Install latest R (3.x) on RHEL 5 - r

I'd like to install the latest version of R in RHEL 5 as I tried to install some library (plyr) but it complained a dependency could not be used with my installed version of R: package ‘Rcpp’ is not available (for R version 2.15.2)
2.15.2 is the latest precompiled R binary available for RHEL5 from epel. I guess they stopped updating it. Is compiling from source to get R 3.x my only solution here or there is some binary installer somewhere else? I much rather use something like yum since it take care of all the R dependency packages as well.

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How to install RQDA version in R version 4.02?

How to install RQDA version in R version 4.02?
Warning in install.packages :
package ‘RQDA’ is not available (as a binary package for R version 4.0.2)
You could have a look at the fork at https://github.com/RQDA/RQDA. Since packages that RQDA rely on have been archived on CRAN (RGtk and GtkWidgets), RQDA was archived subsequently.
The official published package has been archived, because of some of its dependencies. However, the package can still be installed from the archives. The steps to do this are as follows:
Install RGtk2 from CRAN.
Install the archived versions of gWidgets and gWidgetsRGtk2. devtools::install_version can do this quite easily when the right arguments are passed to the function. Consult the help file.
Call library(RGtk2) at the R console. You will be prompted to install the GUI library Gtk+, if you don't already have it.
Install the archived version of RQDA from CRAN. If you are using a 64-bit system, you will have to pass the --no-multiarch flag, or else it will fail.
Launch RQDA with library(RQDA).
I have used these steps to successfully install the package on Windows 10 64-bit running R-4.0.3. Others have used a similar algorithm to do it on Linux and Mac with only slight variations.
Since I had to replicate this for some members of my team I wrote an R script that can be used to carry out the installation. You are welcome to try it out.
That said, development on the main RQDA branch has recommenced, so I expect a resolution of this issue in the near future.

R - Installing package with remotes::install_github ask for higher version of the dependencies which BiocManager::install() can not find

I need to install few packages that should be installed with remotes::install_github() like
"acidgenomics/basejump" or "satijalab/seurat".
During the installation, it need to upgrade few other packages version. The BiocManager::install program cannot find those versions and I had to install those dependencies packages version with:
R CMD INSTALL IRanges_2.20.2.tar.gz
Then other packages, that use the same packages stop working. like DESeq2,
I get the error:
Error: package or namespace load failed for ‘DESeq2’:
objects ‘rowSums’, ‘colSums’, ‘rowMeans’, ‘colMeans’ are not exported by 'namespace:S4Vectors'
I found few answers that say it happen (like url)
remotes::install_github() isn't picking up the correct Bioconductor
devel repos, whereas installing with BiocManager::install() does work
as expected.
we have the R 3.6.0 installed as a module and a lot of users uses the same R version. I need all packages to work for everyone.
How can I make all variety packages versions to work?
Finally, I install new version of R 3.6.3 with Bioconductor 3.10 and all the packages install right.

R package was installed by version with different internals

On my Win 7 Ent x64 I installed RStudio R-3.4.2.
I installed few packages that I need (RPostgreSQL, sqldf, etc..)
But when I'm executing code, these libraries give me errors:
library(RPostgreSQL)
Error: package ‘RPostgreSQL’ was installed by an R version with different internals; it needs to be reinstalled for use with this R version
In addition: Warning message:
package ‘RPostgreSQL’ was built under R version 3.5.0
All of the packages are downloaded from CRAN. RPostgrSQL is 0.6-2 version.
I'm pretty sure that solution is quite simple, but I searched a lot and still cannot find the solution.
How did you install the package RPostgreSQL? If you used
install.packages("RPostgreSQL") on your Windows it installed using binaries, which may have been built using a different R version. In your case, 3.5.0 vs 3.4.2.
Try using install.packages("RPostgreSQL", type="source"). This way your machine will compile the package from source using your version of R, and it should work.
If the package needs C/C++/Fortran compilation, you will als need RTools installed on your machine.
You can try to find all packages installed with the old version R like this:
grep 'Built: R 3.4' /usr/local/lib/R/site-library/*/DESCRIPTION > temp
and then you can uninstall the packages with remove.packages()

Error in installing packages from RStudio

I have been trying to install the package "doby" from RStudio (ver 0.98.501 ) on ubuntu 13.04 but it keeps throwing the following warning and the package does not get installed.
Warning in install.packages :
package ‘doBy’ is not available (for R version 2.15.2)
I have followed all the instructions given here :
http://www.r-bloggers.com/installing-r-packages/
Can someone please suggest where I might be going wrong ?
If you are on Ubuntu, please see this README for Ubuntu from CRAN --- it will allow you to get to the current version of R (today 3.0.2, in a few days 3.0.3) with mininal effort.
Once you have a current R version, getting the doBy package (which depends on it) installed is a piece of cake too.
If however you prefer to stay with your version of R, you can manually fetch an older version of doBy from its CRAN archive. Download to, say, /tmp and run R CMD INSTALLby hand on it.
From http://cran.r-project.org/web/packages/doBy/index.html, package doBy depends on R version 3.0 and above. Your R version is 2.15.2. You will need to install a later version of R, and then change the settings in Rstudio to target the updated version.

Installing newest older compatible version R of package

Installing older version of R package shows how to install a different version of an R package.
Can that be automated so I can have it install the newest (older) version that is compatible with my R installation?
In my case I need it for Rcpp, but a general solution working for any package would be preferred.

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