Chapter 1. Introduction to R
Figure 1.1. Steps in a typical data analysis
Figure 1.2. Relationships between income, education, and prestige for blue-collar (bc), white-collar (wc), and professional jobs (prof). Source: car package (scatterplotMatrix function) written by John Fox. Graphs like this are difficult to create in other statistical programming languages but can be created with a line or two of code in R.
Figure 1.3. Example of the R interface on Windows
Figure 1.4. Scatter plot of infant weight (kg) by age (mo)
Figure 1.5. A sample of the graphs created with the demo() function
Figure 1.6. Input with the source() function and output with the sink() function
Figure 1.7. Output from listing 1.3 including (left to right) output from the arthritis example, general help, information on the vcd package, information on the Arthritis dataset, and a graph displaying the relationship between arthritis treatment and outcome
Chapter 2. Creating a dataset
Figure 2.1. R data structures
Figure 2.2. Sources of data that can be imported into R
Figure 2.3. Entering data via the built-in editor on a Windows platform
Figure 2.4. Stat/Transfer’s main dialog on Windows
Chapter 3. Getting started with graphs
Figure 3.1. Creating a graph
Figure 3.2. Line plot of dose vs. response for drug A
Figure 3.3. Line plot of dose vs. response for drug A with modified line type and symbol
Figure 3.4. Plotting symbols specified with the pch parameter
Figure 3.5. Line types specified with the lty parameter