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Descriptive Exploratory Data Analysis II Jagdish S. Gangolly State University of New York at Albany.

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Presentation on theme: "Descriptive Exploratory Data Analysis II Jagdish S. Gangolly State University of New York at Albany."— Presentation transcript:

1 Descriptive Exploratory Data Analysis II Jagdish S. Gangolly State University of New York at Albany

2 Data Manipulation: –Matrices: bind rows ( rbind ), bind columns ( cbind ) –Arrays: rowMeans, colMeans, rowSums, colSums, rowVars, colVars,… –apply(data, dim, function,…) –attach( framename ): permits you to refer to variables without cumbersome notations. You can detach the frame when done. –function (x) { function definition } : To define your own functions –rm( comma-separated S-Plus objects ) : To remove objects

3 S-Plus Graphics motif( ) : To open a graphics window. Each time you invoke this, a new graphics window is opened. dev.off() : Close the most recent graphics device opened. graphics.off() : Close all graphics devices. plot( comma-separated variables, plot character )

4 Trellis Graphics I A matrix of graphs Example: >par(mfrow=c(2,2)) # 2 X 2 matrix of figures >x <- 1:100/100:1 >plot(x) # plot cell (1,1) >plot(x, type=“l”) # plot cell (1,2) line >hist(x) # plot cell (2,1) histogram >boxplot(x) # plot cell (2,2) boxplot

5 Trellis Graphics II Syntax: Dependent variable ~ explanatory variable |conditioning variable Data set Output: >trellis.device(motif) >dev.off() or >graphics.off()


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