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by Felipe
02:53
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docs/examples_histogram/ex_histogram_printer.php 2 patches
Indentation   +5 added lines, -5 removed lines patch added patch discarded remove patch 
@@ -4,10 +4,10 @@  discard block
 
 block discarded – undo
4 4
5 5 
 // create a boring array
6 6 
 $vals = array(
7 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
10 
-		);
7 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
10 
+        );
11 11
12 12 
 // create an instance
13 13 
 $h = new \PEAR\Histogram\Histogram();
 
@@ -28,7 +28,7 @@  discard block
 
 block discarded – undo
28 28 
 // let us read a bigger data set:
29 29 
 $data = array();
30 30 
 foreach(file("ex_histogram.data") as $item) {
31 
-	$data[] = floatval(trim($item));
31 
+    $data[] = floatval(trim($item));
32 32 
 }
33 33
34 34 
 // let's do a simple histogram
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Spacing   +6 added lines, -6 removed lines patch added patch discarded remove patch 
@@ -1,12 +1,12 @@  discard block
 
 block discarded – undo
1 1 
 <?php
2 2
3 
-require_once __DIR__ . '/../../vendor/autoload.php';;
3 
+require_once __DIR__.'/../../vendor/autoload.php'; ;
4 4
5 5 
 // create a boring array
6 6 
 $vals = array(
7 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
7 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2,
8 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2,
9 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2
10 10 
 		);
11 11
12 12 
 // create an instance 
@@ -27,14 +27,14 @@  discard block
 
 block discarded – undo
27 27
28 28 
 // let us read a bigger data set:
29 29 
 $data = array();
30 
-foreach(file("ex_histogram.data") as $item) {
30 
+foreach (file("ex_histogram.data") as $item) {
31 31 
 	$data[] = floatval(trim($item));
32 32 
 }
33 33
34 34 
 // let's do a simple histogram
35 35 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_SIMPLE);
36 36 
 // and set new bin options
37 
-$h->setBinOptions(20,1.7,2.7);
37 
+$h->setBinOptions(20, 1.7, 2.7);
38 38 
 // then set a the big data set
39 39 
 $h->setData($data);
40 40 
 // and calculate using full stats
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docs/examples_histogram/ex_histogram3d.php 2 patches
Indentation   +8 added lines, -8 removed lines patch added patch discarded remove patch 
@@ -4,8 +4,8 @@  discard block
 
 block discarded – undo
4 4
5 5 
 // let's generate some values;
6 6 
 for ($i=0; $i < 100; $i++) {
7 
-	$a['x'][$i] = rand(-1,6);
8 
-	$a['y'][$i] = rand(-1,6);
7 
+    $a['x'][$i] = rand(-1,6);
8 
+    $a['y'][$i] = rand(-1,6);
9 9 
 }
10 10
11 11 
 $h = new \PEAR\Histogram\Histogram3D();
 
@@ -18,12 +18,12 @@  discard block
 
 block discarded – undo
18 18
19 19 
 // now, let's change the options a wee bit
20 20 
 $h->setBinOptions(
21 
-	array(
22 
-		'low' => array( 'x' => 0, 'y' => 0),
23 
-		'high' => array( 'x' => 5, 'y' => 5),
24 
-		'nbins' => array( 'x' => 5, 'y' => 5)
25 
-		)
26 
-	);
21 
+    array(
22 
+        'low' => array( 'x' => 0, 'y' => 0),
23 
+        'high' => array( 'x' => 5, 'y' => 5),
24 
+        'nbins' => array( 'x' => 5, 'y' => 5)
25 
+        )
26 
+    );
27 27 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_CUMMULATIVE);
28 28 
 $h->calculate();
29 29 
 // and print the whole histogram info, not the different
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Spacing   +7 added lines, -7 removed lines patch added patch discarded remove patch 
@@ -1,11 +1,11 @@  discard block
 
 block discarded – undo
1 1 
 <?php
2 2
3 
-require_once __DIR__ . '/../../vendor/autoload.php';
3 
+require_once __DIR__.'/../../vendor/autoload.php';
4 4
5 5 
 // let's generate some values;
6 
-for ($i=0; $i < 100; $i++) {
7 
-	$a['x'][$i] = rand(-1,6);
8 
-	$a['y'][$i] = rand(-1,6);
6 
+for ($i = 0; $i < 100; $i++) {
7 
+	$a['x'][$i] = rand(-1, 6);
8 
+	$a['y'][$i] = rand(-1, 6);
9 9 
 }
10 10
11 11 
 $h = new \PEAR\Histogram\Histogram3D();
 
@@ -19,9 +19,9 @@  discard block
 
 block discarded – undo
19 19 
 // now, let's change the options a wee bit
20 20 
 $h->setBinOptions(
21 21 
 	array(
22 
-		'low' => array( 'x' => 0, 'y' => 0),
23 
-		'high' => array( 'x' => 5, 'y' => 5),
24 
-		'nbins' => array( 'x' => 5, 'y' => 5)
22 
+		'low' => array('x' => 0, 'y' => 0),
23 
+		'high' => array('x' => 5, 'y' => 5),
24 
+		'nbins' => array('x' => 5, 'y' => 5)
25 25 
 		)
26 26 
 	);
27 27 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_CUMMULATIVE);
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docs/examples_histogram/ex_histogram4d.php 2 patches
Indentation   +9 added lines, -9 removed lines patch added patch discarded remove patch 
@@ -4,21 +4,21 @@
 
 block discarded – undo
4 4
5 5 
 // let's generate some data
6 6 
 for ($i=0; $i < 100; $i++) {
7 
-	$a['x'][$i] = rand(0,4);
8 
-	$a['y'][$i] = rand(0,4);
9 
-	$a['z'][$i] = rand(0,4);
7 
+    $a['x'][$i] = rand(0,4);
8 
+    $a['y'][$i] = rand(0,4);
9 
+    $a['z'][$i] = rand(0,4);
10 10 
 }
11 11
12 12 
 // and create a histogram from the data
13 13 
 // with specific options
14 14 
 $h = new \PEAR\Histogram\Histogram4D();
15 15 
 $h->setBinOptions(
16 
-	array(
17 
-		'low' => array( 'x' => 0, 'y' => 0, 'z'=>0),
18 
-		'high' => array( 'x' => 4.0, 'y' => 4.0, 'z'=>4.0),
19 
-		'nbins' => array( 'x' => 4, 'y' => 4, 'z'=>4)
20 
-		)
21 
-	);
16 
+    array(
17 
+        'low' => array( 'x' => 0, 'y' => 0, 'z'=>0),
18 
+        'high' => array( 'x' => 4.0, 'y' => 4.0, 'z'=>4.0),
19 
+        'nbins' => array( 'x' => 4, 'y' => 4, 'z'=>4)
20 
+        )
21 
+    );
22 22 
 $h->setData($a);
23 23 
 $h->calculate();
24 24 
 // now we print out a comma separated set
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Spacing   +8 added lines, -8 removed lines patch added patch discarded remove patch 
@@ -1,12 +1,12 @@  discard block
 
