blocks|key|2336140|text|是。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2336141|对于一个新的R-笔记本，使用此链接.(速记为colab.to/r+)|offset|length|2336142|您可以从IRkernel演示中学习，例如demo.ipynb|2336143|保存一个副本在你的谷歌驱动器，并作出任何改变，你需要。|2336144|另外2次演示：|2336145|Display.ipynb展示了如何显示HTML、图像。|unordered-list-item|2336146|Demo.ipynb展示了如何在R和JavaScript之间进行通信。|2336147|请参阅IRkernel+Github中的详细信息。|2336148|entityMap|0|LINK|mutability|MUTABLE|url|https://colab.research.google.com/notebook#create=true&language=r|1|https://colab.to/r|2|https://colab.fan/IRkernel/IRkernel/example-notebooks/Demo.ipynb|3|https://colab.fan/IRkernel/IRkernel/example-notebooks/Display.ipynb|4|https://colab.fan/IRkernel/IRkernel/example-notebooks/Comm_Demo.ipynb|5|https://github.com/IRkernel/IRkernel^0|0|E|3|0|M|A|1|0|K|A|2|0|0|0|0|D|3|0|0|A|4|0|3|F|5|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@]|9|@$D|1C|E|1D|1|1E]|$D|1F|E|1G|1|1H]]|A|$]]|$1|F|3|G|5|6|7|1I|8|@]|9|@$D|1J|E|1K|1|1L]]|A|$]]|$1|H|3|I|5|6|7|1M|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|1N|8|@]|9|@]|A|$]]|$1|L|3|M|5|N|7|1O|8|@]|9|@$D|1P|E|1Q|1|1R]]|A|$]]|$1|O|3|P|5|N|7|1S|8|@]|9|@$D|1T|E|1U|1|1V]]|A|$]]|$1|Q|3|R|5|6|7|1W|8|@]|9|@$D|1X|E|1Y|1|1Z]]|A|$]]|$1|S|3|-4|5|6|7|20|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z]]|10|$5|V|W|X|A|$Y|11]]|12|$5|V|W|X|A|$Y|13]]|14|$5|V|W|X|A|$Y|15]]|16|$5|V|W|X|A|$Y|17]]|18|$5|V|W|X|A|$Y|19]]]]

Yes.
For a new R-notebook, use <a href="https://colab.research.google.com/notebook#create=true&amp;language=r" rel="noreferrer">this link</a>. (shorthand is <a href="https://colab.to/r" rel="noreferrer">colab.to/r</a> )
You can learn from IRkernel demos, e.g. <a href="https://colab.fan/IRkernel/IRkernel/example-notebooks/Demo.ipynb" rel="noreferrer">demo.ipynb</a>
Save a copy in your Google Drive, and make any changes you need.
2 more demos:
<ul>
<li><a href="https://colab.fan/IRkernel/IRkernel/example-notebooks/Display.ipynb" rel="noreferrer">Display.ipynb</a> shows how to display HTML, images.</li>
<li><a href="https://colab.fan/IRkernel/IRkernel/example-notebooks/Comm_Demo.ipynb" rel="noreferrer">Comm_Demo.ipynb</a> shows how to communicate between R and JavaScript.</li>
</ul>
See more details in <a href="https://github.com/IRkernel/IRkernel" rel="noreferrer">IRkernel Github</a>.

blocks|key|147242|text|如果您想同时使用Python和R，您可以对某些单元使用R魔术。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|147243|#+activate+R+magic
%25load_ext+rpy2.ipython|code-block|syntax|javascript|147244|然后，无论何时您想使用R，都可以使用%25%25R作为单元格的开头|offset|length|style|CODE|147245|%25%25R
x+<-+42
print(x)|147246|关于rpy2文档的更多细节|147247|entityMap|0|LINK|mutability|MUTABLE|url|https://rpy2.github.io/doc/v3.0.x/html/index.html^0|0|0|I|3|0|0|2|6|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Z|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|10|8|@$I|11|J|12|K|L]]|9|@]|A|$]]|$1|M|3|N|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|14|8|@]|9|@$I|15|J|16|1|17]]|A|$]]|$1|Q|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]]]

In case you want to use Python and R together, you can use R magic for some cells.

