R: Read Stata Binary Files

read.dta {foreign} | R Documentation

## Read Stata Binary Files

### Description

Reads a file in Stata version 5–12 binary format into a data frame.

Frozen: will not support Stata formats after 12.

### Usage

    read.dta(file, convert.dates = TRUE, convert.factors = TRUE,
             missing.type = FALSE,
             convert.underscore = FALSE, warn.missing.labels = TRUE)

### Arguments

`file` | a filename or URL as a character string.
`convert.dates` | Convert Stata dates to `Date` class, and date-times to `POSIXct` class?
`convert.factors` | Use Stata value labels to create factors? (Version 6.0 or later).
`missing.type` | For version 8 or later, store information about different types of missing data?
`convert.underscore` | Convert `"_"` in Stata variable names to `"."` in R names?
`warn.missing.labels` | Warn if a variable is specified with value labels and those value labels are not present in the file.

### Details

If the filename appears to be a URL (of schemes http:, ftp: or https:) the URL is first downloaded to a temporary file and then read. (https: is only supported on some platforms.)

The variables in the Stata data set become the columns of the data frame. Missing values are correctly handled. The data label, variable labels, timestamp, and variable/dataset characteristics are stored as attributes of the data frame.

By default Stata dates (%d and %td formats) are converted to R's `Date` class, and variables with Stata value labels are converted to factors. Ordinarily, `read.dta` will not convert a variable to a factor unless a label is present for every level. Use `convert.factors = NA` to override this. In any case the value label and format information is stored as attributes on the returned data frame. Stata's date formats are sketchily documented: if necessary use `convert.dates = FALSE` and examine the attributes to work out how to post-process the dates.

Stata 8 introduced a system of 27 different missing data values. If `missing.type` is `TRUE` a separate list is created with the same variable names as the loaded data. For string variables the list value is `NULL`. For other variables the value is `NA` where the observation is not missing and 0–26 when the observation is missing. This is attached as the `"missing"` attribute of the returned value.

The default file format for Stata 13, `format-115`, is substantially different from those for Stata 5–12.

### Value

A data frame with attributes. These will include `"datalabel"`, `"time.stamp"`, `"formats"`, `"types"`, `"val.labels"`, `"var.labels"` and `"version"` and may include `"label.table"` and `"expansion.table"`. Possible versions are `5, 6, 7`, `-7` (Stata 7SE, ‘format-111’), `8` (Stata 8 and 9, ‘format-113’), `10` (Stata 10 and 11, ‘format-114’). and `12` (Stata 12, ‘format-115’).

The value labels in attribute `"val.labels"` name a table for each variable, or are an empty string. The tables are elements of the named list attribute `"label.table"`: each is an integer vector with names.

### Author(s)

Thomas Lumley and R-core members: support for value labels by Brian Quistorff.

### References

Stata Users Manual (versions 5 & 6), Programming manual (version 7), or online help (version 8 and later) describe the format of the files. Or directly at http://www.stata.com/help.cgi?dta_114 and http://www.stata.com/help.cgi?dta_113, but note that these have been changed since first published.

### See Also

A different approach is available in package memisc: see its help for `Stata.file`, at the time of writing not for Stata 12 or later. Or `read_dta` in package haven.

Package readstata13 for Stata 13 files.

`write.dta`, `attributes`, `Date`, `factor`

### Examples

    data(swiss)
    write.dta(swiss,swissfile <- tempfile())
    read.dta(swissfile)

[Package foreign version 0.8-73 Index]