 block discarded – undo
1 1 
 <?php
2 2
3 
-require_once __DIR__ . '/../../vendor/autoload.php';
3 
+require_once __DIR__.'/../../vendor/autoload.php';
4 4
5 5 
 // let's generate some data
6 
-for ($i=0; $i < 100; $i++) {
7 
-	$a['x'][$i] = rand(0,4);
8 
-	$a['y'][$i] = rand(0,4);
9 
-	$a['z'][$i] = rand(0,4);
6 
+for ($i = 0; $i < 100; $i++) {
7 
+	$a['x'][$i] = rand(0, 4);
8 
+	$a['y'][$i] = rand(0, 4);
9 
+	$a['z'][$i] = rand(0, 4);
10 10 
 }
11 11
12 12 
 // and create a histogram from the data 
@@ -14,9 +14,9 @@  discard block
 
 block discarded – undo
14 14 
 $h = new \PEAR\Histogram\Histogram4D();
15 15 
 $h->setBinOptions(
16 16 
 	array(
17 
-		'low' => array( 'x' => 0, 'y' => 0, 'z'=>0),
18 
-		'high' => array( 'x' => 4.0, 'y' => 4.0, 'z'=>4.0),
19 
-		'nbins' => array( 'x' => 4, 'y' => 4, 'z'=>4)
17 
+		'low' => array('x' => 0, 'y' => 0, 'z'=>0),
18 
+		'high' => array('x' => 4.0, 'y' => 4.0, 'z'=>4.0),
19 
+		'nbins' => array('x' => 4, 'y' => 4, 'z'=>4)
20 20 
 		)
21 21 
 	);
22 22 
 $h->setData($a);
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docs/examples_histogram/ex_histogram.php 3 patches
Indentation   +5 added lines, -5 removed lines patch added patch discarded remove patch 
@@ -4,10 +4,10 @@  discard block
 
 block discarded – undo
4 4
5 5 
 // create a boring array
6 6 
 $vals = array(
7 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
10 
-		);
7 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
+            1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
10 
+        );
11 11
12 12 
 // create an instance
13 13 
 $h = new \PEAR\Histogram\Histogram();
 
@@ -24,7 +24,7 @@  discard block
 
 block discarded – undo
24 24 
 // let us read a bigger data set:
25 25 
 $data = array();
26 26 
 foreach(file(__DIR__."/../../tests/_data/ex_histogram.data") as $item)
27 
-	$data[] = floatval(trim($item));
27 
+    $data[] = floatval(trim($item));
28 28
29 29 
 // let's do a simple histogram
30 30 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_SIMPLE);
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Spacing   +6 added lines, -6 removed lines patch added patch discarded remove patch 
@@ -1,12 +1,12 @@  discard block
 
 block discarded – undo
1 1 
 <?php
2 2
3 
-require_once __DIR__ . '/../../vendor/autoload.php';
3 
+require_once __DIR__.'/../../vendor/autoload.php';
4 4
5 5 
 // create a boring array
6 6 
 $vals = array(
7 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
8 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2,
9 
-			1.5,2,3,4,0,3.2,0.1,0,0,5,3,2,3,4,1,2,4,5,1,3,2,4,5,2,3,4,1,2
7 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2,
8 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2,
9 
+			1.5, 2, 3, 4, 0, 3.2, 0.1, 0, 0, 5, 3, 2, 3, 4, 1, 2, 4, 5, 1, 3, 2, 4, 5, 2, 3, 4, 1, 2
10 10 
 		);
11 11
12 12 
 // create an instance 
@@ -23,13 +23,13 @@  discard block
 
 block discarded – undo
23 23
24 24 
 // let us read a bigger data set:
25 25 
 $data = array();
26 
-foreach(file(__DIR__."/../../tests/_data/ex_histogram.data") as $item)
26 
+foreach (file(__DIR__."/../../tests/_data/ex_histogram.data") as $item)
27 27 
 	$data[] = floatval(trim($item));
28 28
29 29 
 // let's do a simple histogram
30 30 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_SIMPLE);
31 31 
 // and set new bin options
32 
-$h->setBinOptions(20,1.7,2.7);
32 
+$h->setBinOptions(20, 1.7, 2.7);
33 33 
 // then set a the big data set
34 34 
 $h->setData($data);
35 35 
 // and calculate using full stats
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Braces   +2 added lines, -1 removed lines patch added patch discarded remove patch 
@@ -23,8 +23,9 @@
 
 block discarded – undo
23 23
24 24 
 // let us read a bigger data set:
25 25 
 $data = array();
26 
-foreach(file(__DIR__."/../../tests/_data/ex_histogram.data") as $item)
26 
+foreach(file(__DIR__."/../../tests/_data/ex_histogram.data") as $item) {
27 27 
 	$data[] = floatval(trim($item));
28 
+}
28 29
29 30 
 // let's do a simple histogram
30 31 
 $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_SIMPLE);
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contrib/ignatius_reilly/f_cumulative_normal_dist.php 2 patches
Indentation   +51 added lines, -51 removed lines patch added patch discarded remove patch 
@@ -2,88 +2,88 @@
 
