Writes the data frame to file in the Stata binary
format. Does not write array variables unless they can be
drop-ed to a vector.
Frozen: will not support Stata formats after 10 (also used by Stata 11).
write.dta(dataframe, file, version = 7L,
convert.dates = TRUE, tz = "GMT",
convert.factors = c("labels", "string", "numeric", "codes"))NULL
a data frame.
character string giving filename.
integer: Stata version: 6, 7, 8 and 10 are supported, and 9 is mapped to 8, 11 to 10.
logical: convert Date and POSIXct
objects: see section ‘Dates’.
timezone for date conversion.
how to handle factors.
Unless disabled by argument convert.dates = FALSE, R date and
date-time objects (POSIXt classes) are converted into the Stata
date format, the number of days since 1960-01-01. (For date-time
objects this may lose information.) Stata can be told that these are
dates by
format xdate %td;It is possible to pass objects of class POSIXct to Stata to be
treated as one of its versions of date-times. Stata uses the number
of milliseconds since 1960-01-01, either excluding (format
%tc) or counting (format %tC) leap seconds. So
either an object of class POSICct can be passed to Stata with
convert.dates = FALSE and converted in Stata, or
315619200 should be added and then multiplied by 1000
before passing to write.dta and assigning format %tc.
Stata's comments on the first route are at
https://www.stata.com/manuals13/ddatetime.pdf, but at the time of
writing were wrong: R uses POSIX conventions and hence does not count
leap seconds.
Thomas Lumley and R-core members: support for value labels by Brian Quistorff.
The major difference between supported file formats in Stata versions
is that version 7.0 and later allow 32-character variable names (5 and
6 were restricted to 8-character names). The abbreviate
function is used to trim variable names to the permitted length. A
warning is given if this is needed and it is an error for the
abbreviated names not to be unique. Each version of Stata is claimed
to be able to read all earlier formats.
The columns in the data frame become variables in the Stata data set. Missing values are handled correctly.
There are four options for handling factors. The default is to use
Stata ‘value labels’ for the factor levels. With
convert.factors = "string", the factor levels are written as
strings (the name of the value label is taken from the
"val.labels" attribute if it exists or the variable name
otherwise). With convert.factors = "numeric" the numeric values
of the levels are written, or NA if they cannot be coerced to
numeric. Finally, convert.factors = "codes" writes the
underlying integer codes of the factors. This last used to be the
only available method and is provided largely for backwards
compatibility.
If the "label.table" attribute contains value labels with
names not already attached to a variable (not the variable name or
name from "val.labels") then these will be written out as well.
If the "datalabel" attribute contains a string, it is written out
as the dataset label otherwise the dataset label is "Written by R.".
If the "expansion.table" attribute exists expansion fields are
written. This attribute should contain a list where each element is
character vector of length three. The first vector element contains the
name of a variable or "_dta" (meaning the dataset). The second element
contains the characeristic name. The third contains the associated data.
If the "val.labels" attribute contains a character vector with a
string label for each value then this is written as the value
labels. Otherwise the variable names are used.
If the "var.labels" attribute contains a character vector with a
string label for each variable then this is written as the variable
labels. Otherwise the variable names are repeated as variable labels.
For Stata 8 or later use the default version = 7 -- the only
advantage of Stata 8 format over 7 is that it can represent multiple
different missing value types, and R doesn't have them. Stata 10/11
allows longer format lists, but R does not make use of them.
Note that the Stata formats are documented to use ASCII strings -- R does not enforce this, but use of non-ASCII character strings will not be portable as the encoding is not recorded. Up to 244 bytes are allowed in character data, and longer strings will be truncated with a warning.
Stata uses some large numerical values to represent missing
values. This function does not currently check, and hence integers
greater than 2147483620 and doubles greater than
8.988e+307 may be misinterpreted by Stata.
Stata 6.0 Users Manual, Stata 7.0 Programming manual, Stata online help (version 8 and later, also https://www.stata.com/help.cgi?dta_114 and https://www.stata.com/help.cgi?dta_113) describe the file formats.
read.dta,
attributes,
DateTimeClasses,
abbreviate
write.dta(swiss, swissfile <- tempfile())
read.dta(swissfile)
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