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Showing content from http://cran.rstudio.com/web/packages/rJava/../BASiNET/../rmarkdown/../codebook/news/news.html below:

NEWS

• Language en_GB -> en-GB

• 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

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

• clean unloading/reset chunk labels (bug was probably only noticeable when embedding multiple codebooks in one page)

• 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

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

• compatibility with skimr 2.0.0
• compatibility with forcats 0.4.0

• 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.

• 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

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

• changed vignette titles (one was duplicated)

• import/export knit_print generic from knitr

• 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

• 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

• 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)

• 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

• 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.

• 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)

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

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

• 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$type contains “multiple”
• make it easier to trace which variable in a dataset cannot be summarised
• added and document aggregate_and_document_scale for people who don’t import data via formr.org and want reliabilities to be calculated automatically
• use rio to import all kinds of file formats in the webapp

• fix bugs in plot_labelled
• fix bugs when variables are entirely missings
• escape HTML in various labels, use safe names for anchors, figures
• reliability functions no longer garble names
• require skimr >= 1.0.2 and ggplot2 >= 2.0.0

• don’t write files into anything but tempdir

• changed description and documentation

• changed license to MIT

• improved documentation
• more tests

• wrote some tests
• tried to please goodpractice::gp()
• removed some cruft

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