 block discarded – undo
2 2
3 3 
 function normsdist( $x ) {
4 4
5 
-	// Returns the standard normal cumulative distribution
6 
-	// ---------------------------------------
5 
+    // Returns the standard normal cumulative distribution
6 
+    // ---------------------------------------
7 7
8 
-	// Load tabulated values in an array
9 
-	include "ndist_tabulated.php" ;
8 
+    // Load tabulated values in an array
9 
+    include "ndist_tabulated.php" ;
10 10
11 
-	// Discriminate upon the absolute value, then the sign of $x
12 
-	$x = number_format( $x, 2 ) ;
13 
-	if ( abs( $x ) >= 3.09 ) {
11 
+    // Discriminate upon the absolute value, then the sign of $x
12 
+    $x = number_format( $x, 2 ) ;
13 
+    if ( abs( $x ) >= 3.09 ) {
14 14
15 
-		$output = 0 ;
15 
+        $output = 0 ;
16 16
17 
-	} elseif ( $x==0 ) {
17 
+    } elseif ( $x==0 ) {
18 18
19 
-		$output = 0.5 ;
19 
+        $output = 0.5 ;
20 20
21 
-	} elseif ( $x<0 ) {
21 
+    } elseif ( $x<0 ) {
22 22
23 
-		// find higher boundary (next highest value with 2 decimals)
24 
-		$x2 = number_format( ceil( 100*$x )/100, 2 ) ;
25 
-		$x2 = (string)$x2 ;
23 
+        // find higher boundary (next highest value with 2 decimals)
24 
+        $x2 = number_format( ceil( 100*$x )/100, 2 ) ;
25 
+        $x2 = (string)$x2 ;
26 26
27 
-		// find lower boundary
28 
-		$x1 = number_format( $x2-0.01, 2 ) ;
29 
-		$x1 = (string)$x1 ;
27 
+        // find lower boundary
28 
+        $x1 = number_format( $x2-0.01, 2 ) ;
29 
+        $x1 = (string)$x1 ;
30 30
31 
-		// linear interpolate
32 
-		$output = $values[$x1] + ( $values[$x2] - $values[$x1] )/0.01*( $x - $x1 ) ;
31 
+        // linear interpolate
32 
+        $output = $values[$x1] + ( $values[$x2] - $values[$x1] )/0.01*( $x - $x1 ) ;
33 33
34 
-	} else {		// if x>0
34 
+    } else {		// if x>0
35 35
36 
-		$output = 1 - normsdist( -$x ) ;
36 
+        $output = 1 - normsdist( -$x ) ;
37 37
38 
-	}
38 
+    }
39 39
40 
-	return number_format( $output, 4 ) ;
40 
+    return number_format( $output, 4 ) ;
41 41
42 42 
 }
43 43
44 44
45 45 
 function normsinv( $y ) {
46 46
47 
-	// Returns the inverse standard normal cumulative distribution ( 0<y<1 )
48 
-	// ---------------------------------------
47 
+    // Returns the inverse standard normal cumulative distribution ( 0<y<1 )
48 
+    // ---------------------------------------
49 49
50 
-	// Load tabulated values in an array
51 
-	include "ndist_tabulated.php" ;
50 
+    // Load tabulated values in an array
51 
+    include "ndist_tabulated.php" ;
52 52
53 
-	// Discriminate upon whether $y is between 0 and 1, then upon its position relative to 0.5
54 
-	$y = number_format( $y, 4 ) ;
55 
-	if ( $y<=0 || $y>=1 ) {
53 
+    // Discriminate upon whether $y is between 0 and 1, then upon its position relative to 0.5
54 
+    $y = number_format( $y, 4 ) ;
55 
+    if ( $y<=0 || $y>=1 ) {
56 56
57 
-		$output = FALSE ;
57 
+        $output = FALSE ;
58 58
59 
-	} elseif ( $y<=0.5 ) {
59 
+    } elseif ( $y<=0.5 ) {
60 60
61 
-		// find the largest index which value is smaller than $y:
61 
+        // find the largest index which value is smaller than $y:
62 62
63 
-		// filter array for values higher than $y
64 
-		$smaller = array() ;
65 
-		while ( list( $key, $value ) = each( $values ) ) {
66 
-			if ( $value <= $y ) {
67 
-				$smaller[$key] = $value ;
68 
-			}
69 
-		}
70 
-		// order $values in decreasing terms of the $values
71 
-		krsort( $smaller, SORT_NUMERIC ) ;
72 
-		reset( $smaller ) ;
63 
+        // filter array for values higher than $y
64 
+        $smaller = array() ;
65 
+        while ( list( $key, $value ) = each( $values ) ) {
66 
+            if ( $value <= $y ) {
67 
+                $smaller[$key] = $value ;
68 
+            }
69 
+        }
70 
+        // order $values in decreasing terms of the $values
71 
+        krsort( $smaller, SORT_NUMERIC ) ;
72 
+        reset( $smaller ) ;
73 73
74 
-		$x1 = (string)key( $smaller ) ;
75 
-		$x2 = (string)( $x1+0.01 ) ;
74 
+        $x1 = (string)key( $smaller ) ;
75 
+        $x2 = (string)( $x1+0.01 ) ;
76 76
77 
-		// interpolate
78 
-		$output = $x1 + ( $y - $values[$x1] )/( $values[$x2] - $values[$x1] )*0.01 ;
77 
+        // interpolate
78 
+        $output = $x1 + ( $y - $values[$x1] )/( $values[$x2] - $values[$x1] )*0.01 ;
79 79
80 
-	} else {	// meaning $x between 0.5 and 1
80 
+    } else {	// meaning $x between 0.5 and 1
81 81
82 
-		$output = - normsinv( 1 - $y ) ;
82 
+        $output = - normsinv( 1 - $y ) ;
83 83
84 
-	}
84 
+    }
85 85
86 
-	return number_format( $output, 4 ) ;
86 
+    return number_format( $output, 4 ) ;
87 87
88 88 
 }
89 89
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Spacing   +32 added lines, -32 removed lines patch added patch discarded remove patch 
@@ -1,89 +1,89 @@
 
 block discarded – undo
1 1 
 <?php
2 2
3 
-function normsdist( $x ) {
3 
+function normsdist($x) {
4 4
5 5 
 	// Returns the standard normal cumulative distribution
6 6 
 	// ---------------------------------------
7 7
8 8 
 	// Load tabulated values in an array
9 
-	include "ndist_tabulated.php" ;
9 
+	include "ndist_tabulated.php";
10 10
11 11 
 	// Discriminate upon the absolute value, then the sign of $x
12 
-	$x = number_format( $x, 2 ) ;
13 
-	if ( abs( $x ) >= 3.09 ) {
12 
+	$x = number_format($x, 2);
13 
+	if (abs($x) >= 3.09) {
14 14
15 
-		$output = 0 ;
15 
+		$output = 0;
16 16
17 
-	} elseif ( $x==0 ) {
17 
+	} elseif ($x == 0) {
18 18
19 
-		$output = 0.5 ;
19 
+		$output = 0.5;
20 20
21 
-	} elseif ( $x<0 ) {
21 
+	} elseif ($x < 0) {
22 22
23 23 
 		// find higher boundary (next highest value with 2 decimals)
24 
-		$x2 = number_format( ceil( 100*$x )/100, 2 ) ;
25 
-		$x2 = (string)$x2 ;
24 
+		$x2 = number_format(ceil(100*$x)/100, 2);
25 
+		$x2 = (string)$x2;
26 26
27 27 
 		// find lower boundary
28 
-		$x1 = number_format( $x2-0.01, 2 ) ;
29 
-		$x1 = (string)$x1 ;
28 
+		$x1 = number_format($x2 - 0.01, 2);
29 
+		$x1 = (string)$x1;
30 30
31 31 
 		// linear interpolate
32 
-		$output = $values[$x1] + ( $values[$x2] - $values[$x1] )/0.01*( $x - $x1 ) ;
32 
+		$output = $values[$x1] + ($values[$x2] - $values[$x1])/0.01*($x - $x1);
33 33
34 34 
 	} else {		// if x>0
35 35
36 
-		$output = 1 - normsdist( -$x ) ;
36 
+		$output = 1 - normsdist( -$x );
37 37
38 38 
 	}
39 39
40 
-	return number_format( $output, 4 ) ;
40 
+	return number_format($output, 4);
41 41
42 42 
 }
43 43
44 44
45 
-function normsinv( $y ) {
45 
+function normsinv($y) {
46 46
47 47 
 	// Returns the inverse standard normal cumulative distribution ( 0<y<1 )
48 48 
 	// ---------------------------------------
49 49
50 50 
 	// Load tabulated values in an array
51 
-	include "ndist_tabulated.php" ;
51 
+	include "ndist_tabulated.php";
52 52
53 53 
 	// Discriminate upon whether $y is between 0 and 1, then upon its position relative to 0.5
54 
-	$y = number_format( $y, 4 ) ;
55 
-	if ( $y<=0 || $y>=1 ) {
54 
+	$y = number_format($y, 4);
55 
+	if ($y <= 0 || $y >= 1) {
56 56
57 
-		$output = FALSE ;
57 
+		$output = FALSE;
58 58
59 
-	} elseif ( $y<=0.5 ) {
59 
+	} elseif ($y <= 0.5) {
60 60
61 61 
 		// find the largest index which value is smaller than $y:
62 62
63 63 
 		// filter array for values higher than $y
64 
-		$smaller = array() ;
65 
-		while ( list( $key, $value ) = each( $values ) ) {
66 
-			if ( $value <= $y ) {
67 
-				$smaller[$key] = $value ;
64 
+		$smaller = array();
65 
+		while (list($key, $value) = each($values)) {
66 
+			if ($value <= $y) {
67 
+				$smaller[$key] = $value;
68 68 
 			}
69 69 
 		}
70 70 
 		// order $values in decreasing terms of the $values
71 
-		krsort( $smaller, SORT_NUMERIC ) ;
72 
-		reset( $smaller ) ;
71 
+		krsort($smaller, SORT_NUMERIC);
72 
+		reset($smaller);
73 73
74 
-		$x1 = (string)key( $smaller ) ;
75 
-		$x2 = (string)( $x1+0.01 ) ;
74 
+		$x1 = (string)key($smaller);
75 
+		$x2 = (string)($x1 + 0.01);
76 76
77 77 
 		// interpolate
78 
-		$output = $x1 + ( $y - $values[$x1] )/( $values[$x2] - $values[$x1] )*0.01 ;
78 
+		$output = $x1 + ($y - $values[$x1])/($values[$x2] - $values[$x1])*0.01;
79 79
80 80 
 	} else {	// meaning $x between 0.5 and 1
81 81
82 
-		$output = - normsinv( 1 - $y ) ;
82 
+		$output = - normsinv(1 - $y);
83 83
84 84 
 	}
85 85
86 
-	return number_format( $output, 4 ) ;
86 
+	return number_format($output, 4);
87 87
88 88 
 }
89 89
Please login to merge, or discard this patch.
contrib/ignatius_reilly/ndist_tabulated.php 1 patch
Spacing   +343 added lines, -343 removed lines patch added patch discarded remove patch 
@@ -4,348 +4,348 @@
 
