Releases: rOpenGov/retroharmonize
Improved documentation
Improved documentation and more consistent parameters.
Reading STATA files.
0.1.7 With case study on harmonizing Arab Barometer surveys
- Package moved to rOpenGov.
- Arab Barometer tutorial vignette.
- Transition to tidyverse 1.0+ with using the rlang .data pronoun, etc.
- Bug fix in harmonize_waves(): Date types are now correctly harmonized.
-A new function, harmonize_var_names(), helps to systematically rename variables in a list of surveys. Conventional names to keep are returned by suggest_permanent_names(), and the helper function suggest_var_names() provides a simple wrapper around var_label_normalize() and suggest_permanent_names(). - A new function, subset_waves(), helps to subset a wave of surveys.
- harmonize_values() now accepts perl-like regex.
retroharmonize 0.1.13 is on CRAN
The goal of retroharmonize is to facilitate retrospective (ex-post) harmonization of data, particularly survey data, in a reproducible manner. The package provides tools for organizing the metadata, standardizing the coding of variables, variable names and value labels, including missing values, and for documenting all transformations, with the help of comprehensive S3 classes.
This is the first release on CRAN
0.1.0 Retrospective harmonization of survey data files in R
The goal of retroharmonize is to allow the organization of data joins or panels from various data sources, particularly survey microdata files, by retrospective harmonization the value codes, the value labels, and the missing value ranges of the data in a reproducible manner with the help of comprehensive s3 classes.