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A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives. Janitza, S., Majumder, M., Mendolia, F., Jeske, S., & Kulmann, H. (2021) <doi:10.1007/s43441-021-00318-4>.
Version: | 1.3.4 |
Depends: | R (≥ 3.5.0), seriation |
Imports: | shiny, dplyr, purrr, DT, here, tidyselect, rlang, tidyr, forcats, RColorBrewer, bsplus, dendextend, haven, reshape2, shape, shinyWidgets, shinydashboard |
Published: | 2024-09-18 |
DOI: | 10.32614/CRAN.package.elaborator |
Author: | Silke Janitza [aut], Steffen Jeske [aut], Madhurima Majumder [aut], Franco Mendolia [aut], Bodo Kirsch [cre], Hermann Kulmann [aut] |
Maintainer: | Bodo Kirsch <bodo.kirsch at bayer.com> |
License: | GPL-3 |
URL: | https://github.com/openpharma/elaborator |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | elaborator results |
Reference manual: | elaborator.pdf |
Package source: | elaborator_1.3.4.tar.gz |
Windows binaries: | r-devel: elaborator_1.3.4.zip, r-release: elaborator_1.3.4.zip, r-oldrel: elaborator_1.3.4.zip |
macOS binaries: | r-release (arm64): elaborator_1.3.4.tgz, r-oldrel (arm64): elaborator_1.3.4.tgz, r-release (x86_64): elaborator_1.3.4.tgz, r-oldrel (x86_64): elaborator_1.3.4.tgz |
Old sources: | elaborator archive |
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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.