Import Dataset Error

[sarah4]

Hello I recently installed rstudio for a class. During class we were supposed to import a dataset from SPSS. When I click "Import Dataset" I get the error message below. I have restarted Rstudio, and uninstalled and reinstalled Rstudio. It gives me this messaged no matter where I try to import from (SPSS, excel, SAS, and Strata).

"unable to load shared object '/Library/Frameworks/R.framework/Versions/Resources/library/Rcpp/libs.so':
dlopen(/Library/Frameworks/R.framework/Versions/4.0/Resources/library/Rcpp/libs/Rcpp.so, 6): Symbol not found: _EXTPTR_PTR
Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/Rcpp/libs/Rcpp.so
Expected in: /Library/Frameworks/R.framework/Resources/lib/libR.dylib
in /Library/Frameworks/R.framework/Versions/4.0/Resources/library/Rcpp/libs/Rcpp.so"

[technocrat]

install.packages("Rcpp")

[sarah4]

I just did this and I got the same error code when I tried to import a dataset.

[technocrat]

You're on macOS. "Where" did you do install.packages()"? And did you get a message "binary version is available but source version is later" and choose y`?

[sarah4]

@technocrat

install.packages("Rcpp")

I installed it via the console in Rstudio. This is what it said:

install.packages("Rcpp")
trying URL 'https://cran.rstudio.com/bin/macosx/contrib/4.0/Rcpp_1.0.5.tgz'
Content type 'application/x-gzip' length 3215939 bytes (3.1 MB)
==================================================
downloaded 3.1 MB

The downloaded binary packages are in
/var/folders/7s/9htfd9nj1b113mth785jf9qw0000gp/T//RtmpcQ5HCN/downloaded_packages

[technocrat]

OK. does

library(cpp) # so in this OP, should be Rcpp

from the console do nothing (desired)?

[sarah4]

@technocrat

library(cpp)

This is what happened when I did that. I am new to R so I am not sure what all of this means.

Loading required package: ineq
Loading required package: kappalab
Loading required package: lpSolve
Loading required package: quadprog
Loading required package: kernlab

Attaching package: ‘kappalab’

The following object is masked from ‘package:ineq’:

entropy

Loading required package: mc2d
Loading required package: mvtnorm

Attaching package: ‘mc2d’

The following objects are masked from ‘package:base’:

pmax, pmin

Warning messages:
1: package ‘CPP’ was built under R version 4.0.2
2: package ‘ineq’ was built under R version 4.0.2
3: package ‘kappalab’ was built under R version 4.0.2
4: package ‘lpSolve’ was built under R version 4.0.2
5: package ‘quadprog’ was built under R version 4.0.2
6: package ‘kernlab’ was built under R version 4.0.2
7: package ‘mc2d’ was built under R version 4.0.2
8: package ‘mvtnorm’ was built under R version 4.0.2

[technocrat]

That's good. The warnings are just that, meaning you will want to be at R version 4.02 at some point. Let's go back to the top. Does import now work?

[sarah4]

No I am still getting the same error message. I installed AFNI through my terminal (my mac terminal, not the terminal in Rstudio) and it had me install some packages for R and now I am nervous I did something to mess it up instead. Could that be what is causing the issue?

[technocrat]

I apologize! I meant

install.packages("Rcpp")

[sarah4]

Yes I did that, but I am still getting the same error message.

[technocrat]

It shouldn't cause problems. For most purposes the mac and RStudio terminals are identical.

[technocrat]

Ok, since you know how to use terminal let's try something in it to fix the problem. $ is the mac prompt, not something to enter.

roc@:~$ sudo R
[sudo] password for roc: 

The password is your mac login password.

This will open an R session with a > prompt

> install.packages("RCpp", repos = "http://cran.rstudio.com")

Let me know.

[sarah4]

I did that and that didn't help. But, I uninstalled Rstudio and installed the 4.0.2 version for macOS and that seemed to fix the problem. Maybe I did not have the correct version for my mac. Thank you very much for all of your help!

[technocrat]

Great. It pays to stay up-to-date within a couple of versions of R and RStudio. It's also good practice to regularly run update.packages()