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Generate reports that enable quick visual review of temporal shifts in record-level data. Time series plots showing aggregated values are automatically created for each data field (column) depending on its contents (e.g. min/max/mean values for numeric data, no. of distinct values for categorical data), as well as overviews for missing values, non-conformant values, and duplicated rows. The resulting reports are shareable and can contribute to forming a transparent record of the entire analysis process. It is designed with Electronic Health Records in mind, but can be used for any type of record-level temporal data (i.e. tabular data where each row represents a single "event", one column contains the "event date", and other columns contain any associated values for the event).
Version: | 1.1.1 |
Imports: | data.table (≥ 1.12.8), readr (≥ 2.0.0), ggplot2 (≥ 3.1.0), scales (≥ 1.1.0), cowplot (≥ 0.9.3), rmarkdown, reactable (≥ 0.2.3), utils, stats, xfun (≥ 0.15) |
Suggests: | covr, knitr, testthat (≥ 3.0.0), codemetar |
Published: | 2023-07-18 |
DOI: | 10.32614/CRAN.package.daiquiri |
Author: | T. Phuong Quan |
Maintainer: | T. Phuong Quan <phuong.quan at ndm.ox.ac.uk> |
BugReports: | https://github.com/ropensci/daiquiri/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/ropensci/daiquiri, https://ropensci.github.io/daiquiri/ |
NeedsCompilation: | no |
Citation: | daiquiri citation info |
Materials: | README NEWS |
CRAN checks: | daiquiri results |
Reference manual: | daiquiri.pdf |
Vignettes: |
Walkthrough for the daiquiri package |
Package source: | daiquiri_1.1.1.tar.gz |
Windows binaries: | r-devel: daiquiri_1.1.1.zip, r-release: daiquiri_1.1.1.zip, r-oldrel: daiquiri_1.1.1.zip |
macOS binaries: | r-release (arm64): daiquiri_1.1.1.tgz, r-oldrel (arm64): daiquiri_1.1.1.tgz, r-release (x86_64): daiquiri_1.1.1.tgz, r-oldrel (x86_64): daiquiri_1.1.1.tgz |
Old sources: | daiquiri archive |
Please use the canonical form https://CRAN.R-project.org/package=daiquiri to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.