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Something that's come up and is quite relevant is that a lot of the instructions work perfectly for users who are brand new to R and who might not have it installed on their system.
Background
One of the participants actually had a good experience with the jekyll lesson template the first time they used it, but after Jekyll updated, they were left with a non-working version on their machine and they never quite got the hang of it afterwards. R is relatively good at avoiding these issues by sequestering libraries in version-specific paths by default, but there the minor version still updates every year in April and we need to prepare people for that situation that could be disruptive.
Profiles to be aware of
The issue comes down to situations where people already have R or pandoc installed on their machines. They fall into a few categories:
People who use R regularly, but only update whenever forced to
People who don't use R regularly and still have R version 3.0.3 installed
People who use R regularly and refuse to update because their thesis work depends on the setup on their machine
Solutions/tools to consider
MacOS
The installation for R on MacOS is normally via the installer, but some people use brew to install R, which can lead to difficult situations sometimes. For maintaining several versions of R in parallel, there is RSwitch: https://rud.is/rswitch/
Something that's come up and is quite relevant is that a lot of the instructions work perfectly for users who are brand new to R and who might not have it installed on their system.
Background
One of the participants actually had a good experience with the jekyll lesson template the first time they used it, but after Jekyll updated, they were left with a non-working version on their machine and they never quite got the hang of it afterwards. R is relatively good at avoiding these issues by sequestering libraries in version-specific paths by default, but there the minor version still updates every year in April and we need to prepare people for that situation that could be disruptive.
Profiles to be aware of
The issue comes down to situations where people already have R or pandoc installed on their machines. They fall into a few categories:
Solutions/tools to consider
MacOS
The installation for R on MacOS is normally via the installer, but some people use brew to install R, which can lead to difficult situations sometimes. For maintaining several versions of R in parallel, there is RSwitch: https://rud.is/rswitch/
Windows
Updating R can be accomplished with the {installr} package: https://talgalili.github.io/installr/
R itself: https://web.archive.org/web/20200929093154/http://www.dahl-jacobsen.dk/data/2019/05/11/multiple-r-installations-on-windows/
with RStudio: https://community.rstudio.com/t/install-multiple-r-versions-os-windows-10-and-use-them-to-cover-specific-reasons-inside-rstudiodesktop/36271
Linux
RStudio has some resources for installing multiple versions: https://docs.rstudio.com/resources/install-r/
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