dataReporter: Reproducible Data Screening Checks and Report of Possible Errors
Data screening is an important first step of any statistical
analysis. 'dataReporter' auto generates 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
errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.
| Version: |
1.0.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
ggplot2, gridExtra, haven, htmltools, magrittr, methods, pander, rmarkdown (≥ 1.10), robustbase (≥ 0.93-2), stringi, whoami |
| Suggests: |
knitr, testthat |
| Published: |
2021-11-11 |
| Author: |
Anne Helby Petersen [aut],
Claus Thorn Ekstrøm [aut, cre] |
| Maintainer: |
Claus Thorn Ekstrøm <ekstrom at sund.ku.dk> |
| BugReports: |
https://github.com/ekstroem/dataReporter/issues |
| License: |
GPL-2 |
| URL: |
https://github.com/ekstroem/dataReporter |
| NeedsCompilation: |
no |
| SystemRequirements: |
pandoc (>= 2.0; https://pandoc.org), git, whoami |
| Citation: |
dataReporter citation info |
| CRAN checks: |
dataReporter results |
Documentation:
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