Authors@R: c(person(given="Anne Helby", family="Petersen", email="ahpe@sund.ku.dk", role=c("aut")),
Imports: ggplot2, gridExtra, haven, htmltools, magrittr, methods,

pander, rmarkdown (>= 1.10), robustbase (>= 0.93-2), stringi,
SystemRequirements: pandoc (>= 2.0; https://pandoc.org), git, whoami

Title: Create and Append a Data Dictionary for an R Dataset
Authors@R: person("Dania M.", "Rodriguez", email = "dmrodz@gmail.com", role = c("aut", "cre"))
Description: Designed to create a basic data dictionary and append to the original dataset's attributes list. The package makes use of a tidy dataset and creates a data frame that will serve as a linker that will aid in building the dictionary. The dictionary is then appended to the list of the original dataset's attributes. The user will have the option of entering variable and item descriptions by writing code or use alternate functions that will prompt the user to add these.
Packaged: 2017-04-24 10:18:49 UTC; Dania Rodriguez
Maintainer: Dania M. Rodriguez <dmrodz@gmail.com>

Authors@R: c(person("Dania M.", "Rodriguez", email = "dmrodz@gmail.com", role = c("aut", "cre")),
Packaged: 2017-08-12 00:01:20 UTC; Dania Rodriguez

Authors@R: person("Emmanuel-Lin", "Toulemonde", email = "el.toulemonde@protonmail.com", role = c("aut", "cre"))
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Depends: R (>= 3.3.0), lubridate, stringr, Matrix
Suggests: knitr, rmarkdown, kableExtra, pander
Author: Emmanuel-Lin Toulemonde [aut, cre]

Suggests: knitr, rmarkdown, kableExtra, pander, testthat

Depends: R (>= 3.3.0), lubridate, stringr, Matrix, progress
Packaged: 2017-10-25 18:31:37 UTC; Emmanuel-Lin

Suggests: knitr, rmarkdown, kableExtra, pander, testthat (>= 2.0.0)

Packaged: 2019-01-02 10:22:54 UTC; eltoulemonde

Packaged: 2019-03-25 13:35:08 UTC; eltoulemonde

Packaged: 2019-07-19 12:49:01 UTC; Emmanuel Lin