R guides to statistics and graphics

Inferential statistics and the graphics calculator

Recent teaching and learning of elementary statistics have been influenced by the use of statistical packages on microcomputers, which have permitted data storage and flexible data analysis. Scientific calculators have routinely provided statistical capabilities for some time, but generally they have been too limited to be used as alternatives to computer statistics packages, at least at the un...

Statistics 36-315: Statistical Graphics and Visualization

3. The “Nighttime Map” produced by the Census Bureau uses dots to depict population density according to the 2000 decennial census. Go to: http://www.census.gov/geo/www/mapGallery/2kpopden.html Suppose the Bureau instead made a histogram map, where each census tract was shaded according to its population density. What information about the U.S. population density would be gained in making this ...

Explorjng Probability and Statistics Using Computer Graphics

Raster Images in R Graphics

Figure 1: A typical statistical plot that is welldescribed by vector elements: polygons, rectangles, lines, and text. However, some displays of data are inherently raster . In other words, what is drawn is simply an array of values, where each value is visualized as a square or rectangular region of colour (see Figure 2). It is possible to draw such raster elements using vector primitives—a sma...

High Interaction Graphics for R

This paper describes the integration of interactive statistical graphics within R using state-of-the art R-connectivity. The iPlots project uses SJava to deliver interactive plots for R and an associated framework for their customization. The graphical part of iPlots is implemented in Java. The design is discussed and some practical examples of iPlots are illustrated.