romic: R for High-Dimensional Omic Data

Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Version:	1.1.3
Depends:	R (≥ 3.2.3)
Imports:	checkmate, cli, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny (≥ 1.5.0), stringr, tibble, tidyr (≥ 1.0.0)
Suggests:	knitr, impute, lazyeval, plotly, rmarkdown, usethis, testthat (≥ 3.0.0)
Published:	2023-09-21
DOI:	10.32614/CRAN.package.romic
Author:	Sean Hackett [aut, cre], Calico Life Sciences LLC [cph, fnd]
Maintainer:	Sean Hackett <sean at calicolabs.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	romic results

Documentation:

Reference manual:	romic.pdf
Vignettes:	romic

Downloads:

Package source:	romic_1.1.3.tar.gz
Windows binaries:	r-devel: romic_1.1.3.zip, r-release: romic_1.1.3.zip, r-oldrel: romic_1.1.3.zip
macOS binaries:	r-release (arm64): romic_1.1.3.tgz, r-oldrel (arm64): romic_1.1.3.tgz, r-release (x86_64): romic_1.1.3.tgz, r-oldrel (x86_64): romic_1.1.3.tgz
Old sources:	romic archive

Linking:

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