R: Automatic Codebooks from Metadata Encoded in Dataset Attributes

# Automatic Codebooks from Metadata Encoded in Dataset Attributes

## Documentation for package ‘codebook’ version 0.10.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_R | Append R to string, if it doesn't end in R already.
aggregate_and_document_scale | Aggregate variables and remember which variables this were
bfi | Mock BFI data
codebook | Generate rmarkdown codebook
codebook_browser | Browse and search codebook
codebook_component_scale | Codebook component for scales
codebook_component_single_item | Codebook component for single items
codebook_data_info | Codebook data info
codebook_items | Tabular codebook
codebook_missingness | Codebook missingness
codebook_survey_overview | Codebook survey overview
codebook_table | Codebook metadata table
compact_codebook | Compact Codebook
compute_reliabilities | Compute reliabilities
data_description_default | Data description default
detect_missing | Detect missing values
detect_missings | Detect missing values
detect_scales | Detect item scales
dict_to_list | Go from a named list to a key-value data frame or data dictionary and back
ended | How many surveys were ended?
expired | How many surveys were expired?
get_skimmers.haven_labelled | Define skimmers for haven_labelled variables
get_skimmers.haven_labelled_spss | Define skimmers for haven_labelled_spss variables
has_label | Has label
has_labels | Has labels
knit_print.alpha | Pretty-print a Cronbach's alpha object
knit_print.htest | Print a 'stats::cor.test()' object for knitr
knit_print.multilevel | Print a 'psych::multilevel.reliability()' object for knitr
label_browser | Browse and search variable and value labels
label_browser_static | Browse and search variable and value labels
likert_from_items | Derive a likert object from items
list_to_dict | Go from a named list to a key-value data frame or data dictionary and back
load_data_and_render_codebook | Submit a data file and an rmarkdown template as a file to generate a codebook. Used chiefly in the webapp.
md_pattern | Missing data patterns
metadata | Add metadata to a dataset
metadata<- | Add metadata to a dataset
metadata_jsonld | Metadata as JSON-LD
metadata_list | Metadata from dataframe
modified | How many surveys were modified?
new_codebook_rmd | Create a codebook rmarkdown document
plot_labelled | Plot labelled vector
rescue_attributes | Rescue lost attributes
reverse_labelled_values | Reverse labelled values reverse the underlying values for a numeric 'haven::labelled()' vector while keeping the labels correct
skim_codebook | Skim codebook
to_factor | To factor
zap_attributes | Zap attributes
zap_labelled | Zap labelled class