<p>The easiest solution is to install the x86 version of R in your M1/M2 Mac <a href="https://cran.r-project.org/bin/macosx/big-sur-x86_64/base/R-4.3.0-x86_64.pkg" rel="nofollow noreferrer">here</a>.
It will be then emulated by the Rosetta. After that you will have no problems with Bioconductor packages</p>

CC BY-SA 4.0
2023-05-11T14:04:55.103Z
This is a huge pain once one goes down the ARM path for R and libs. I had to revert back when BioC did not support ARM but now, there are other hacks.
Ram RS
CC BY-SA 4.0
2023-05-11T14:13:39.270Z
Yes, I agree it is a pain! However R 4.3 is out for a couple of week, forcing you anyway to start from scratch with the packages' installation, in this situation I think it'll be easier this solution than the various hacks around
flavinsky
CC BY-SA 4.0
2023-05-11T12:14:08.297Z
2023-05-11T12:14:08.297Z
flavinsky
<p>I have an Apple latest arm64 machine. Running the latest R 4.3.0 version. However, I'm unable to install an R package - <code>S4Arrays</code>.</p>
<p><a href="https://i.sstatic.net/X497b.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/X497b.png" alt="enter image description here" /></a></p>
<p>Doesn't look like there is an arm64 build for this package. Anybody know how to resolve it?</p>

CC BY-SA 4.0
2023-05-12T21:16:49.607Z
Can you please paste your error message as text into your question? Images of text are difficult to read, and harder for screen readers to understand.
gringer
<r><bioconductor>
Unable to install an R Bioconductor package on Apple M1/M2
# Unable to install an R Bioconductor package on Apple M1/M2

(Asked by: username_0 on 2023-05-11)

I have an Apple latest arm64 machine. Running the latest R 4.3.0 version. However, I'm unable to install an R package - `S4Arrays`.

[![enter image description here](https://i.sstatic.net/X497b.png)](https://i.sstatic.net/X497b.png)

Doesn't look like there is an arm64 build for this package. Anybody know how to resolve it?

**Tags:** r, bioconductor
> **Comments:**
> **username_1**: Can you please paste your error message as text into your question? Images of text are difficult to read, and harder for screen readers to understand.  

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## 1 answers

### Answer by username_2 on 2023-05-11. Score: 2

The easiest solution is to install the x86 version of R in your M1/M2 Mac [here](https://cran.r-project.org/bin/macosx/big-sur-x86_64/base/R-4.3.0-x86_64.pkg).
It will be then emulated by the Rosetta. After that you will have no problems with Bioconductor packages

> **Comments:**
> **username_3**: This is a huge pain once one goes down the ARM path for R and libs. I had to revert back when BioC did not support ARM but now, there are other hacks.  
> **username_2**: Yes, I agree it is a pain! However R 4.3 is out for a couple of week, forcing you anyway to start from scratch with the packages' installation, in this situation I think it'll be easier this solution than the various hacks around  

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