 block discarded – undo
4 4 
 // -----------------------------------
5 5
6 6 
 // Tabulated table values(x) that has been for x<=0
7 
-$values = array() ;
8 
-
9 
-$values["-3.00"] = 0.0013 ;
10 
-$values["-3.01"] = 0.0013 ;
11 
-$values["-3.02"] = 0.0013 ;
12 
-$values["-3.03"] = 0.0012 ;
13 
-$values["-3.04"] = 0.0012 ;
14 
-$values["-3.05"] = 0.0011 ;
15 
-$values["-3.06"] = 0.0011 ;
16 
-$values["-3.07"] = 0.0011 ;
17 
-$values["-3.08"] = 0.001 ;
18 
-$values["-3.09"] = 0.001 ;
19 
-
20 
-$values["-2.90"] = 0.0019 ;
21 
-$values["-2.91"] = 0.0018 ;
22 
-$values["-2.92"] = 0.0017 ;
23 
-$values["-2.93"] = 0.0017 ;
24 
-$values["-2.94"] = 0.0016 ;
25 
-$values["-2.95"] = 0.0016 ;
26 
-$values["-2.96"] = 0.0015 ;
27 
-$values["-2.97"] = 0.0015 ;
28 
-$values["-2.98"] = 0.0014 ;
29 
-$values["-2.99"] = 0.0014 ;
30 
-
31 
-$values["-2.80"] = 0.0026 ;
32 
-$values["-2.81"] = 0.0025 ;
33 
-$values["-2.82"] = 0.0024 ;
34 
-$values["-2.83"] = 0.0023 ;
35 
-$values["-2.84"] = 0.0023 ;
36 
-$values["-2.85"] = 0.0022 ;
37 
-$values["-2.86"] = 0.0021 ;
38 
-$values["-2.87"] = 0.0021 ;
39 
-$values["-2.88"] = 0.002 ;
40 
-$values["-2.89"] = 0.0019 ;
41 
-
42 
-$values["-2.70"] = 0.0035 ;
43 
-$values["-2.71"] = 0.0034 ;
44 
-$values["-2.72"] = 0.0033 ;
45 
-$values["-2.73"] = 0.0032 ;
46 
-$values["-2.74"] = 0.0031 ;
47 
-$values["-2.75"] = 0.003 ;
48 
-$values["-2.76"] = 0.0029 ;
49 
-$values["-2.77"] = 0.0028 ;
50 
-$values["-2.78"] = 0.0027 ;
51 
-$values["-2.79"] = 0.0026 ;
52 
-
53 
-$values["-2.60"] = 0.0047 ;
54 
-$values["-2.61"] = 0.0045 ;
55 
-$values["-2.62"] = 0.0044 ;
56 
-$values["-2.63"] = 0.0043 ;
57 
-$values["-2.64"] = 0.0041 ;
58 
-$values["-2.65"] = 0.004 ;
59 
-$values["-2.66"] = 0.0039 ;
60 
-$values["-2.67"] = 0.0038 ;
61 
-$values["-2.68"] = 0.0037 ;
62 
-$values["-2.69"] = 0.0036 ;
63 
-
64 
-$values["-2.50"] = 0.0062 ;
65 
-$values["-2.51"] = 0.006 ;
66 
-$values["-2.52"] = 0.0059 ;
67 
-$values["-2.53"] = 0.0057 ;
68 
-$values["-2.54"] = 0.0055 ;
69 
-$values["-2.55"] = 0.0054 ;
70 
-$values["-2.56"] = 0.0052 ;
71 
-$values["-2.57"] = 0.0051 ;
72 
-$values["-2.58"] = 0.0049 ;
73 
-$values["-2.59"] = 0.0048 ;
74 
-
75 
-$values["-2.40"] = 0.0082 ;
76 
-$values["-2.41"] = 0.008 ;
77 
-$values["-2.42"] = 0.0078 ;
78 
-$values["-2.43"] = 0.0075 ;
79 
-$values["-2.44"] = 0.0073 ;
80 
-$values["-2.45"] = 0.0071 ;
81 
-$values["-2.46"] = 0.0069 ;
82 
-$values["-2.47"] = 0.0068 ;
83 
-$values["-2.48"] = 0.0066 ;
84 
-$values["-2.49"] = 0.0064 ;
85 
-
86 
-$values["-2.30"] = 0.0107 ;
87 
-$values["-2.31"] = 0.0104 ;
88 
-$values["-2.32"] = 0.0102 ;
89 
-$values["-2.33"] = 0.0099 ;
90 
-$values["-2.34"] = 0.0096 ;
91 
-$values["-2.35"] = 0.0094 ;
92 
-$values["-2.36"] = 0.0091 ;
93 
-$values["-2.37"] = 0.0089 ;
94 
-$values["-2.38"] = 0.0087 ;
95 
-$values["-2.39"] = 0.0084 ;
96 
-
97 
-$values["-2.20"] = 0.0139 ;
98 
-$values["-2.21"] = 0.0136 ;
99 
-$values["-2.22"] = 0.0132 ;
100 
-$values["-2.23"] = 0.0129 ;
101 
-$values["-2.24"] = 0.0125 ;
102 
-$values["-2.25"] = 0.0122 ;
103 
-$values["-2.26"] = 0.0119 ;
104 
-$values["-2.27"] = 0.0116 ;
105 
-$values["-2.28"] = 0.0113 ;
106 
-$values["-2.29"] = 0.011 ;
107 
-
108 
-$values["-2.10"] = 0.0179 ;
109 
-$values["-2.11"] = 0.0174 ;
110 
-$values["-2.12"] = 0.017 ;
111 
-$values["-2.13"] = 0.0166 ;
112 
-$values["-2.14"] = 0.0162 ;
113 
-$values["-2.15"] = 0.0158 ;
114 
-$values["-2.16"] = 0.0154 ;
115 
-$values["-2.17"] = 0.015 ;
116 
-$values["-2.18"] = 0.0146 ;
117 
-$values["-2.19"] = 0.0143 ;
118 
-
119 
-$values["-2.00"] = 0.0227 ;
120 
-$values["-2.01"] = 0.0222 ;
121 
-$values["-2.02"] = 0.0217 ;
122 
-$values["-2.03"] = 0.0212 ;
123 
-$values["-2.04"] = 0.0207 ;
124 
-$values["-2.05"] = 0.0202 ;
125 
-$values["-2.06"] = 0.0197 ;
126 
-$values["-2.07"] = 0.0192 ;
127 
-$values["-2.08"] = 0.0188 ;
128 
-$values["-2.09"] = 0.0183 ;
129 
-
130 
-$values["-1.90"] = 0.0287 ;
131 
