installr | Functions for installing softwares from within R | Configuration Management library

I'm using R Studios Cloud but I am suddenly experiencing difficulty knitting my markdown in any format (html, pdf & word).

This is the error I'm thrown when I press the knit button:

Got a new company laptop and tried to install tidyr or installr, but it always fails because of magrittr.

If I want to install this package directly I'm getting the following error code:

Recently, I have updated R using installr so that I have now two versions (3.6.1 e 4.0.3) installed in my computer running Windows 10, but I only use the 4.0.3 version. For some reasons I do not know, the 'exams' package has not been transferred to the new version so I had to reinstall it, but now 'exams2pdf' does not work anymore and I get the following error message:

LaTeX Error: File `Sweave.sty' not found.

Any help would be very much appreciated.

With R 4.0.0 and recently R 4.0.1 being released recently, I would like to know how to upgrade?

Previously I used UpdateR from the installR package.

Will it work just as well upgrading to 4.x?

The documentation for 4.0.0 states that:

Packages need to be (re-)installed under this version (4.0.0) of R

Will updateR re-install everything and if not, how can I get list of packages to install in a reasonable amount of time.

I cannot believe I can't find any 4.x install or update details elsewhere, most importantly are there any specific issues or limitation or code changes required in 4.x from 3.x.

Also I use Rbuild Tools for Rcpp. Do I need to update those tools to 4.0 as well and is there a special way to do so?

I have Microsoft Visual Studio Professional 2015 installed on my machine, i also have SQL Server 2017 installed.

I am trying to install SQL Server Development Tools for BI projects on my machine,i tried installing 'SSDT for VS2015 17.4' , 'SSDT for VS2015 17.3' and also 'SSDT for VS2015 16.5' and everything failed.

So I used installR on Rstudio to update R to version 4.0.0, and it copied the files of my packages into the library file in the R, the directory being: C:\Users\Ibrahim\Documents\R\R-4.0.0\library

Whenever I'd call on a package, for example tidytext, it would give me:

I've updated to R 4.0.0 and RStudio version 1.2.5042.

I'm developing a package and I've regularly used the following workflow:

1. Build the package from within RStudio by clicking the "Install & Restart" button (including the --with-keep.source R CMD INSTALL option).
2. Set a breakpoint in the .R file of the function I want to debug.
3. Call the function and wait for the debugger to stop exactly where I set the breakpoint.

This used to work nicely. Now, however, I always get:

Debug location is approximate because the source is not available

This is annyoing because I can still debug, but I'm not in the actual function anymore.

Any hints/ideas why this is?

It seems like this is an issue with RStudio and R 4.0.0. Here is why I think so. I used another machine running Windows 10 and did the following steps (in this order; should be reproducible for Windows users). At the outset I had R 3.6.1 and RStudio 1.2.5042 installed (at the time of writing 1.2.5042 was the current version; tried also with the preview version 1.3.957 of RStudio).

1. Clone the package I'm developing from Github:

   ...

I updated R using installr and asked to copy my library. (Even though I've never had this work, I keep hoping maybe it will someday as the package gets updated.) Opened up RStudio and, as usual, it can't find any of the packages that were in my old library. I next copied all the files from my old library into my new library, and several critical ones still don't work. For example, when I tried to load tidyverse, the message I receive is: Error: package or namespace load failed for ‘tidyverse’: package ‘lazyeval’ was installed by an R version with different internals; it needs to be reinstalled for use with this R version.

I tried remove.packages("tidyverse") and then install.packages("tidyverse", dependencies = TRUE), and I still get the same message about the package lazyeval. I tried installing lazyeval, but then, when I go through those same steps again to try to use tidyverse, now it's lubridate that was installed by an R version with different internals.

How can I avoid this incredibly irritating and time-sucking iterative process of trying to install a package, seeing that the internals are wrong for some dependent package, installing whatever package was the problem, installing the package I actually care about, and then figuring out what other dependencies are problems?