readstata13 0.11.0

• Initial support for Stata 18. Import .dtas files (Stata framesets) via read.dtas(). Alias variables are currently ignored with a warning.
• The select.cols argument accepts either variable names or column indices.
• Fix compilation on musl and other non-glibc based systems.
• Add package alias to readstata13.Rd

readstata13 0.10.1

• Fix writing NA and NA_character_ values
• Fix writing of STRLs on big endian systems

readstata13 0.10.0

• Fix sortlist attribute for dta format 119
• Fix compress option. In the past, unwanted conversions to integer type could occur.
• Fix encoding issues in variable and data labels
• Fix for reading/writing of format 119
• Fix build on FreeBSD
• New feature: improved handling of time and date formats
• New feature: collect warnings from read.dta13

readstata13 0.9.2

• Fix build on OSX

readstata13 0.9.1

• Allow reading only pre-selected variables
• Experimental support for format 119
• Improve partial reading
• Export of binary data from dta-files
• New function get.label.tables() to show all Stata label sets
• Fix check for duplicate labels
• Fixes in set.lang

readstata13 0.9.0

• Generate unique factor labels to prevent errors in factor definition
• Check interrupt for long read
• Fix storage size of character vectors in save.dta13
• Fix saving characters containing missings
• Implement partial reading of dta-files
• Fix an integer bug with saving data.frames of length requiring uint64_t

readstata13 0.8.5

• Fix errors on big-endian systems

readstata13 0.8.4

• Fix valgrind errors. converting from dta.write to writestr
• Fix for empty data label
• Make replace.strl default

readstata13 0.8.3

• Restrict length of varnames to 32 chars for compatibility with Stata 14
• Stop compression of doubles as floats. Now test if compression of doubles as interger types is possible.
• Add many function tests

readstata13 0.8.2

• Save NA values in character vector as empty string
• Convert.underscore=T will convert all non-literal characters to underscores
• Fix saving of Dates
• Save with convert.factors by default
• Test for NaN and inf values while writing missing values and replace with NA
• Remove message about saving factors

readstata13 0.8.1

• Convert non-integer variables to factors (nonint.factors=T)
• Working with strL variables is now a lot faster (thank to Magnus Thor Torfason)
• Fix handling of large datasets
• Some code cleanups

readstata13 0.8

• Implement reading all version prior 13.
• Clean up code.
• Fix a crash when varlables do not match ncols.
• Update leap seconds R code with foreign.

readstata13 0.7.1

• Fix saving of files > 2GB

readstata13 0.7

• read and write Stata 14 files (ver 118)
• Fix save for variables without non-missing values
• Read strings from different file encodings
• Code cleanups

readstata13 0.6.1

• Fix heap overflow

readstata13 0.6

• Various fixes
• Reading stbcal-files

readstata13 0.5-3

• Write dta-files
• Read/write LSF and MSF files
• Source testing and cleaning
• Support for multiple label languages (see http://www.stata.com/manuals13/dlabellanguage.pdf)
• Additional tools for label handling

readstata13 0.4

• Convert.dates from foreign::read.dta()
• Handle different NA values
• Convert strings to system encoding
• Some checks on label assignment

readstata13 0.3

• Reading file from url. Example: read.dta13("http://www.stata-press.com/data/r13/auto.dta")
• Convert.underscore from foreign::read.dta(): converts _ to .
• Missing.type parts from foreign::read.dta(). If TRUE return “missing”
• New replace.strl argument to replace the reference to a STRL string in the data.frame with the actual value

readstata13 0.2

• Read stata characteristics and save them in extension.table attribute
• More robust handling of factor labels
• Set file encoding for all strings and convert them to system encoding
• Fixed compiler warnings

readstata13 0.1

• Reading data files and create a data.frame
• Assign variable names
• Read the new strL strings and save them as attribute
• Convert stata label to factors and save them as attribute
• Read some meta data (timestamp, dataset label, formats,…)