-$values["-1.91"] = 0.0281 ;
132 
-$values["-1.92"] = 0.0274 ;
133 
-$values["-1.93"] = 0.0268 ;
134 
-$values["-1.94"] = 0.0262 ;
135 
-$values["-1.95"] = 0.0256 ;
136 
-$values["-1.96"] = 0.025 ;
137 
-$values["-1.97"] = 0.0244 ;
138 
-$values["-1.98"] = 0.0239 ;
139 
-$values["-1.99"] = 0.0233 ;
140 
-
141 
-$values["-1.80"] = 0.0359 ;
142 
-$values["-1.81"] = 0.0351 ;
143 
-$values["-1.82"] = 0.0344 ;
144 
-$values["-1.83"] = 0.0336 ;
145 
-$values["-1.84"] = 0.0329 ;
146 
-$values["-1.85"] = 0.0322 ;
147 
-$values["-1.86"] = 0.0314 ;
148 
-$values["-1.87"] = 0.0307 ;
149 
-$values["-1.88"] = 0.0301 ;
150 
-$values["-1.89"] = 0.0294 ;
151 
-
152 
-$values["-1.70"] = 0.0446 ;
153 
-$values["-1.71"] = 0.0436 ;
154 
-$values["-1.72"] = 0.0427 ;
155 
-
156 
-$values["-1.73"] = 0.0418 ;
157 
-$values["-1.74"] = 0.0409 ;
158 
-$values["-1.75"] = 0.0401 ;
159 
-$values["-1.76"] = 0.0392 ;
160 
-$values["-1.77"] = 0.0384 ;
161 
-$values["-1.78"] = 0.0375 ;
162 
-$values["-1.79"] = 0.0367 ;
163 
-
164 
-$values["-1.60"] = 0.0548 ;
165 
-$values["-1.61"] = 0.0537 ;
166 
-$values["-1.62"] = 0.0526 ;
167 
-$values["-1.63"] = 0.0516 ;
168 
-$values["-1.64"] = 0.0505 ;
169 
-$values["-1.65"] = 0.0495 ;
170 
-$values["-1.66"] = 0.0485 ;
171 
-$values["-1.67"] = 0.0475 ;
172 
-$values["-1.68"] = 0.0465 ;
173 
-$values["-1.69"] = 0.0455 ;
174 
-
175 
-$values["-1.50"] = 0.0668 ;
176 
-$values["-1.51"] = 0.0655 ;
177 
-$values["-1.52"] = 0.0643 ;
178 
-$values["-1.53"] = 0.063 ;
179 
-$values["-1.54"] = 0.0618 ;
180 
-$values["-1.55"] = 0.0606 ;
181 
-$values["-1.56"] = 0.0594 ;
182 
-$values["-1.57"] = 0.0582 ;
183 
-$values["-1.58"] = 0.0571 ;
184 
-$values["-1.59"] = 0.0559 ;
185 
-
186 
-$values["-1.40"] = 0.0808 ;
187 
-$values["-1.41"] = 0.0793 ;
188 
-$values["-1.42"] = 0.0778 ;
189 
-$values["-1.43"] = 0.0764 ;
190 
-$values["-1.44"] = 0.0749 ;
191 
-$values["-1.45"] = 0.0735 ;
192 
-$values["-1.46"] = 0.0721 ;
193 
-$values["-1.47"] = 0.0708 ;
194 
-$values["-1.48"] = 0.0694 ;
195 
-$values["-1.49"] = 0.0681 ;
196 
-
197 
-$values["-1.30"] = 0.0968 ;
198 
-$values["-1.31"] = 0.0951 ;
199 
-$values["-1.32"] = 0.0934 ;
200 
-$values["-1.33"] = 0.0918 ;
201 
-$values["-1.34"] = 0.0901 ;
202 
-$values["-1.35"] = 0.0885 ;
203 
-$values["-1.36"] = 0.0869 ;
204 
-$values["-1.37"] = 0.0853 ;
205 
-$values["-1.38"] = 0.0838 ;
206 
-$values["-1.39"] = 0.0823 ;
207 
-
208 
-$values["-1.20"] = 0.1151 ;
209 
-$values["-1.21"] = 0.1131 ;
210 
-$values["-1.22"] = 0.1112 ;
211 
-$values["-1.23"] = 0.1093 ;
212 
-$values["-1.24"] = 0.1075 ;
213 
-$values["-1.25"] = 0.1056 ;
214 
-$values["-1.26"] = 0.1038 ;
215 
-$values["-1.27"] = 0.102 ;
216 
-$values["-1.28"] = 0.1003 ;
217 
-$values["-1.29"] = 0.0985 ;
218 
-
219 
-$values["-1.10"] = 0.1357 ;
220 
-$values["-1.11"] = 0.1335 ;
221 
-$values["-1.12"] = 0.1314 ;
222 
-$values["-1.13"] = 0.1292 ;
223 
-$values["-1.14"] = 0.1271 ;
224 
-$values["-1.15"] = 0.1251 ;
225 
-$values["-1.16"] = 0.123 ;
226 
-$values["-1.17"] = 0.121 ;
227 
-$values["-1.18"] = 0.119 ;
228 
-$values["-1.19"] = 0.117 ;
229 
-
230 
-$values["-1.00"] = 0.1587 ;
231 
-$values["-1.01"] = 0.1562 ;
232 
-$values["-1.02"] = 0.1539 ;
233 
-$values["-1.03"] = 0.1515 ;
234 
-$values["-1.04"] = 0.1492 ;
235 
-$values["-1.05"] = 0.1469 ;
236 
-$values["-1.06"] = 0.1446 ;
237 
-$values["-1.07"] = 0.1423 ;
238 
-$values["-1.08"] = 0.1401 ;
239 
-$values["-1.09"] = 0.1379 ;
240 
-
241 
-$values["-0.90"] = 0.1841 ;
242 
-$values["-0.91"] = 0.1814 ;
243 
-$values["-0.92"] = 0.1788 ;
244 
-$values["-0.93"] = 0.1762 ;
245 
-$values["-0.94"] = 0.1736 ;
246 
-$values["-0.95"] = 0.1711 ;
247 
-$values["-0.96"] = 0.1685 ;
248 
-$values["-0.97"] = 0.166 ;
249 
-$values["-0.98"] = 0.1635 ;
250 
-$values["-0.99"] = 0.1611 ;
251 
-
252 
-$values["-0.80"] = 0.2119 ;
253 
-$values["-0.81"] = 0.209 ;
254 
-$values["-0.82"] = 0.2061 ;
255 
-$values["-0.83"] = 0.2033 ;
256 
-$values["-0.84"] = 0.2005 ;
