav() read_spss()

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 label

zap_labels()

Zap labels

zap_missing()

Zap special missings to regular R missings

zap_widths()

Remove display width attributes