Re: “Standard” software (was: Re: Early-2014 Macbook Air and Linux Mint Cinnamon)
Lawrence D’Oliveiro <[email protected]>
| Newsgroups | comp.sys.mac.vintage,comp.os.linux.misc |
|---|---|
| Organization | A noiseless patient Spider |
| Message-ID | <[email protected]> |
On Sat, 27 Jun 2026 18:22:31 GMT, Charlie Gibbs wrote:
> In fact, I prefer LibreOffice's spreadsheet to Excel ...
You’re not the only one. Actual researchers who have studied the issue
have come to the same conclusion
<https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008984>:
don’t use spreadsheets to try to do professional-quality data
analyses, but if you must use a spreadsheet, LibreOffice Calc is
preferable to Microsoft Excel.
In general, I absolutely love the recommendations that they make. The
first one is a biggie:
Scripted analyses are preferred over spreadsheets. Gene name to
date conversion is a bug specific to spreadsheets and doesn’t
occur in scripted computer languages like Python or R. In
addition, analyses conducted with Python and R notebooks (eg:
Jupyter or Rmarkdown) capture computational methods and results in
a stepwise fashion meaning these workflows can be more readily
audited. These notebooks can therefore achieve a higher level of
computational reproducibility than spreadsheets. Although this
requires a big investment in learning a computer language, this
investment pays off in the longer term.
Note that bit: “capture computational methods and results in a
stepwise fashion meaning these workflows can be more readily audited”.
Here I thought reproducibility was an absolutely non-negotiable
foundation stone of scientific research, yet it seems people have been
publishing results with nothing to back up their analyses other than
an Excel spreadsheet.