Various R Programming Tools for Plotting Data
Adjust Color in HSV Space
Add a Axis to a Plot with Rotated Labels
Plot a graphical matrix where each cell contains a dot whose size refl...
Plot x-y Points with Locally Smoothed Mean and Standard Deviation
Enhanced Bar Plots
Produce a Boxplot Annotated with the Number of Observations
Bubble Plot
Create 2-dimensional empirical confidence regions
Convert color names to hex RGB strings
Generate a smoothly varying set of colors
Defunct functions
Deprecated functions
Enhanced Heat Map
Compute and Plot a 2-Dimensional Histogram
Plots to assess the goodness of fit for the linear model objects
Scatter Plot Smoothing
Create an OpenOffice style plot
Plot multiple variables on the same region, with appropriate axes
Plot Error Bars and Confidence Intervals
Plot Group Means and Confidence Intervals
Makes a half or full normal plot for the effects from an aov model
Reorder the Levels of a Factor
Undocumented functions
Rich Color Palettes
Send textual R output to a graphics device
Space points in an x-y plot so they don't overlap.
Display text information in a graphics plot.
Plot a Venn diagram
Compute the Value of a Function Over a Local Region Of An X-Y Plot
Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('bandplot', 'wapply'), - enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2', 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen', 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to 'stats::lowess' function ('lowess'), - displaying textual data in plots ('textplot', 'sinkplot'), - plotting dots whose size reflects the relative magnitude of the elements ('balloonplot', 'bubbleplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data on same region, with separate axes ('overplot'), - plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing points in an x-y plot so they don't overlap ('space').
Useful links