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: | 1.0.0 |
| 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: | 2020-12-14 |
| 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 |
| CRAN checks: | dataReporter results |
| Reference manual: | dataReporter.pdf |
| Vignettes: |
Extending dataReporter |
| Package source: | dataReporter_1.0.0.tar.gz |
| Windows binaries: | r-devel: dataReporter_1.0.0.zip, r-release: dataReporter_1.0.0.zip, r-oldrel: dataReporter_1.0.0.zip |
| macOS binaries: | r-release: dataReporter_1.0.0.tgz, r-oldrel: dataReporter_1.0.0.tgz |
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