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: 1.0.0
Depends: R (≥ 3.2.3)
Imports: checkmate, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny (≥ 1.5.0), stringr, tibble, tidyr (≥ 1.0.0)
Suggests: knitr, lazyeval, plotly, rmarkdown, usethis, testthat
Published: 2021-07-20
Author: Sean Hackett ORCID iD [aut, cre], Calico Life Sciences LLC [cph, fnd]
Maintainer: Sean Hackett <sean at calicolabs.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: romic results

Downloads:

Reference manual: romic.pdf
Vignettes: romic
Package source: romic_1.0.0.tar.gz
Windows binaries: r-devel: romic_1.0.0.zip, r-release: romic_1.0.0.zip, r-oldrel: romic_1.0.0.zip
macOS binaries: r-release (arm64): romic_1.0.0.tgz, r-release (x86_64): romic_1.0.0.tgz, r-oldrel: romic_1.0.0.tgz

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