DATASPELL FOR R CODE
When editing an R file, you can quickly navigate through your code and jump to a particular variable or function. To preview documentation for a particular package, click its name in the Package column of the Packages tab of the R Tools window. The corresponding reference documentation appears in the Documentation tab of the R Tools window.Īlternatively, you can hover over any code element to preview its documentation in a popup. In the R console, type ? and the code element name, for example, ?barplot. With the R plugin you can quickly preview reference documentation for a particular variable, class, type, or argument. Most of the events that trigger auto-save are predefined and cannot be configured, but you can be sure that changes will not be lost and you can find all of them in local history. Saving files can be also triggered by third-party plugins. Saving is triggered by various events, such as compiling, running, debugging, performing version control operations, closing a file or a project, or quitting the IDE. You can also specify the minimal number of result statements to show the return value hints.ĭataSpell automatically saves changes that you make in your files. Still, you can configure the function syntax to show the implicit NULL result. In some R functions, the return statement can be omitted. You can disable hints or specify more configuration options in the project Settings | Editor | Inlay Hints | R. You can right-click any inlay element and configure this behavior. Place the caret at any function and press Control+P to preview information about its parameters.īy default, DataSpell shows the inlay hints for the R language. Hinting allows you to quickly grasp the structure of the code construct and required types of parameters.
DATASPELL FOR R INSTALL
You can just select the Install all missing packages in file option and DataSpell automatically installs all the packages required for your R script. With the quick fixes for missing import statements you don't need to manually add every single R package to your project. Click the bulb icon or press Alt+Enter to open the list of the fixes. A red bulb with an exclamation mark indicates the problematic code and prompts you to select an associated fix. Quick fixes allow you to resolve a detected problem in one click. In the Settings dialog ( Control+Alt+S), go to Editor | Intentions, and search for the R language.
DATASPELL FOR R FULL
You can view the full list of available intention actions, and disable actions that you do not need.
Intention actions cover a wide range of situations from warnings to optimization suggestions. By clicking this icon, you can view intention actions available in the current context.
DATASPELL FOR R WINDOWS
To quickly add the magrittr pipe function ( %>%) to your R code, press the Ctrl + Shift + M for Windows and Linux or Command + Shift + M for macOS.Ĭode inspections detect fand correct various problems in your R script.Īs soon as the IDE finds a way to improve your code, it displays a yellow bulb icon in the editor next to the current line. To disable it or alter its behavior, clear the Match case checkbox in the project settings ( Settings | Editor | General | Code Completion). Start typing the name of the code construct, and the suggestion list appears.īy default, DataSpell provides case-insensitive code completion. For example, alter the alignment of the assignment operators or comments:Ĭode completion helps you complete the names of classes, functions, and variables. Press Control+Alt+S and go to Editor | Code Style | R, then inspect the settings: Open the code style settings to the preview the default options and modify them according to your preferences. rmd extension ( ).ĭataSpell enables code assistance to facilitate editing and validating R code.Ĭoding style. For a RMarkdown file specify its type: document, notebook, presentation, or Shiny (interactive markdown).Ī new file has the.
In the dialog that opens, type a filename. Right-click the target directory in the Project tool window, and select New from the context menu. Add new R and R Markdown files to the project When you have created and configured an R project in DataSpell, you can start editing the default main.R file.
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