Calling R from IML on Linux - error while loading shared libraries

[BjoernHolzhauer]

I am trying to use R from within SAS on my company's Linux (Linux LIN X64) system. I had heard about the IML to R interface and I thought I would try that one and tried the following with SAS 9.4 M2 with SAS/IML 13.2:

PROC OPTIONS OPTION=RLANG; 
RUN;

SAS (r) Proprietary Software Release 9.4 TS1M2

RLANG Enables SAS to execute R language statements.

NOTE: PROCEDURE OPTIONS used (Total process time):

real time 0.00 seconds

cpu time 0.00 seconds

That looks good, right?

%put %sysget(R_HOME);

/CHBS/apps/R/3.0.2

Also good.

PROC IML; 
SUBMIT / R; 
 a <- 2 
 b <- 3 
 c <- a * b 
 paste("c:",c) 
ENDSUBMIT; 
QUIT;

At this point SAS hangs itself up (i.e. neither proceeds to do anything nor terminates) and on the Linux command prompt I get:

/CHBS/apps/dev_apps/SAS/9.4M2/SASFoundation/9.4/utilities/bin/tkrproxy: error while loading shared libraries: libRblas.so: cannot open shared object file: No such file or directory

Any idea what the problem is and whether I can solve it without having admin rights? If this is e.g. an issue with how R is installed and I need to go through our IT department, then I likely need to start looking for other solutions. If that's the case, are there any other suggestions for how to call R within SAS that are reasonably stable and allow me to hand over datasets in either direction (the main think I would be doing)?

[jakarman]

Any problems wiht your It-department?
"If this is e.g. an issue with how R is installed and I need to go through our IT department, then I likely need to start looking for other solutions"

It is the way how data-governance should be done, That is supported by  en involved with your It-department.

[Rick_SAS]

I think you or your IT dept needs to contact SAS Technical Support. It might be that the issue is how the R executable was built from source code. There are known issues about optimization flags that the compiler should/shouldn't use. Many of the compiler issues were resolved in SAS 9.4m3, but I'm sure Tech Support can give helpful advice for your versions of SAS and R.