You can present your R markdown content in a form of presentation. If needed, select Custom from the list of the output directories on the R Markdown toolbar and specify an alternative location for the output files.Ĭlick to open the output file in the browser. The R Markdown console reports on the task completion.īy default, all output files are stored in the project root directory. P圜harm creates an HTML file with the same name as the. ![]() You can create an HTML file that includes both the R Markdown source code and the results of its execution. Manage the debugging process with the debugging toolbar. The debugging process stops at a breakpoint and you can preview the current results in the Variables window. Similar to running code chunks, you cannot perform debugging, if any of the variables used in the current chunk have not been initialized. Debug code chunksīefore debugging a particular code chunk, ensure that you have debugged all chunks with its code dependencies. You can debug executable chunks in R Markdown files to detect and fix any errors in them. If needed, click to clear the execution results. You can also switch to the R Console to study variables in-detail. ![]() Preview and evaluate the results of the execution that are rendered below the chunk. For example, the second chunk in the code fragment uses the variable defined in the first chunk.Ĭlick to execute all chunks above the currently selected chunk to make sure that all required variables are initialized.Īt any time you can click to execute all remaining code chunks in the file, or opt to the execution all code chunks at once by clicking. When executing one chunk at a time, mind code dependencies. To execute a code chunk at the caret, click and select Run Chunk, or click on the chunk toolbar. Executes all the code chunks above the current chunk.Įxecutes all the code chunk below the current chunk.
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