visual basic 6.0 barcode generator 8: Statistics, Graphing, and Java in Java

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8: Statistics, Graphing, and Java
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The spacing between data is determined by dividing the width of data area by the number of elements, as shown here:
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// Compute the spacing between data. hGap = (winSize.width - left - right) / (data.length-1);
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Next, the current color is set to gridColor, and the X and Y axis and ranges are displayed. The code that accomplishes these tasks is shown here:
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// Set the grid color. g.setColor(gridColor); // Draw the baseline. g.drawLine(left, baseline, left + (data.length-1) * hGap, baseline); // Draw the Y axis. if(graphStyle != BAR) g.drawLine(left, winSize.height-bottom, left, top); // Display the min, max, and 0 values. g.drawString("0", ins.left, baseline+fm.getAscent()/2); if(max != 0) g.drawString("" + max, ins.left, baseline (int) (max*scale) - 4); if(min != 0) g.drawString("" + min, ins.left, baseline (int) (min*scale)+fm.getAscent()); // Display number of values. g.drawString("" + data.length, (data.length-1) * (hGap) + left, baseline + fm.getAscent());
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Notice that the Y axis is not displayed for a bar graph. Also, notice that the maximum range is displayed only if it is not zero, and the minimum range is displayed only if it is not zero. Also notice that the height of a character affects the precise location at which the range of the data is displayed. Finally, the code shown next sets the color to dataColor and calls the appropriate graphing method to actually display the data:
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// Set the data color. g.setColor(dataColor); // Display the data. switch(graphStyle) {
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case BAR: bargraph(g); break; case SCATTER: scatter(g); break; case REGPLOT: regplot(g); break; }
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The bargraph( ) Method
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The bargraph( ) method scales each element in the array referred to by data and then displays a line whose length is proportional to that data. The line is drawn from the baseline. The bargraph( ) method is shown here:
// Display a bar graph. private void bargraph(Graphics g) { int v; for(int i=0; i < data.length; i++) { v = (int) (data[i] * scale); g.drawLine(i*hGap+left, baseline, i*hGap+left, baseline - v); } }
Because so much of the work has already been done by paint( ), there is nothing for bargraph( ) to do other than scale each element using the scaling factor and then draw the line. The line begins at the baseline, which is the X axis. The end point is computed by subtracting the scaled value from the baseline. Remember, the upper-left corner of a window is 0, 0. Thus, smaller Y values are located higher in the window than are larger Y values. Therefore, the value in v is subtracted from baseline. The spacing between bars is specified by hGap. The X location of each bar is found by multiplying the index of the element by the gap and then adding the offset from the left edge (found in left).
The scatter( ) Method
The scatter( ) method works much like bargraph( ) except that it plots points rather than lines. It is shown here:
// Display a scatter graph. private void scatter(Graphics g) {
8: Statistics, Graphing, and Java
int v; for(int i=0; i < data.length; i++) { v = (int) (data[i] * scale); g.drawRect(i*hGap+left, baseline - v, 1, 1); } }
The scatter( ) method scales each element in the array referred to by data and then displays a point at the Y position that is proportional to that data.
The regplot( ) Method
Like scatter( ), the regplot( ) method, shown next, plots a scatter graph. The difference is that it then draws the regression line using the regression data by calling regress( ):
// Display a scatter graph with regression line. private void regplot(Graphics g) { int v; RegData rd = Stats.regress(data); for(int i=0; i < data.length; i++) { v = (int) (data[i] * scale); g.drawRect(i*hGap+left, baseline - v, 1, 1); } // Draw the regression line. g.drawLine(left, baseline - (int) ((rd.a)*scale), hGap*(data.length-1)+left+1, baseline - (int) ((rd.a+(rd.b*(data.length-1)))*scale)); }
Notice how the regression line is drawn. In the call to drawLine( ), the end points of the line are computed based on the value of rd.a and rd.b, which correspond to the Y intercept (a) and slope of the line (b) in the regression equation.
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