[R-SIG-Mac] r-sig-mac maybe from r-project.org - "You can’t open the application “R” because this application is not supported on this Mac"

[Duncan Murdoch]

On 17/07/2021 3:39 a.m., Lindsay Foreman wrote:
> To whom it may concern,
> 
> I am so sorry for being such a dunce.  I have been trying and trying to get the R App to work on my MacBook Air running Big Sur V11.4, and am just not making any progress.  It says that the package I have downloaded below should have all the elements I need including the R app GUI.  I get this error message "You can’t open the application “R” because this application is not supported on this Mac"., are you able to help please?

Is that an Intel or M1 MacBook?  If it's an Intel one, you don't want 
the arm64 download, you want

https://cran.r-project.org/bin/macosx/base/R-4.1.0.pkg

It is listed on the web site as "High Sierra and higher", so it should 
work on Big Sur, but only if you have an Intel chip.

Duncan Murdoch

> 
> Your support is much appreciated.
> Lindsay Foreman
> 
> R-4.1.0-arm64.pkg <https://cran.r-project.org/bin/macosx/big-sur-arm64/base/R-4.1.0-arm64.pkg> (notarized and signed)
> SHA1-hash: 7354c1b249cab9bafea6ae67c73563303a05fa17
> (ca. 88MB)	R 4.1.0 binary for macOS 11 (Big Sur) and higher, Apple silicon arm64 build, signed and notarized package.
> Contains R 4.1.0 framework, R.app GUI 1.76 for Apple silicon Macs (M1 and higher), Tcl/Tk 8.6.11 X11 libraries and Texinfo 6.7.
> Important: this version does NOT work on older Intel-based Macs.
> The above installer package will be misidentified by Apple Installer as Intel architecture although it contains no Intel code. This means you may be asked to install Rosetta 2 even though it is not required. This issue has been fixed in the packaging for future R versions, so if you don't want to install Rosetta 2 please use R-4.1-branch big-sur arm64 installer from mac.R-project.org <https://mac.r-project.org/>.
> Note: the use of X11 (including tcltk) requires XQuartz <http://xquartz.macosforge.org/>. Always re-install XQuartz when upgrading your macOS to a new major version.
> 
> This release uses Xcode 12.4 and experimental GNU Fortran 11 arm64 fork. If you wish to compile R packages from sources, you may need to download GNU Fortran for arm64 from https://mac.R-project.org/libs-arm64 <https://mac.r-project.org/libs-arm64/>. Any external libraries and tools are expected to live in /opt/R/arm64 to not conflict with Intel-based software and this build will not use /usr/local to avoid such conflicts.
> 
> 
> 
> 
> 
>> On 13 Jul 2021, at 16:32, Dr. Alessio Pruneddu <info using qsortouch.com> wrote:
>>
>> Hi Lindsay,
>>
>> Thanks a lot for your kind words. I am sorry to hear R is giving you troubles with Mac. I know for a fact that this might be the case with very new version of any mac. If you cannot access any standard Windows PC or laptop, try to download R studio, and in any case, check the compatibility requirements of the software (R and/or R studio) before you download it, so that you will not have any surprises.
>>
>> I hope it helps!!
>>
>> Alessio.
>>
>> Il giorno mar 13 lug 2021 alle ore 07:54 Lindsay Foreman <19038432 using brookes.ac.uk <mailto:19038432 using brookes.ac.uk>> ha scritto:
>> Thank you again for your time and dedication Alessio, I cannot thank you enough.  The thought of doing this in isolation, without you or the Q gang for support is a terrifying one!
>>
>> I have to confess how out of my comfort zone I feel, with the data, the statistics and the code.  I have tried several time to install the R software from https://cran.r-project.org/ <https://cran.r-project.org/>, but no matter which one I select and download, when I try and open it I just an error message "You can’t open the application “R” because this application is not supported on this Mac.” I have read the FAQ’s but no joy and I cannot seem to find where I ask for help.  I know you said this is out of your remit, but any pointers you are able to give to help resolve this would be much appreciated.  As you say, we will get there, I am just in the midst of a painful part of the process where I feel completely out of my depth!
>>
>> Hopefully I can be a trailblazer for Leo and Elizabeth so that when they are at this stage I can offer some support and guidance.
>> Onwards and upwards,
>> Lindsay
>>
>>
>>> On 10 Jul 2021, at 12:02, Dr. Alessio Pruneddu <info using qsortouch.com <mailto:info using qsortouch.com>> wrote:
>>>
>>> Dear members of the Q squad,
>>>
>>> I cannot stress enough how much I am happy to have a chat with you. I just thought you would appreciate a few details after yesterday's video chat. Please see my comments below;
>>>
>>>
>>> Lindsay.
>>>
>>> Huge apologies for yesterday!. I still hope I was able to give you a flavour of what you can expect from the data analysis in R. In your case, I would recommend performing the data analysis using the code. Please find attached the code specifically related to your study. You will find out a slightly more sophisticated line, as you have to instruct the software about the free distribution in your sample. However, the sophistication is only apparent; the analysis is giving you the same outputs, and obviously their interpretation does not change. If you need to work on the plot generated by qmethod, feel free to drop me a line, we will do this.
>>>
>>> Useful links:
>>>
>>> General code page <https://cran.r-project.org/web/packages/qmethod/qmethod.pdf>
>>> Source code for free distribution. <https://cran.r-project.org/web/packages/qmethod/qmethod.pdf>
>>>
>>>
>>> Elisabeth.
>>>
>>> Great to see you again! I understand you need to start data collection, plus you already proved you are a pro in Q-emthodology anyway. Thanks a lot for yesterday and your prompt help. Feel free to drop me a line if I have left some questions unanswered!.
>>>
>>>
>>> Leoni.
>>>
>>> Thank you so much for joining us yesterday! I understand you are at a preliminary stage in your project, therefore, I am sure we will have another moment to chat, if you think it could be of any help. As I briefly discussed yesterday, there are some concepts and choices while performing an inverted factor analysis that require some background. Needless to say, feel free to start a conversation at any time if you have any question, I am not an expert statistician, but I know about factor analysis and the differences between the standard and the inverted one. One book I have found useful for classic factor analysis was the one from Paul Kline, An Easy Guide to Factor Analysis, From Taylor and Francis. https://doi.org/10.4324/9781315788135 <https://doi.org/10.4324/9781315788135>.
>>> However, there is plenty of literature on the topic, and I am sure at Brooks there is a lot to choose from, maybe closely related to your field. As I mentioned on the call, it would be great to get a basic understanding of what a factor analysis is, what the most popular methods are, and how you can rotate a factor, because those details are in fact almost identical in standard and inverted factor analysis.
>>>
>>> I hope this helps, I apologise for this long email, I just thought it would be useful to send a general message, despite the diversity of your projects and the different stages you are in.
>>>
>>> All the best, and have a great weekend!
>>>
>>> Alessio.
>>>   
>>> -- 
>>> Dr. Alessio Pruneddu
>>> Research consultant, 0044(0)7578852341
>>>
>>>
>>> info using qsortouch.com <mailto:info using qsortouch.com>
>>> www.qsortouch.com <http://www.qsortware.com/>
>>> <R code for Lindsay.txt>
>>
>>
>>
>> -- 
>> Dr. Alessio Pruneddu
>> Research consultant, 0044(0)7578852341
>>
>>
>> info using qsortouch.com <mailto:info using qsortouch.com>
>> www.qsortouch.com <http://www.qsortware.com/>
> 
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