I am learning how to code in Julia language and for that, I am using VSCode. However, I cannot find how to visualize the equivalent to the "Global Environment" that we have in the upper-right corner in R Studio.
"Global Environment" in the upper-right corner in R Studio:
Is there a way to set this up so I can constantly see the objects (variables) that I create in my code?
Our equivalent to that is the Julia Workspace, which you can focus by pressing Ctrl-Shift-P (might be Cmd on MacOS) to bring up the command palette and then typing in Julia: Focus on Workspace View. Then open a REPL and type in e.g. a = collect(1:10); you should see something like
then.
You already received the response for VSCode.
However, if you are particularly attached to this functionality, until VSCode get a bit more polished, I find the workspace of Juno still better:
Related
Similar to Rstudio, Atom allowed you to run code segments on interactively rather than the entire script all at once. Is there a suitable Julia language IDE that is comparable to rstudio or Atom (juno) and allows for on-the-fly execution of code blocks because Atom is being phased out?
note: Thanks for answers in vs code to obtain interactive feature hold ctrl + return will run code.
Did you try the Microsoft Visual Studio Code ? You can check how to download and setup for Julia notebook in link below.
https://github.com/julia-vscode/julia-vscode#installing-juliavs-codevs-code-julia-extension
The Best, Wr
In Microsoft VS Code you can define code cells using magic comments (## or # %% or #- can play this role - the choice is yours):
##
(your code goes here)
##
A code cell is executed by pressing Alt + Enter while the cursor is inside the cell.
At the code below I pressed Alt + Enter while being in line 10.
The keyboard shortcut can be configured by selecting in the main menu View->Command Palette or pressing Ctrl + Shift + P:
VSCode. The Julia team was working on a Julia IDE called Juno but the website now says "Juno will receive no more feature updates. Development focus has shifted to the Julia extension for VSCode", and VSCode seems to be the recommended way to develop in julia.
The Julia extension for VSCode let's you run code block by just pressing shift+enter and it uses Revise.jl to make interactive sessions better. You can see plots and other outputs right in the editor, and recenty they have even added performance monitoring/benchmarking tools.
However, if you prefer notebook-style workflows, you can use Jupyter with Julia (and the IJulia kernel) but even better imo is Pluto, which is specifically made for Julia and has some nice features such as no hidden state.
I'm a Python beginner and recently came across the Atom editor and the package Hydrogen, that implements the Jupyter notebook. I did so after realizing that running the notebook in Chrome consumed way too many resources and also seemed to be a bit slower.
However, the Atom editor and Hydrogen always output prints within a little frame in the code (see image). Unfortunately, it doesn't use the full window width. I also don't see any console/terminal for installing pip libraries.
Is there a way to have the output in a console below the code, just as in Jupyter, and to have a terminal?
this comes most certainly too late, but in case someone else searches for this:
hit control+shift+P / cmd+shift+P and type "toggle output area".
Super basic question here:
I installed the R-box package in Sublime 3 with no problems.
I changed the path to my R.app in the SublimeREPL.sublime-settings in Sublime, although this should not make a differece on Mac.
I checked in Package Control -> R-Box:Select Program. It's set to R.
I'm simply unable to get Sublime to send code to R. Pressing Cmd+Enter does nothing (actually, it starts a new line on Sublime).
I'm running Sublime 3 on Maverics, and R version 3.2.1. But I had the same problems with Sublime 2 and a previous R version. I'm sure I'm missing something simple but I can't find any more information in the installation page.
Open up an R console by pressing Ctrl+Shift+P and typing REPL R (after a few times you’ll be able to just type R and it will come up). You can open up two windows using (Alt+Shift+2) so you can have your R code on the left and your R console on the right.
As for running the code, once you have called the R console, you have three options: To run the current line or your selected lines, press Ctrl+Shift (release) then l. To run just the selected text, press Ctrl+Shift (release) then s. To run the entire file, press Ctrl+Shift (release) then f.
Actually, I got an answer from the R-box developers, that worked perfectly:
Close Sublime Text 3, then reopen it. Then check that at the bottom right of the window it says R Extended.
If not, you need to set the Syntax on the file:
cmd+shift+P
Set Syntax: R Extended
Is is possible to change the "Control + R" shortcut for sending scripts from the R text editor in the Windows GUI to the R console? I'd like to change it to "Control + Enter" to be more like the shortcut on my Mac. I do all my normal work on a Mac but have to use R on a PC to interface with some PC-only computational software.
Additional tidbits:
I'd rather not run an IDE on the PC if I don't have to, though perhaps this is the solution.
I use Rstudio on my Mac, but Rstudio does not get along with the PC software I'm running
The short answer is:
"No, there are no [built-in] ways to alter the menu shortcuts in the R Console"
I'm however gathering here -community wiki style- some of suggestions posted as remarks to this questions.
One approach may be to download the R source, hack it (see circa line 625 of src/gnuwin32/editor.c: ), and build the R binary anew (see the R for Windows FAQ for the tools you need to build from source). This seems to be a rather radical approach for the mere convenience of using an alternate keystroke sequence...
A similar approach may be to create an automatic patcher program which would patch the R executable, by locating the byte patterns surrounding the compiled logic of editor.c mentioned above and replacing it with a byte sequence for the desired keystroke. This solution may be sensitive to changes in the binaries, but also avoids the build process altogether...
An easier way to achieve this is probably by using an external text editor. Most modern editors have macros or configs that can be used, for example, to execute a source command in R for the selected text.
Customizing keyboard shortcuts is made available in Rstudio 0.99.644.
See https://support.rstudio.com/hc/en-us/articles/206382178-Customizing-Keyboard-Shortcuts for more information.
Is there an easy way to turn of all GUI elements in R and run it solely from the command line on OSX?
I'm trying to replicate the behavior of a remote linux terminal on my OSX machine. Thus plot() should just save a file and things like CRAN mirror selection should be text, not a Tk interface. I'm having trouble finding where to set this behavior.
I had this exact question and wanted a way to do it without changing my existing code. I usually run with graphics support but sometimes I'll run a script on the server for a larger dataset and then I just want the plots to be output somewhere automatically.
In Dirk's answer Ian Fellows gives the simple solution. On the command line in R type:
options(device=pdf)
And then any plots will be written to the current directly to an Rplots.pdf file.
If you want the files to not be plotted at all then use
options(device=NULL)
For the plots you can just direct the output to a file using the pdf() command (or png(), jpeg()...).
I don't own an OS X box, but did you try to unset the X11 environment variable DISPLAY:
DISPLAY="" R --vanilla
When I do that on Linux and query R for capabilties(), x11 comes up as FALSE as desired.
I don't run OSX but you could attempt to run R from the Terminal application, rather than the Mac OSX launcher, and see whether that runs as you need.
As Matti writes, you can send output to files using the following commands; but I don't know if that's really the substance of your question.
png("pngfile.png")
plot(foo)
title(main="bar")
dev.off()
So instead of the quartz graphical object, your output goes to the file.
Similarly, you can output what would normally appear in the terminal to a file.
sink("foo.file")