257 
-$values["-0.85"] = 0.1977 ;
258 
-$values["-0.86"] = 0.1949 ;
259 
-$values["-0.87"] = 0.1922 ;
260 
-$values["-0.88"] = 0.1894 ;
261 
-$values["-0.89"] = 0.1867 ;
262 
-
263 
-$values["-0.70"] = 0.242 ;
264 
-$values["-0.71"] = 0.2389 ;
265 
-$values["-0.72"] = 0.2358 ;
266 
-$values["-0.73"] = 0.2327 ;
267 
-$values["-0.74"] = 0.2296 ;
268 
-$values["-0.75"] = 0.2266 ;
269 
-$values["-0.76"] = 0.2236 ;
270 
-$values["-0.77"] = 0.2206 ;
271 
-$values["-0.78"] = 0.2177 ;
272 
-$values["-0.79"] = 0.2148 ;
273 
-
274 
-$values["-0.60"] = 0.2743 ;
275 
-$values["-0.61"] = 0.2709 ;
276 
-$values["-0.62"] = 0.2676 ;
277 
-$values["-0.63"] = 0.2643 ;
278 
-$values["-0.64"] = 0.2611 ;
279 
-$values["-0.65"] = 0.2578 ;
280 
-$values["-0.66"] = 0.2546 ;
281 
-$values["-0.67"] = 0.2514 ;
282 
-$values["-0.68"] = 0.2483 ;
283 
-$values["-0.69"] = 0.2451 ;
284 
-
285 
-$values["-0.50"] = 0.3085 ;
286 
-$values["-0.51"] = 0.305 ;
287 
-$values["-0.52"] = 0.3015 ;
288 
-$values["-0.53"] = 0.2981 ;
289 
-$values["-0.54"] = 0.2946 ;
290 
-$values["-0.55"] = 0.2912 ;
291 
-$values["-0.56"] = 0.2877 ;
292 
-$values["-0.57"] = 0.2843 ;
293 
-$values["-0.58"] = 0.281 ;
294 
-$values["-0.59"] = 0.2776 ;
295 
-
296 
-$values["-0.40"] = 0.3446 ;
297 
-$values["-0.41"] = 0.3409 ;
298 
-$values["-0.42"] = 0.3372 ;
299 
-$values["-0.43"] = 0.3336 ;
300 
-$values["-0.44"] = 0.33 ;
301 
-$values["-0.45"] = 0.3264 ;
302 
-$values["-0.46"] = 0.3228 ;
303 
-$values["-0.47"] = 0.3192 ;
304 
-$values["-0.48"] = 0.3156 ;
305 
-$values["-0.49"] = 0.3121 ;
306 
-
307 
-$values["-0.30"] = 0.3821 ;
308 
-$values["-0.31"] = 0.3783 ;
309 
-$values["-0.32"] = 0.3745 ;
310 
-$values["-0.33"] = 0.3707 ;
311 
-$values["-0.34"] = 0.3669 ;
312 
-$values["-0.35"] = 0.3632 ;
313 
-$values["-0.36"] = 0.3594 ;
314 
-$values["-0.37"] = 0.3557 ;
315 
-$values["-0.38"] = 0.352 ;
316 
-$values["-0.39"] = 0.3483 ;
317 
-
318 
-$values["-0.20"] = 0.4207 ;
319 
-$values["-0.21"] = 0.4168 ;
320 
-$values["-0.22"] = 0.4129 ;
321 
-$values["-0.23"] = 0.409 ;
322 
-$values["-0.24"] = 0.4052 ;
323 
-$values["-0.25"] = 0.4013 ;
324 
-$values["-0.26"] = 0.3974 ;
325 
-$values["-0.27"] = 0.3936 ;
326 
-$values["-0.28"] = 0.3897 ;
327 
-$values["-0.29"] = 0.3859 ;
328 
-
329 
-$values["-0.10"] = 0.4602 ;
330 
-$values["-0.11"] = 0.4562 ;
331 
-$values["-0.12"] = 0.4522 ;
332 
-$values["-0.13"] = 0.4483 ;
333 
-$values["-0.14"] = 0.4443 ;
334 
-$values["-0.15"] = 0.4404 ;
335 
-$values["-0.16"] = 0.4364 ;
336 
-$values["-0.17"] = 0.4325 ;
337 
-$values["-0.18"] = 0.4286 ;
338 
-$values["-0.19"] = 0.4247 ;
339 
-
340 
-$values["-0.00"] = 0.5 ;
341 
-$values["-0.01"] = 0.496 ;
342 
-$values["-0.02"] = 0.492 ;
343 
-$values["-0.03"] = 0.488 ;
344 
-$values["-0.04"] = 0.484 ;
345 
-$values["-0.05"] = 0.4801 ;
346 
-$values["-0.06"] = 0.4761 ;
347 
-$values["-0.07"] = 0.4721 ;
348 
-$values["-0.08"] = 0.4681 ;
349 
-$values["-0.09"] = 0.4641 ;
7 
+$values = array();
8 
+
9 
+$values["-3.00"] = 0.0013;
10 
+$values["-3.01"] = 0.0013;
11 
+$values["-3.02"] = 0.0013;
12 
+$values["-3.03"] = 0.0012;
13 
+$values["-3.04"] = 0.0012;
14 
+$values["-3.05"] = 0.0011;
15 
+$values["-3.06"] = 0.0011;
16 
+$values["-3.07"] = 0.0011;
17 
+$values["-3.08"] = 0.001;
18 
+$values["-3.09"] = 0.001;
19 
+
20 
+$values["-2.90"] = 0.0019;
21 
+$values["-2.91"] = 0.0018;
22 
+$values["-2.92"] = 0.0017;
23 
+$values["-2.93"] = 0.0017;
24 
+$values["-2.94"] = 0.0016;
25 
+$values["-2.95"] = 0.0016;
26 
+$values["-2.96"] = 0.0015;
27 
+$values["-2.97"] = 0.0015;
28 
+$values["-2.98"] = 0.0014;
29 
+$values["-2.99"] = 0.0014;
30 
+
31 
+$values["-2.80"] = 0.0026;
32 
+$values["-2.81"] = 0.0025;
33 
+$values["-2.82"] = 0.0024;
34 
+$values["-2.83"] = 0.0023;
35 
+$values["-2.84"] = 0.0023;
36 
+$values["-2.85"] = 0.0022;
37 
+$values["-2.86"] = 0.0021;
38 
+$values["-2.87"] = 0.0021;
39 
+$values["-2.88"] = 0.002;
40 
+$values["-2.89"] = 0.0019;
