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Clearly, only the main effect terms are signi cant The t-tests on the individual factor effects indicate that feed rate and depth of cut have large main effects, and there may be some mild interaction between these two factors Therefore, the Minitab output is in agreement with the results given previously Residual Analysis We may obtain the residuals from a 2k design by using the method demonstrated earlier for the 22 design As an example, consider the surface roughness experiment The three largest effects are A, B, and the AB interaction The regression model used to obtain the predicted values is Y.

where x1 represents factor A, x2 represents factor B, and x1 x2 represents the AB interaction. The regression coef cients 1, 2, and 12 are estimated by one-half the corresponding effect estimates, and 0 is the grand average. Thus

var re1:RegExp = /sunken treasure/g; var re2:RegExp = new RegExp("sunken treasure", "g");

11.0625 11.0625

The preceding two lines create identical regular expressions, rst as a literal, and then using the RegExp constructor. Both re1 and re2 are of type RegExp. The literal form of regular expressions is also consistent between ActionScript and other languages: the pattern is written between forward slashes, followed by an optional combination of ags. In some languages the literal form executes the expression, whereas in ActionScript it only declares the expression. I m starting out with a simple regular expression, one that searches for the text sunken treasure in every place that it might appear.

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Note that the regression coef cients are presented by Minitab in the upper panel of Table 14-18. The predicted values would be obtained by substituting the low and high levels of A and B into this equation. To illustrate this, at the treatment combination where A, B, and C are all at the low level, the predicted value is

RegExp objects are built from the regular expression itself, in this case sunken treasure, and zero or more ags indicating how to apply the expression, in this case g, which applies the expression

1.68751 12

globally. You ll learn more about how to construct expressions and what the ags mean in the course of this chapter.

0.81251 12

0.68751 121 12

Before you start building complex expressions, let s nd out how you can apply regular expressions. Once you know how regular expressions can be used, you ll expand your repertoire of regular expression techniques to achieve speci c goals. With an understanding of how they are applied, your knowledge of building them will have more meaning. Earlier, I said that regular expressions can be used to lex and parse textual grammars. That s a high-level application. First you have to ask, what can you do with one regular expression

Since the observed values at this run are 9 and 7, the residuals are 9 9.25 0.25 and 7 9.25 2.25. Residuals for the other 14 runs are obtained similarly. A normal probability plot of the residuals is shown in Fig. 14-20. Since the residuals lie approximately along a straight line, we do not suspect any problem with normality in the data. There are no indications of severe outliers. It would also be helpful to plot the residuals versus the predicted values and against each of the factors A, B, and C.

""'I;

In these applications, you ll see that there are sometimes two ways to conduct the same kind of operation. The String class provides many functions that work with regular expressions, and the RegExp class provides functions that work with strings. Your decision on which to use might be based on functionality that only one of the functions provides, or it might be based on the structure of your code and what you want to achieve. For example, if you were searching a thousand strings for a speci c substring, you might create one RegExp object to nd the substring and call RegExp methods on it, feeding it different Strings in a loop. If you were searching one string for a thousand different substrings, you might create one String object and call String functions on it, feeding it different RegExp objects. As you see sets of functions that do similar things, think about these different cases, and it will become clear which one to use in which case. Rather than list these methods in an arbitrary order, I ll take some time with each kind of task you can achieve with an expression. In some cases, one method can be used for multiple purposes, so I ll show how to use some methods more than once (but in different ways).

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