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codebook 0.9.6
Bugfixes
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 0.9.3
Bugfixes
- clean unloading/reset chunk labels (bug was probably only noticeable
when embedding multiple codebooks in one page)
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 0.8.2
Bugfixes
- compatibility with skimr 2.0.0
- compatibility with forcats 0.4.0
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 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)
codebook 0.7.6
Bugfixes
- changed vignette titles (one was duplicated)
codebook 0.7.5
Bugfixes
- import/export knit_print generic from knitr
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)
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.
codebook 0.5.9
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$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
Bug fixes
- 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
codebook 0.5.8
- don’t write files into anything but tempdir
codebook 0.5.7
- changed description and documentation
codebook 0.5.6
codebook 0.5.5
- improved documentation
- more tests
codebook 0.4.4
- wrote some tests
- tried to please goodpractice::gp()
- removed some cruft
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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