Changelog
Source:NEWS.md
    codebook 0.9.5
CRAN release: 2024-10-14
codebook 0.9.2
CRAN release: 2020-06-06
codebook 0.8.1
CRAN release: 2019-05-21
Bugfixes
- When errors occurred in the reliability computation, codebook would fail hard. It now fails with a warning and continues.
 - When variables of the same name existed in two datasets described in the same document, figures were overwritten. This is no longer the case, paths are dataset-name-prefixed now. Datasets are made “safe” for paths.
 
codebook 0.8.0
CRAN release: 2019-02-21
Changes
- removed three vignettes
 - calculate reliability using 
userfriendlyscienceinstead of Cronbach’s Alpha and correlations - make it easier to generate compact codebooks
 - hide machine-readable metadata in details tags (toggle to view)
 - plot number of characters for character variables
 - update explanations in web app slightly
 - reduce survey-specific language
 
codebook 0.7.4
CRAN release: 2018-11-24
Additions
- Function 
new_codebook_rmdcreates a new file in your working directory with a codebook template. - Function 
metadatacan be used to set dataset-level metadata before rendering a codebook (valid attributes will carry over to JSON-LD representation) - Compliance with Google Dataset Search, see examples
 
Changes
- removed 
zap_labelbecause haven 2.0.0 has this function - added several functions to add JSON-LD compliant metadata and to show it in the codebook
 - removed some non-standard attributes from the JSON-LD metadata so that datasets will be indexed in Google Dataset Search
 - work with haven 2.0.0’s changed class names
 - play nice with 
userfriendlyscience::makeScalesattributes - improved binning and wrapping in 
plot_labelled - removed the mice dependency to reduce the number of dependencies
 
codebook 0.6.3
CRAN release: 2018-08-01
Additions
- Vignettes for
- documenting the expected attribute structure, how to add metadata in R
 - importing metadata from SPSS or Stata files
 - importing metadata from Qualtrics as made available by 
qualtRicspackage 
 - Importing some functions from labelled package to add metadata
 - Default method for haven::as_factor when labelled class is absent
 
codebook 0.5.9
CRAN release: 2018-05-22
Additions
- plot_labelled now makes better plots for numeric variables
 - codebook generation has been parallelised using the future package. By calling e.g. 
plan(multicore(workers = 4))before the codebook function, the computation of reliabilities and the generation of scale and item summaries will happen in parallel. For this to work with plots, you have to choose a graphics device in knitr that supports parallelisation, by calling e.g.opts_chunk$set(dev = "CairoPNG"). - for variables that store multiple multiple choice values comma-separated, we now separate the values before plotting, if that item attribute 
attributes(item)$item$typecontains “multiple” - make it easier to trace which variable in a dataset cannot be summarised
 - added and document 
aggregate_and_document_scalefor people who don’t import data via formr.org and want reliabilities to be calculated automatically - use 
rioto import all kinds of file formats in the webapp