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

Documentation:

Reference manual:	RaMS.pdf
Vignettes:	Intro-to-RaMS RaMS-and-friends

Downloads:

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-oldrel (arm64): RaMS_1.0.0.tgz, r-release (x86_64): RaMS_1.0.0.tgz, r-oldrel (x86_64): RaMS_1.0.0.tgz

Reverse dependencies:

Reverse imports:

RawHummus

Linking:

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