Using R to improve rigour and transparency in translational neuroscience-or is it just a rabbit hole?

Tara L Spires-Jones

doi:10.1093/braincomms/fcab290

Using R to improve rigour and transparency in translational neuroscience-or is it just a rabbit hole?

Research output: Contribution to journal › Editorial

Abstract / Description of output

Our Editor explores the use of R for improving rigour, reproducibility and transparency in translational neuroscience. She also provides an example of how to waste enormous amounts of time playing with data in R instead of doing her day job.

Original language	English
Article number	fcab290
Number of pages	2
Journal	Brain Communications
Volume	4
Issue number	1
DOIs	https://doi.org/10.1093/braincomms/fcab290
Publication status	Published - 25 Jan 2022

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10.1093/braincomms/fcab290Licence: Creative Commons: Attribution (CC-BY)

fcab290Final published version, 462 KBLicence: Creative Commons: Attribution (CC-BY)

Cite this

@article{0c0bade34d1a49e9a52ca40062578a2a,

title = "Using R to improve rigour and transparency in translational neuroscience-or is it just a rabbit hole?",

abstract = "Our Editor explores the use of R for improving rigour, reproducibility and transparency in translational neuroscience. She also provides an example of how to waste enormous amounts of time playing with data in R instead of doing her day job.",

author = "Spires-Jones, {Tara L}",

note = "{\textcopyright} The Author(s) (2022). Published by Oxford University Press on behalf of the Guarantors of Brain.",

year = "2022",

month = jan,

day = "25",

doi = "10.1093/braincomms/fcab290",

language = "English",

volume = "4",

journal = "Brain Communications",