<pre><code># activate R magic
%load_ext rpy2.ipython
</code></pre>

Then, whenever you want to use R, you begin the cell with <code>%%R</code>

<pre><code>%%R
x &lt;- 42
print(x)
</code></pre>

More details in <a href="https://rpy2.github.io/doc/v3.0.x/html/index.html" rel="noreferrer">rpy2 documentation</a>

blocks|key|979703|text|在浏览器中打开这个链接，创建一个带有R内核的新笔记本|type|unstyled|depth|inlineStyleRanges|entityRanges|data|979704|https://colab.research.google.com/notebook#create=true&language=r|offset|length|979705|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|1T|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@$D|O|E|P|1|Q]]|A|$]]|$1|F|3|-4|5|6|7|R|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|C]]]]

Open this link in your browser to create a new notebook with R Kernel

<a href="https://colab.research.google.com/notebook#create=true&amp;language=r" rel="noreferrer">https://colab.research.google.com/notebook#create=true&amp;language=r</a>

blocks|key|982353|text|更新:这不再起作用了(2020年7月)。|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|982354|以上答案上的链接直接指向R笔记本，在R或python之间有一个选项更改。奇怪的是，谷歌正在像这样改变服务。因此，堆栈溢出并不是一个很好的平台，可以推广盈利/数据销售公司开发的工具。|982355|旧答案：|982356|​|982357|📷|atomic|982358|982359|现在，如果单击菜单栏上的Runtime，然后选择Change+Runtime+Type，则可以在R或Python之间进行选择。|CODE|982360|982361|982362|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/6ed67099aae91215be0ac24040756fae.png|imageAlt|1|https://developer.qcloudimg.com/http-save/yehe-900000/ea0b464414d4447fa74a63a7de427bed.png^0|0|J|0|0|0|4|0|0|0|1|0|0|0|C|7|O|J|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|15|8|@$9|16|A|17|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|18|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|19|8|@$9|1A|A|1B|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1C|8|@]|D|@]|E|$]]|$1|L|3|M|5|N|7|1D|8|@]|D|@$9|1E|A|1F|1|1G]]|E|$]]|$1|O|3|K|5|6|7|1H|8|@]|D|@]|E|$]]|$1|P|3|Q|5|6|7|1I|8|@$9|1J|A|1K|B|R]|$9|1L|A|1M|B|R]]|D|@]|E|$]]|$1|S|3|M|5|N|7|1N|8|@]|D|@$9|1O|A|1P|1|1Q]]|E|$]]|$1|T|3|K|5|6|7|1R|8|@]|D|@]|E|$]]|$1|U|3|-4|5|6|7|1S|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11|12|-4]]|13|$5|X|Y|Z|E|$10|14|12|-4]]]]

Update: this doesn't work anymore (july 2020).
The above link on answers above takes directly to R notebook, there you have an option change between R or python. It is strange that Google is changing services just like this. Hence stackoverflow not a great platform to promote tools created by profit mongering/data-selling companies.
Old answer:
<a href="https://i.stack.imgur.com/dBtxB.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/dBtxB.png" alt="enter image description here" /></a>
As of now if you click at <code>Runtime</code> on menu bar then choose <code>Change Runtime Type</code>, you can choose between R or Python.
<a href="https://i.stack.imgur.com/R2WgR.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/R2WgR.png" alt="Changing runtime in Colab" /></a>

blocks|key|2336258|text|为了扩展前面的答案，下面是如何在R内核和Python内核之间移动数据，以便在同一个笔记本中使用这两种数据(例如，如果您想用Pandas加载数据，使用R包处理数据，然后用Bokeh绘制数据)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2336259|#+Pandas+dataframe+to+R+data+frame
!pip3+install+rpy2
%25load_ext+rpy2.ipython
%25R+-i+df|code-block|syntax|javascript|2336260|#+R+data+frame+to+Pandas+dataframe
%25R+seq.data+<-+read.delim('sequence.index',+header=TRUE,+stringsAsFactors=FALSE)
seq_data+=+%25R+seq.data|2336261|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|D|7|M|8|@]|9|@]|A|$E|F]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

To expand on a previous answer, here's how you can move dataframes between the R and Python kernels so you can work with both in the same notebook (for example, if you want to load data in with Pandas, process it with an R package, and then plot it with Bokeh).
<pre><code># Pandas dataframe to R data frame
!pip3 install rpy2
%load_ext rpy2.ipython
%R -i df
</code></pre>
<pre><code># R data frame to Pandas dataframe
%R seq.data &lt;- read.delim('sequence.index', header=TRUE, stringsAsFactors=FALSE)
seq_data = %R seq.data
</code></pre>

blocks|key|147376|text|*截至2020年11月13日星期五工作|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|147377|去这个网址https://colab.to/r，同时签署到实验室，这应该会做到这一点。|147378|您可以检查运行时->中的R是否更改了运行时类型，但应该已经设置了。|147379|​|147380|📷|atomic|147381|147382|挂载google驱动器：|147383|install.packages("googledrive")
library("googledrive")

