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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=romic to link to this page.
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