41 
+
42 
+$values["-2.70"] = 0.0035;
43 
+$values["-2.71"] = 0.0034;
44 
+$values["-2.72"] = 0.0033;
45 
+$values["-2.73"] = 0.0032;
46 
+$values["-2.74"] = 0.0031;
47 
+$values["-2.75"] = 0.003;
48 
+$values["-2.76"] = 0.0029;
49 
+$values["-2.77"] = 0.0028;
50 
+$values["-2.78"] = 0.0027;
51 
+$values["-2.79"] = 0.0026;
52 
+
53 
+$values["-2.60"] = 0.0047;
54 
+$values["-2.61"] = 0.0045;
55 
+$values["-2.62"] = 0.0044;
56 
+$values["-2.63"] = 0.0043;
57 
+$values["-2.64"] = 0.0041;
58 
+$values["-2.65"] = 0.004;
59 
+$values["-2.66"] = 0.0039;
60 
+$values["-2.67"] = 0.0038;
61 
+$values["-2.68"] = 0.0037;
62 
+$values["-2.69"] = 0.0036;
63 
+
64 
+$values["-2.50"] = 0.0062;
65 
+$values["-2.51"] = 0.006;
66 
+$values["-2.52"] = 0.0059;
67 
+$values["-2.53"] = 0.0057;
68 
+$values["-2.54"] = 0.0055;
69 
+$values["-2.55"] = 0.0054;
70 
+$values["-2.56"] = 0.0052;
71 
+$values["-2.57"] = 0.0051;
72 
+$values["-2.58"] = 0.0049;
73 
+$values["-2.59"] = 0.0048;
74 
+
75 
+$values["-2.40"] = 0.0082;
76 
+$values["-2.41"] = 0.008;
77 
+$values["-2.42"] = 0.0078;
78 
+$values["-2.43"] = 0.0075;
79 
+$values["-2.44"] = 0.0073;
80 
+$values["-2.45"] = 0.0071;
81 
+$values["-2.46"] = 0.0069;
82 
+$values["-2.47"] = 0.0068;
83 
+$values["-2.48"] = 0.0066;
84 
+$values["-2.49"] = 0.0064;
85 
+
86 
+$values["-2.30"] = 0.0107;
87 
+$values["-2.31"] = 0.0104;
88 
+$values["-2.32"] = 0.0102;
89 
+$values["-2.33"] = 0.0099;
90 
+$values["-2.34"] = 0.0096;
91 
+$values["-2.35"] = 0.0094;
92 
+$values["-2.36"] = 0.0091;
93 
+$values["-2.37"] = 0.0089;
94 
+$values["-2.38"] = 0.0087;
95 
+$values["-2.39"] = 0.0084;
96 
+
97 
+$values["-2.20"] = 0.0139;
98 
+$values["-2.21"] = 0.0136;
99 
+$values["-2.22"] = 0.0132;
100 
+$values["-2.23"] = 0.0129;
101 
+$values["-2.24"] = 0.0125;
102 
+$values["-2.25"] = 0.0122;
103 
+$values["-2.26"] = 0.0119;
104 
+$values["-2.27"] = 0.0116;
105 
+$values["-2.28"] = 0.0113;
106 
+$values["-2.29"] = 0.011;
107 
+
108 
+$values["-2.10"] = 0.0179;
109 
+$values["-2.11"] = 0.0174;
110 
+$values["-2.12"] = 0.017;
111 
+$values["-2.13"] = 0.0166;
112 
+$values["-2.14"] = 0.0162;
113 
+$values["-2.15"] = 0.0158;
114 
+$values["-2.16"] = 0.0154;
115 
+$values["-2.17"] = 0.015;
116 
+$values["-2.18"] = 0.0146;
117 
+$values["-2.19"] = 0.0143;
118 
+
119 
+$values["-2.00"] = 0.0227;
120 
+$values["-2.01"] = 0.0222;
121 
+$values["-2.02"] = 0.0217;
122 
+$values["-2.03"] = 0.0212;
123 
+$values["-2.04"] = 0.0207;
124 
+$values["-2.05"] = 0.0202;
125 
+$values["-2.06"] = 0.0197;
126 
+$values["-2.07"] = 0.0192;
127 
+$values["-2.08"] = 0.0188;
128 
+$values["-2.09"] = 0.0183;
129 
+
130 
+$values["-1.90"] = 0.0287;
131 
+$values["-1.91"] = 0.0281;
132 
+$values["-1.92"] = 0.0274;
133 
+$values["-1.93"] = 0.0268;
134 
+$values["-1.94"] = 0.0262;
135 
+$values["-1.95"] = 0.0256;
136 
+$values["-1.96"] = 0.025;
137 
+$values["-1.97"] = 0.0244;
138 
+$values["-1.98"] = 0.0239;
139 
+$values["-1.99"] = 0.0233;
140 
+
141 
+$values["-1.80"] = 0.0359;
142 
+$values["-1.81"] = 0.0351;
143 
+$values["-1.82"] = 0.0344;
144 
+$values["-1.83"] = 0.0336;
145 
+$values["-1.84"] = 0.0329;
146 
+$values["-1.85"] = 0.0322;
147 
+$values["-1.86"] = 0.0314;
148 
+$values["-1.87"] = 0.0307;
149 
+$values["-1.88"] = 0.0301;
150 
+$values["-1.89"] = 0.0294;
151 
+
152 
+$values["-1.70"] = 0.0446;
153 
+$values["-1.71"] = 0.0436;
154 
+$values["-1.72"] = 0.0427;
155 
+
156 
+$values["-1.73"] = 0.0418;
157 
+$values["-1.74"] = 0.0409;
158 
+$values["-1.75"] = 0.0401;
159 
+$values["-1.76"] = 0.0392;
160 
+$values["-1.77"] = 0.0384;
161 
+$values["-1.78"] = 0.0375;
162 
+$values["-1.79"] = 0.0367;
163 
+
164 
+$values["-1.60"] = 0.0548;
165 
+$values["-1.61"] = 0.0537;
166 
+$values["-1.62"] = 0.0526;
167 
+$values["-1.63"] = 0.0516;
168 
+$values["-1.64"] = 0.0505;
169 
+$values["-1.65"] = 0.0495;
170 
+$values["-1.66"] = 0.0485;
171 
+$values["-1.67"] = 0.0475;
172 
