Reads mass spectrometry data in mzXML format.
readMzXmlData is a wrapper around read.mzXML provided by
caMassClass and caTools written by Jarek Tuszynski
<jaroslaw.w.tuszynski@saic.com>. It intends to load only
necessary stuff. That's why it is extracted from caMassClass
and caTools.

readMzXmlData is a wrapper around read.mzXML provided by
caMassClass and caTools written by Jarek Tuszynski
<jaroslaw.w.tuszynski@saic.com>.  It intends to load only
necessary stuff. That's why it is extracted from caMassClass
and caTools.

Functions for reading mass spectrometry data in mzXML
format.

Reads mass spectrometry data in mzXML format

c(person("Sebastian", "Gibb", role=c("aut", "cre"),
email="mail@sebastiangibb.de"), person("Jarek", "Tuszynski",
role="aut", comment= "Author of .base64decode and .fregexpr"))
'attribute-functions.R' 'base64-functions.R'
'fregexpr-functions.R' 'grep-functions.R'
'mqReadMzXml-functions.R' 'package.R' 'parseMzXml.R'
'readMzXmlDir-functions.R' 'readMzXmlFile-functions.R'
Sebastian Gibb [aut, cre], Jarek Tuszynski [aut] (Author of
.base64decode and .fregexpr)

'attribute-functions.R' 'base64-functions.R'
'grep-functions.R' 'mqReadMzXml-functions.R' 'package.R'
'parseMzXml.R' 'readMzXmlDir-functions.R'
'readMzXmlFile-functions.R' 'revfregexpr-functions.R'

Reads Mass Spectrometry Data in mzXML Format
Functions for reading mass spectrometry data in mzXML format.

Read ODS files and puts them into data frames
Read ODS (OpenDocument Spreadsheet) files and put them into data
frames.

Read ODS (OpenDocument Spreadsheet) and puts them into data frames.

Gerrit-Jan Schutten, Chung-hong Chan, Thomas J. Leeper
Import ODS (OpenDocument Spreadsheet) into R as a data frame. Also support writing data frame into ODS file.

Gerrit-Jan Schutten, Chung-hong Chan, Thomas J. Leeper and other contributors
xml2 (>= 1.0.0), cellranger, readr, stringi

Gerrit-Jan Schutten, Chung-hong Chan, Thomas J. Leeper, John Foster,  and other contributors
xml2 (>= 1.3.2), cellranger, readr (>= 1.2.1), stringi, utils
dplyr, testthat, datasets, covr, knitr, rmarkdown