On 23 Feb 2016, at 22:48 , Kevin Ushey <kevinushey at gmail.com> wrote:
Are you able to locate a version of libcurl using mdfind, e.g. what
does this print:
mdfind libcurl.4.dylib
You might also try installing homebrew curl (brew install curl) if you
haven't already.
Kevin
On Tue, Feb 23, 2016 at 1:39 PM, peter dalgaard <pdalgd at gmail.com> wrote:
In general, homebrewers get to drink their own booze. (i.e., we don't support it.)
However, for R itself, it is necessary for me to set CURL_CONFIG in order not to pick up the curl-config from MacPorts. You might want to check if you are running into the same issue in reverse.
-pd
On 15 Feb 2016, at 18:33 , dkelley at broadinstitute.org wrote:
Same exact problem here.
On Wednesday, February 10, 2016 at 11:31:54 PM UTC-5, M. Henry Linder wrote:
Hello all
I have R 3.1.0 installed on my computer, and at some point in the past had successfully installed RCurl (1.95-4.3). However, I am now unable to update RCurl, and in spite of my best efforts at googling, I can?t seem to get things working.
The error I receive is
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/usr/local/Cellar/r/3.1.0/R.framework/Versions/3.1/Resources/library/RCurl/libs/RCurl.so':
dlopen(/usr/local/Cellar/r/3.1.0/R.framework/Versions/3.1/Resources/library/RCurl/libs/RCurl.so, 6): Library not loaded: libcurl.4.dylib
Referenced from: /usr/local/Cellar/r/3.1.0/R.framework/Versions/3.1/Resources/library/RCurl/libs/RCurl.so
Reason: image not found
It seems likely that R is looking to the system curl:
$ which curl
/usr/bin/curl
$ curl --version
curl 7.37.1 (x86_64-apple-darwin14.0) libcurl/7.37.1 SecureTransport zlib/1.2.5
Protocols: dict file ftp ftps gopher http https imap imaps ldap ldaps pop3 pop3s rtsp smtp smtps telnet tftp
Features: AsynchDNS GSS-Negotiate IPv6 Largefile NTLM NTLM_WB SSL libz
I have tried installing curl from Homebrew (version 7.42.1) and setting LDFLAGS and CPPFLAGS (and LIBCURL_CFLAGS and LIBCURL_LIBS) to point to this version of curl, to no avail.
I?m unsure if there is a way to set these build flags from within R; is that a possible fix? Thank you for any advice you can offer!
Best
Henry
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