With the holiday season coming, the R plugin introduces more code assistance and runtime capabilities, UX features, and stability improvements. Try them with the brand new 2020.3 releases of JetBrains IDEs. Use run/debug configurations to manage the way the IDE executes your R code.You can define the command-line arguments of the R script to be executed, the options of the R interpreter, or environmental variables. Configure once and run your script with the same predefined parameters. With the modified R interpreter selector, you can switch between various interpreters and quickly crea

Over more than one and a half months, we introduced many improvements in the plugin to make your work with it more productive and comfortable. New UI capabilities for managing R interpreters You can easily switch between R interpreters, or create new ones with the R interpreter selector that is located in the IDE Status Bar.Also, we modified the remote interpreter configuration: in addition to the host and interpreter path, you can specify the working directory on the remote server. Better code assistance for R With this release, R plugin provides additional support for code in

It has been a long time since our previous update. This release of the R plugin comes with enhancements and stability improvements as well as with the new features for remote work. Also, in this release, we discontinue supporting R 3.3. R plugin introduces the new type of the R interpreters, so that you can execute your R scripts remotely. Consider a task when you write your R code on one machine and need to execute it on another. Press Ctrl+Alt+S (Windows and Linux) or Cmd + , (on macOS) and go to the Settings/Preferences | Project | R Settings. Click and select Add remote. Sel

R plugin is announcing some helpful features to track execution of your R code: 1. Execute your R file as a runnable process, job. Jobs are shown in a separate tab in the R console. You can preview the job status (succeeded or failed), the duration of the execution, and the time you launched the job. When starting a new job, you can specify the way you want to process the results of the job execution. You can restrict copying it, copy to the global environment, or copy it into a separate variable. To preview the results, switch to the Variables pane: 2. Try new ways to quickly

Although it has not been a while since our last update release, we’re ready to announce some important enhancements and new features: Long-awaited support of R 4.0.0 . Download it and try with the R plugin for PyCharm. In response to your feedback, we improved user interface and workflows for exporting generated plots into the portable network graphics (.png).  Just pull the lower-right corner of the plot to adjust its size. There are more helpful options to keep up the image quality. You can also enable opening the exported image right after clicking the Save button. Want to ha

We’re releasing a new update of the R Plugin for PyCharm and other IntelliJ-based IDEs. If you haven’t tried the plugin yet, download it from our website. The plugin is available for 2019.3 versions of IDEs and for EAP builds of 2020.1. The latest update comes with many stability improvements and long-awaited features: 1. You want your publications to look good, we now make it easy to get your graphs in exactly the size you need. When you execute any code chunk that plots the graph, just click in the Plots tab and you’ll be able to export it in the portable network graphics (.png).