v0.9.5

codebook 0.9.5

Changes

• default to psych for reliability because rosetta/ufs is hard to install
• no longer depends on archived package userfriendlyscience
• can now export PDF/XLSX from static label browser

Bugfixes

• compatibility with glue 1.8.0
• fixed issues with number of digits in DT, labelled_spss, anonymous multiline aggregation functions

codebook v0.9.2

codebook 0.9.2

Changes

• Moved a lot of dependencies to Suggests to make package leaner
• Removed functions related to scaleDiagnosis, which are now implemented in ufs
• Updated citation to published paper

Bugfixes

• compatibility with skimr 2.1.0
• compatibility with vctrs 0.3.0
• compatibility with dplyr 1.0.0
• several small issues closed

codebook v0.8.1

codebook 0.8.1

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 v0.8.0

codebook 0.8.0

Changes

• removed three vignettes
• calculate reliability using userfriendlyscience instead 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

Bugfixes

• make it less likely that unique/private values are disclosed (e.g., free text)

bugfix release

export knit_print generic

version 0.7.4

codebook 0.7.4

Additions

• Function new_codebook_rmd creates a new file in your working directory
  with a codebook template.
• Function metadata can 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_label because 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::makeScales attributes
• improved binning and wrapping in plot_labelled
• removed the mice dependency to reduce the number of dependencies

Bugfixes

• detect_missing reset variable label with the new haven version (only between 0.6.3.9000 and 0.7.0, never on CRAN)
• reverse_labelled_values mislabelled values, if there were labelled missing values (numbers were correct)

Added vignettes and RStudio addins

codebook 0.6.3

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 qualtRics package
• Importing some functions from labelled package to add metadata
• Default method for haven::as_factor when labelled class is absent

Changes

• Changed the scale summary, so that Likert plots and distributions are shown
  on the first tab. Reliability now hidden under "Reliability details".
• removed unnecessary readr dependency.

Bugfixes

• summarising factors in a table
• turning off components of the codebook without empty strings being echoed
• allow using variable and value labels in the absence of the labelled class
  (as imported by rio for example)

codebook 0.6.2

Additions

• Three RStudio Addin Shinyapps to browse variable labels and codebook.

Bug fix

• Specify a mice dependency that doesn't break degenerate test cases.

v0.5.8 first CRAN release

codebook 0.5.8

• improved documentation
• changed license to MIT
• more tests, especially with haven-imported datasets
• removed dependency on formr
• added first attempt at JSON-LD metadata
• added metadata and data summaries as tables

Codebook release working well with haven metadata

Does not yet do JSON-LD, but generates dataset codebooks quite reliably.

v0.1.0 pre haven semantics

based on formr pre haven semantics