5/7/2023 0 Comments R vs r studio30.1 Thinking about data and visualization.29.5 Be consistent but don’t be repetitive.28.2 Data exploration versus data presentation.28 Choosing the right visualization software.27.2 Lossless and lossy compression of bitmap graphics.27 Understanding the most commonly used image file formats.26.3 Appropriate use of 3D visualizations.23.1 Providing the appropriate amount of context.20.1 Designing legends with redundant coding.19.3 Not designing for color-vision deficiency.19.2 Using non-monotonic color scales to encode data values.19.1 Encoding too much or irrelevant information.18.1 Partial transparency and jittering.17.2 Visualizations along logarithmic axes.16.3 Visualizing the uncertainty of curve fits.16.2 Visualizing the uncertainty of point estimates.16.1 Framing probabilities as frequencies.14.3 Detrending and time-series decomposition.14.2 Showing trends with a defined functional form.13.3 Time series of two or more response variables.13.2 Multiple time series and dose–response curves.13 Visualizing time series and other functions of an independent variable.12 Visualizing associations among two or more quantitative variables.10.4 Visualizing proportions separately as parts of the total.10.3 A case for stacked bars and stacked densities.9.2 Visualizing distributions along the horizontal axis.9.1 Visualizing distributions along the vertical axis.9 Visualizing many distributions at once.8.1 Empirical cumulative distribution functions.8 Visualizing distributions: Empirical cumulative distribution functions and q-q plots.7.2 Visualizing multiple distributions at the same time.7 Visualizing distributions: Histograms and density plots.3.3 Coordinate systems with curved axes.2.2 Scales map data values onto aesthetics.2 Visualizing data: Mapping data onto aesthetics.Thoughts on graphing software and figure-preparation pipelines.If you find a problem or have a feature request with the extension, please find out if there is a current issue you may upvote or otherwise file an issue.Ĭontributions are always welcome! Please see the contributing guide for more details. If you have a question about accomplishing something in general with the extension, please ask on Stack Overflow. Questions, issues, feature requests, and contributions Live share collaboration: Shared workspace, terminal, and viewer in R pair programming. RStudio add-in support: Run supported RStudio add-ins in VS Code with a live R session.įull support of Remote Development via SSH, Containers and WSL. R Markdown support: R Markdown chunk highlighting, chunk navigation, execute commands, and preview. Webpage viewer: Viewing htmlwidgets such as interactive graphics and visual profiling results.īrowser viewer: Viewing interactive shiny apps. Plot viewer: PNG file viewer and SVG plot viewer based on httpgd. Package management: Installing and removing R packages.ĭata viewer: Viewing ame or matrix in a grid or a list structure in a treeview. Help pages viewer: Viewing R help pages and searching help topics. Workspace viewer: Environment pane to show global variables in the attached R session. Keyboard shortcuts: Built-in and customizable keyboard shortcuts. Package development: Build, test, install, load all and other commands from devtools. Interacting with R terminals: Sending code to terminals, running multiple terminals, working with remote servers. R Language Service: Code completion, function signature, symbol highlight, document outline, formatting, definition, diagnostics, references, and more. FeaturesĮxtended syntax highlighting for R, R Markdown, and R Documentation. Go to the installation wiki pages ( Windows | macOS | Linux) for more detailed instructions. Httpgd: An R package to provide a graphics device that asynchronously serves SVG graphics via HTTP and WebSockets. VSCode-R-Debugger: A VS Code extension to support R debugging capabilities. Radian: A modern R console that corrects many limitations of the official R terminal and supports many features such as syntax highlighting and auto-completion. The following software or extensions are recommended to enhance the experience of using R in VS Code: Install the R extension for Visual Studio Code.
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