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codebook  

Automatic Codebooks from Metadata Encoded in Dataset Attributes
View on CRAN: Click here


Download and install codebook package within the R console
Install from CRAN:
install.packages("codebook")

Install from Github:
library("remotes")
install_github("cran/codebook")

Install by package version:
library("remotes")
install_version("codebook", "0.9.5")



Attach the package and use:
library("codebook")
Maintained by
Ruben Arslan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-21
Latest Update: 2020-06-06
Description:
Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
How to cite:
Ruben Arslan (2018). codebook: Automatic Codebooks from Metadata Encoded in Dataset Attributes. R package version 0.9.5, https://cran.r-project.org/web/packages/codebook. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5.8 (2018-03-21 18:22), 0.5.9 (2018-05-22 21:24), 0.6.2 (2018-07-26 10:10), 0.6.3 (2018-08-01 17:40), 0.7.4 (2018-11-24 20:40), 0.7.5 (2018-12-04 12:20), 0.7.6 (2019-01-08 16:30), 0.8.0 (2019-02-21 16:20), 0.8.1 (2019-05-21 14:51), 0.8.2 (2020-01-09 17:20), 0.9.2 (2020-06-07 01:40)
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