if+(file.exists("/usr/local/lib/python3.6/dist-packages/google/colab/_ipython.py")){+
++install.packages("R.utils")
++library("R.utils")
++library("httr")
++my_check+<-+function()+{return(TRUE)}
++reassignInPackage("is_interactive",+pkgName+=+"httr",+my_check)
++options(rlang_interactive=TRUE)
}++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++|code-block|syntax|javascript|147384|和认证google驱动器|147385|drive_auth(use_oob+=+TRUE,+cache+=+TRUE)|147386|entityMap|0|LINK|mutability|MUTABLE|url|https://colab.to/r|1|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/e891cabaa6adf33e3c9a8ea1484d28f8.png|imageAlt^0|1|I|0|0|17|5|I|0|0|0|X|0|0|1|0|0|1|0|1|1|0|0|1|0|0|C|0|0|C4|0|0|C|0|0|14|0^^$0|@$1|2|3|4|5|6|7|1E|8|@$9|1F|A|1G|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1H|8|@$9|1I|A|1J|B|C]]|D|@$9|1K|A|1L|1|1M]]|E|$]]|$1|H|3|I|5|6|7|1N|8|@$9|1O|A|1P|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1Q|8|@$9|1R|A|1S|B|C]]|D|@]|E|$]]|$1|L|3|M|5|N|7|1T|8|@$9|1U|A|1V|B|C]]|D|@$9|1W|A|1X|1|1Y]]|E|$]]|$1|O|3|K|5|6|7|1Z|8|@$9|20|A|21|B|C]]|D|@]|E|$]]|$1|P|3|Q|5|6|7|22|8|@$9|23|A|24|B|C]]|D|@]|E|$]]|$1|R|3|S|5|T|7|25|8|@$9|26|A|27|B|C]]|D|@]|E|$U|V]]|$1|W|3|X|5|6|7|28|8|@$9|29|A|2A|B|C]]|D|@]|E|$]]|$1|Y|3|Z|5|T|7|2B|8|@$9|2C|A|2D|B|C]]|D|@]|E|$U|V]]|$1|10|3|-4|5|6|7|2E|8|@]|D|@]|E|$]]]|11|$12|$5|13|14|15|E|$16|17]]|18|$5|19|14|1A|E|$1B|1C|1D|-4]]]]

*****Working as of Friday 13th November 2020
Go this URL <a href="https://colab.to/r" rel="noreferrer">https://colab.to/r</a> whilst signed into colab and that should do it.
You can check if R in Runtime -&gt; Change runtime type, but it should already be setup.
<a href="https://i.stack.imgur.com/I01TH.png" rel="noreferrer"><img src="https://i.stack.imgur.com/I01TH.png" alt="enter image description here" /></a>
To mount google drive:
<pre><code>install.packages(&quot;googledrive&quot;)
library(&quot;googledrive&quot;)

if (file.exists(&quot;/usr/local/lib/python3.6/dist-packages/google/colab/_ipython.py&quot;)){ 
 install.packages(&quot;R.utils&quot;)
 library(&quot;R.utils&quot;)
 library(&quot;httr&quot;)
 my_check &lt;- function() {return(TRUE)}
 reassignInPackage(&quot;is_interactive&quot;, pkgName = &quot;httr&quot;, my_check)
 options(rlang_interactive=TRUE)
} 
</code></pre>
And authenticate google drive
<pre><code>drive_auth(use_oob = TRUE, cache = TRUE)
</code></pre>

blocks|key|982404|text|另一种快速的方法是将colab标题中的postix，.ipynb替换为.r|type|unstyled|depth|inlineStyleRanges|entityRanges|data|982405|示例:将Untitled.ipynb的名称更改为Untitled.r，一切都很完美！|982406|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Another quick way is to replace postix, .ipynb in colab title to .r 
Example: change name of Untitled.ipynb to Untitled.r, and everything works perfectly!

Google Colaboratory supports Python version 2.7 and 3.6
I saw an example how to use Swift in Colab a while ago.
Today, I happened to run
<pre><code>!jupyter-kernelspec list
</code></pre>
And found a new kernel: IRkernel
<pre><code>Available kernels:
 ir /usr/local/share/jupyter/kernels/ir
 python2 /usr/local/share/jupyter/kernels/python2
 python3 /usr/local/share/jupyter/kernels/python3
 swift /usr/local/share/jupyter/kernels/swift
</code></pre>
Is it now possible to use R in Colab as well? No hassle in installing R kernel?

How to use R with Google Colaboratory?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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支持PythonVersion2.7和3.6不久前，我在Colab看到了一个如何使用Swift的例子。今天，我碰巧跑了!jupyter-kernelspec list并找到了一个新内核: IRkernelAvailable kernels:  ir         /usr/local/share/jupyter/ke...

问如何使用R与谷歌竞争？
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