Jupyter中的R内联图

本文介绍了Jupyter中的R内联图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我试图通过 Binder 项目界面在Jupyter中运行R，尽管问题可能更笼统.例如，该问题可能与长期休眠的问题 a>关于Mac OS上的Jupyter.我通过 conda 添加了r-essentials，r-rzmq和r-repr. IRKernel和IRDisplay是r-essentials的一部分.但是，当我尝试绘制任何东西时，没有输出.确实，似乎没有图形输出选项.我在这里想念什么?在python笔记本中没有问题，但是R没有运气.

I am trying to run R in Jupyter through the Binder project interface, though the question may be more general. For instance it question may be related the long-dormant one about Jupyter on Mac OS. I have the r-essentials, r-rzmq and r-repr added through conda. IRKernel and IRDisplay are part of r-essentials. However, when I try to plot anything, there is no output. Indeed, it looks like there are no graphics output options. What am I missing here? There is no problem in python notebooks, but no luck with R.

capabilities() jpeg FALSE png FALSE tiff FALSE tcltk TRUE X11 FALSE aqua FALSE http/ftp TRUE sockets TRUE libxml TRUE fifo TRUE cledit FALSE iconv TRUE NLS TRUE profmem TRUE cairo FALSE ICU TRUE long.double TRUE libcurl TRUE

推荐答案

好，所以@hrbrmstr指出U. Anaconda'.我可以内联绘图通过使用Dockerfile来工作，并使用apt-get IRKernel安装R根据官方指示通过CRAN:

OK, so as @hrbrmstr points out 'Ugh. Anaconda'. I could get inline plotting to work by using a Dockerfile, and installing R using apt-get IRKernel via CRAN, as per official instructions:

# Set default CRAN repo RUN echo 'options("repos"="cran.rstudio")' > .Rprofile # Install IRkernel RUN Rscript -e "install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))" -e "devtools::install_github('IRkernel/IRkernel')" -e "IRkernel::installspec(user = FALSE)"