RaMS: R Access to Mass-Spec Data

R-based access to mass-spectrometry (MS) data. While many packages exist to process MS data, many of these make it difficult to access the underlying mass-to-charge ratio (m/z), intensity, and retention time of the files themselves. This package is designed to format MS data in a tidy fashion and allows the user perform the plotting and analysis.

Version: 1.0.0
Imports: xml2, base64enc, data.table, utils
Suggests: testthat, knitr, rmarkdown, tidyverse, plotly, openxlsx, DBI, RSQLite, reticulate
Published: 2021-03-22
Author: William Kumler [aut, cre, cph]
Maintainer: William Kumler <wkumler at uw.edu>
BugReports: https://github.com/wkumler/RaMS/issues
License: MIT + file LICENSE
URL: https://github.com/wkumler/RaMS
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RaMS results

Downloads:

Reference manual: RaMS.pdf
Vignettes: Intro-to-RaMS
RaMS-and-friends
Package source: RaMS_1.0.0.tar.gz
Windows binaries: r-devel: RaMS_1.0.0.zip, r-release: RaMS_1.0.0.zip, r-oldrel: RaMS_1.0.0.zip
macOS binaries: r-release (arm64): RaMS_1.0.0.tgz, r-release (x86_64): RaMS_1.0.0.tgz, r-oldrel: RaMS_1.0.0.tgz

Reverse dependencies:

Reverse imports: RawHummus

Linking:

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