By Iranmanesh A., Khosravi B., Alavi S.H.
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Additional resources for A Characterization of PSU3(q) for q>5
47 24 92 48 24 93 49 24 120 50 25 85 > As the output from the R command line shows, the cars dataset has 2 columns and 50 rows of data. In the second example, we pass a few additional arguments that provide R with more information on how we want the graph to look. All of these arguments and more are explained in detail in Chapter 3, Beyond the Basics – Adjusting Key Parameters. There's more... plot or help(plot) at the R prompt, after plotting the first dataset with plot(). To see the complete list of available datasets, call the data() function simply by running it at the R prompt: data() See also Scatter plots are covered in a lot more detail in Chapter 4, Creating Scatter Plots.
Arg= sales$City, horiz=TRUE, col="black") How it works... The first argument of the barplot() function is either a vector or matrix of values that you want to plot as bars, such as the sales data variables in our previous examples. R automatically used the product names as the labels and we had to instead specify the city names as the legend. This is a common feature throughout R, and col is used to set the color of the main feature in any kind of graph. There's more... For example, sales[2,3] refers to the value in the second row and third column.
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A Characterization of PSU3(q) for q>5 by Iranmanesh A., Khosravi B., Alavi S.H.