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public void setReading(int r) { / / Changing sensor value to r m-value = r ;

(S14-11)

(continued)

1)(b 1),ab(n 1).

protected function onTextLoad(event:Event):void { tf.text = URLLoader(event.target).data; img = new Loader(); addChildAt(img, 0); img.load( new URLRequest("http://actionscriptbible.com/files/alice-8.gif")); img.contentLoaderInfo.addEventListener(Event.COMPLETE, onImageLoad); } protected function onImageLoad(event:Event):void { img.x = stage.stageWidth - img.width + 30; img.y = 30; WrapTextUtility.wrapText(tf, img, 2, true); } } } import flash.geom.*; import flash.display.*; import flash.text.*; class WrapTextUtility { private static const KILL_LIMIT:int = 100; private static const GUTTER:int = 2; private static const NEWLINE:String = "\n"; private static const WHITESPACE:RegExp = /[\s\-\_]/; public static function wrapText(tf:TextField, edge:DisplayObject, paddingPx:int = 6, transparentBackground:Boolean = false):void { if (!tf.hitTestObject(edge)) return; var edgeOffset:Point = edge.localToGlobal(new Point()).subtract( tf.localToGlobal(new Point())); var lineY:Number = GUTTER; var bmpSlice:BitmapData = new BitmapData(edge.width, edge.height, true, 0); var i:int = 0; do { try { var lineMetrics:TextLineMetrics = tf.getLineMetrics(i); } catch (err:RangeError) { break; } var lineBaseline:Number = lineY + lineMetrics.ascent; bmpSlice.fillRect(bmpSlice.rect, 0x00000000); var clipRect:Rectangle = new Rectangle(0, lineY - edgeOffset.y, edge.width, lineMetrics.ascent + lineMetrics.descent); lineY += lineMetrics.height; if (clipRect.width <= 0 || clipRect.height <= 0) continue; if (clipRect.y >= edge.height || clipRect.y + clipRect.height <= 0) continue; bmpSlice.draw(edge, null, null, null, clipRect); var colorRect:Rectangle = bmpSlice.getColorBoundsRect(

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14-8

Table S14-3 Analysis of Variance for the Two-Factor Mixed Model (A xed, B random) Source of Variation Rows (A) Columns (B) Interaction Error Total Sum of Squares SSA SSB SSAB SSE SST Degrees of Freedom a 1 b 1 (a 1)(b 1) ab(n 1) abn 1

(arg1:TypeA, arg2:TypeB) Following the function name is the comma-separated list of arguments inside a pair of parentheses. Each argument should be followed by a colon and the data type for the argument. You ll investigate the argument list in more detail shortly. :ReturnType After the parentheses are another colon and the data type of the value the

2 2 2

{...} The block of code that s executed when the function is called is contained within the two curly braces {}. This is known as the function body.

The variance components 2 , 2 , and 2 may be estimated by eliminating the rst equation from Equations S14-8, leaving three equations in three unknowns, whose solution is

All functions require the function keyword, the function name, the parentheses, and the function body. The rest of the parts are not required, but that doesn t mean you shouldn t use them.

2 2

Functions become much more interesting and much more useful when you provide them with some external input. Functions are like machines that follow a well-de ned set of steps. A machine is far more useful when you can give it different kinds of raw materials to operate with. This can be achieved by adding arguments, also known as parameters, to your function de nition. To do this, simply list one or more arguments within the parentheses of a function statement. The names you de ne here will be available in the function body as locally scoped variables that you can use to execute your code. Not all functions will require parameters. Those functions will be invoked with nothing between the parentheses. This function calculates the circumference of a circle:

This general approach can be used to estimate the variance components in any mixed model. After eliminating the mean squares containing xed factors, there will always be a set of equations remaining that can be solved for the variance components. Table S14-3 summarizes the analysis of variance for the two-factor mixed model. Computer Output Some software packages have the capability to handle random factors in the analysis of variance. Table S14-4 is the computer solution to Example S14-1 from Minitab. Notice that the F-tests on the main effects have been constructed using MSAB in the denominator. The results closely match those in Table S14-2. Table S14-5 is the Minitab output for the breaking strength data assuming a mixed model, where operators are xed and machines are random. Minitab allowed us to assume that restricted form of the mixed model [not all software packages make this easy, and some automatically use an unrestricted model, that is, the term g a 1 ( )ij 0 in general]. Notice that i

Table S14-4 Minitab Output for Example S14-1 Analysis of Variance (Balanced Designs) Factor Operator Machine Type random random Levels 3 4 Values A 1 B 2 C 3

function getCircumference(diameter:Number):Number { return Math.PI * diameter; }

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