Imports: dplyr (>= 0.5.0), knitr, stringi, markdown

person("Carola", "Deppe", role = c("ctb")),
person("Ruijing", "Li", role = c("ctb")),
person("John", "Swift", role = c("ctb"))

person("Sarah", "Johnston",  email = "Sarah.Johnston@capitalone.com",  role = c("aut", "cre")),
person("Rob", "Noble-Eddy", role = c("aut")),
person("Krishan", "Bhasin", role = c("aut")),
person("John", "Swift", role = c("ctb")),
person(given = "Capital One Services, LLC",

Title: A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Cleaning Process
Authors@R: c(person("Anne Helby", "Petersen", , email="ahpe@sund.ku.dk", role="aut"),
person("Claus Thorn", "Ekstrøm", , email="ekstrom@sund.ku.dk", role=c("aut", "cre")))
Description: Data cleaning is an important first step of any statistical
analysis. dataMaid provides an extendable suite of test for common potential
errors in a dataset. It produces a document with a thorough summary of the
checks and the results that a human can use to identify possible errors.
Imports: haven, methods, pander, rmarkdown, robustbase, gridExtra
'identifyWhitespace.R' 'isCPR.R' 'isEmpty.R' 'isKey.R' 'misc.R'

Data Frame as Part of the Data Screening Process
Description: Data screening is an important first step of any statistical
analysis. dataMaid autogenerates a customizable data report with a thorough
summary of the checks and the results that a human can use to identify possible
errors. It provides an extendable suite of test for common potential
Imports: gridExtra, haven, htmltools, magrittr, methods, pander,

Authors@R: c(person(given="Anne Helby", family="Petersen", email="ahpe@sund.ku.dk", role="aut"),
person(given="Claus Thorn", family="Ekstrøm", email="ekstrom@sund.ku.dk", role=c("aut", "cre")))

analysis. dataMaid auto generates a customizable data report with a thorough
Imports: DT, gridExtra, haven, htmltools, magrittr, methods, pander,
Suggests: knitr, rmarkdown (>= 1.10), testthat

Imports: DT, ggplot2, gridExtra, haven, htmltools, magrittr, methods,
pander, robustbase (>= 0.93-2), stringi, whoami