How to specify (non-R) library path for dynamic library loading in R?

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I keep getting the following error when attempting to install readxl or haven in R (both dependencies of tidyverse) post-compilation, when the installer runs the loading test:

** testing if installed package can be loaded
Error in dyn.load(file, DLLpath = DLLpath, ...) :
  unable to load shared object '<my_lib_Path>/readxl/libs/readxl.so':
  <my_lib_path>/readxl/libs/readxl.so: undefined symbol: libiconv
Error loading failed

I have libiconv.so in a local lib path (not for R packages) that is included in LD_LIBRARY_PATH and I've verified in my R session that Sys.getenv("LD_LIBRARY_PATH") has that directory. Why can't R's dynamic library loader find this shared object? Is there a different R-specific environment variable I need to define to have the dynamic library loader in R search my local lib path?

Please note that this is not an issue with an R library path, but instead for a non-R dependency that an R package has. If I were compiling and linking C++ code, gcc would use ld, and hence LD_LIBRARY_PATH to track down dynamic dependencies. R doesn't appear to respect this rather common approach, and I can't seem to find any documentation on how to manage these more fine-grained dependency issues.


Additional Details

!> sessionInfo()
 R version 3.3.3 (2017-03-06)
 Platform: x86_64-pc-linux-gnu (64-bit)
 Running under: CentOS Linux 7 (Core)

 locale:
  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
  [9] LC_ADDRESS=C               LC_TELEPHONE=C
 [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base
 > 

I had previously compiled libiconv because it was a dependency for something else (don't recall what now - likely not an R package given current problems). I tried reinstalling it, but made no difference.


Edit

I have also tried manually loading the library prior to installation:

> dyn.load(".local/lib/libiconv.so")
> is.loaded("libiconv")
[1] TRUE
> install.packages("tidyverse")

but it fails just as above.

5 Answers

I put the export LD_LIBRARY_PATH=... statements into a file ~/.profile. This way, both command line R and RStudio Server are able to find the shared library.

In my case, I was trying to get the Rglpk package to locate the libglpk.so file. According to Stefaan Lippen's blog entry, the .profile file is the preferred location for these type of configurations not strictly related to bash.

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