Batching Routines in Parallel and Passing Command-Line Arguments
to R

Functions to allow you to easily pass command-line arguments into R, and functions to aid in submitting your R code in parallel on a cluster and joining the results afterward (e.g. multiple parameter values for simulations running in parallel, splitting up a permutation test in parallel, etc.). See `parseCommandArgs(...)' for the main example of how to use this package.

Simple, Consistent Wrappers for Common String Operations

c(person(given = "Hadley",
             family = "Wickham",
             role = c("aut", "cre", "cph"),
             email = "hadley@rstudio.com"),
      person(given = "RStudio",
             role = c("cph", "fnd")))

A consistent, simple and easy to use set of
    wrappers around the fantastic 'stringi' package. All function and
    argument names (and positions) are consistent, all functions deal with
    "NA"'s and zero length vectors in the same way, and the output from
    one function is easy to feed into the input of another.

covr, htmltools, htmlwidgets, knitr, rmarkdown, testthat

Hadley Wickham [aut, cre, cph],
  RStudio [cph, fnd]

c(person("Ron", "Wehrens", role = c("aut", "cre"), comment =
        "author of GC-MS part", email = "ron.wehrens@gmail.com"),
        person("Pietro", "Franceschi", role = "aut", comment = "author
        of LC-MS part"), person("Nir", "Shahaf", role = "ctb"),
        person("Matthias", "Scholz", role = "ctb"), person("Georg",
        "Weingart", role = "ctb", comment = "development of GC-MS
        approach"), person("Elisabete", "Carvalho", role = "ctb",
        comment = "testing and feedback of GC-MS pipeline"))

MS-based metabolomics data processing and compound
        annotation pipeline.

Ron Wehrens [aut, cre] (author of GC-MS part), Pietro
        Franceschi [aut] (author of LC-MS part), Nir Shahaf [ctb],
        Matthias Scholz [ctb], Georg Weingart [ctb] (development of
        GC-MS approach), Elisabete Carvalho [ctb] (testing and feedback
        of GC-MS pipeline)