Description: The package provides functionality to check variables against a
set of basic rules. A rule file can be accompanied by look-up tables. In
addition, the package provides some convenience testing functions that may
serve also as an example for defining clearer 'data rules' or tests. An
HTML based user interface facilitates initial exploration of the

Title: Tools for Checking Data Consistency
Author: "Simon, Reinhard (CIP)" <R.SIMON@CGIAR.ORG>, Jose Francisco Loff <jfloff at phistat.com>
Copyright: International Potato Center (CIP)
Description: Functions to check variables against a
set of data quality rules. A rule file can be accompanied by look-up tables. In
addition, there are some convenience functions that may
serve as an example for defining clearer 'data rules'. An

Title: Data Frame Column Name, Class and Value Checking
Description: The primary function check_data() checks a data frame for
column presence, column class and column values.
If the user-defined conditions are met the function
returns the an invisible copy of the original data frame,
otherwise the function throws an informative error.
Suggests: assertr, knitr, magrittr, rmarkdown, testthat

column classes, values, keys, joins, vectors and scalars.
returns an invisible copy of the data frame, vector or scalar.
Otherwise the function throws an informative error.
Suggests: assertr, knitr, nycflights13, rmarkdown, testthat

Description: Checks column names, classes, values, keys and joins in data frames.
Also checks length, class and values of vectors and scalars.
Returns an informative error message if user-defined conditions are not met.
Suggests: knitr, nycflights13, rmarkdown, tibble, testthat

Title: Interactive and Reproducible Data Cleaning
Description: Flexible and efficient cleaning of data with interactivity.
'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code.
The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.
Imports: shiny, htmltools, summarytools, dplyr, rlang, DT, magrittr,
plotly, grDevices, stats, purrr, glue, formatR, RColorBrewer,
clipr, rstudioapi, utils, lubridate, shinyWidgets, htmlwidgets,
Author: Alexander Hurley [cre, aut, cph]