+$values["-1.68"] = 0.0465;
173 
+$values["-1.69"] = 0.0455;
174 
+
175 
+$values["-1.50"] = 0.0668;
176 
+$values["-1.51"] = 0.0655;
177 
+$values["-1.52"] = 0.0643;
178 
+$values["-1.53"] = 0.063;
179 
+$values["-1.54"] = 0.0618;
180 
+$values["-1.55"] = 0.0606;
181 
+$values["-1.56"] = 0.0594;
182 
+$values["-1.57"] = 0.0582;
183 
+$values["-1.58"] = 0.0571;
184 
+$values["-1.59"] = 0.0559;
185 
+
186 
+$values["-1.40"] = 0.0808;
187 
+$values["-1.41"] = 0.0793;
188 
+$values["-1.42"] = 0.0778;
189 
+$values["-1.43"] = 0.0764;
190 
+$values["-1.44"] = 0.0749;
191 
+$values["-1.45"] = 0.0735;
192 
+$values["-1.46"] = 0.0721;
193 
+$values["-1.47"] = 0.0708;
194 
+$values["-1.48"] = 0.0694;
195 
+$values["-1.49"] = 0.0681;
196 
+
197 
+$values["-1.30"] = 0.0968;
198 
+$values["-1.31"] = 0.0951;
199 
+$values["-1.32"] = 0.0934;
200 
+$values["-1.33"] = 0.0918;
201 
+$values["-1.34"] = 0.0901;
202 
+$values["-1.35"] = 0.0885;
203 
+$values["-1.36"] = 0.0869;
204 
+$values["-1.37"] = 0.0853;
205 
+$values["-1.38"] = 0.0838;
206 
+$values["-1.39"] = 0.0823;
207 
+
208 
+$values["-1.20"] = 0.1151;
209 
+$values["-1.21"] = 0.1131;
210 
+$values["-1.22"] = 0.1112;
211 
+$values["-1.23"] = 0.1093;
212 
+$values["-1.24"] = 0.1075;
213 
+$values["-1.25"] = 0.1056;
214 
+$values["-1.26"] = 0.1038;
215 
+$values["-1.27"] = 0.102;
216 
+$values["-1.28"] = 0.1003;
217 
+$values["-1.29"] = 0.0985;
218 
+
219 
+$values["-1.10"] = 0.1357;
220 
+$values["-1.11"] = 0.1335;
221 
+$values["-1.12"] = 0.1314;
222 
+$values["-1.13"] = 0.1292;
223 
+$values["-1.14"] = 0.1271;
224 
+$values["-1.15"] = 0.1251;
225 
+$values["-1.16"] = 0.123;
226 
+$values["-1.17"] = 0.121;
227 
+$values["-1.18"] = 0.119;
228 
+$values["-1.19"] = 0.117;
229 
+
230 
+$values["-1.00"] = 0.1587;
231 
+$values["-1.01"] = 0.1562;
232 
+$values["-1.02"] = 0.1539;
233 
+$values["-1.03"] = 0.1515;
234 
+$values["-1.04"] = 0.1492;
235 
+$values["-1.05"] = 0.1469;
236 
+$values["-1.06"] = 0.1446;
237 
+$values["-1.07"] = 0.1423;
238 
+$values["-1.08"] = 0.1401;
239 
+$values["-1.09"] = 0.1379;
240 
+
241 
+$values["-0.90"] = 0.1841;
242 
+$values["-0.91"] = 0.1814;
243 
+$values["-0.92"] = 0.1788;
244 
+$values["-0.93"] = 0.1762;
245 
+$values["-0.94"] = 0.1736;
246 
+$values["-0.95"] = 0.1711;
247 
+$values["-0.96"] = 0.1685;
248 
+$values["-0.97"] = 0.166;
249 
+$values["-0.98"] = 0.1635;
250 
+$values["-0.99"] = 0.1611;
251 
+
252 
+$values["-0.80"] = 0.2119;
253 
+$values["-0.81"] = 0.209;
254 
+$values["-0.82"] = 0.2061;
255 
+$values["-0.83"] = 0.2033;
256 
+$values["-0.84"] = 0.2005;
257 
+$values["-0.85"] = 0.1977;
258 
+$values["-0.86"] = 0.1949;
259 
+$values["-0.87"] = 0.1922;
260 
+$values["-0.88"] = 0.1894;
261 
+$values["-0.89"] = 0.1867;
262 
+
263 
+$values["-0.70"] = 0.242;
264 
+$values["-0.71"] = 0.2389;
265 
+$values["-0.72"] = 0.2358;
266 
+$values["-0.73"] = 0.2327;
267 
+$values["-0.74"] = 0.2296;
268 
+$values["-0.75"] = 0.2266;
269 
+$values["-0.76"] = 0.2236;
270 
+$values["-0.77"] = 0.2206;
271 
+$values["-0.78"] = 0.2177;
272 
+$values["-0.79"] = 0.2148;
273 
+
274 
+$values["-0.60"] = 0.2743;
275 
+$values["-0.61"] = 0.2709;
276 
+$values["-0.62"] = 0.2676;
277 
+$values["-0.63"] = 0.2643;
278 
+$values["-0.64"] = 0.2611;
279 
+$values["-0.65"] = 0.2578;
280 
+$values["-0.66"] = 0.2546;
281 
+$values["-0.67"] = 0.2514;
282 
+$values["-0.68"] = 0.2483;
283 
+$values["-0.69"] = 0.2451;
284 
+
285 
+$values["-0.50"] = 0.3085;
286 
+$values["-0.51"] = 0.305;
287 
+$values["-0.52"] = 0.3015;
288 
+$values["-0.53"] = 0.2981;
289 
+$values["-0.54"] = 0.2946;
290 
+$values["-0.55"] = 0.2912;
291 
+$values["-0.56"] = 0.2877;
292 
+$values["-0.57"] = 0.2843;
293 
+$values["-0.58"] = 0.281;
294 
+$values["-0.59"] = 0.2776;
295 
+
296 
+$values["-0.40"] = 0.3446;
297 
+$values["-0.41"] = 0.3409;
298 
+$values["-0.42"] = 0.3372;
299 
+$values["-0.43"] = 0.3336;
300 
+$values["-0.44"] = 0.33;
301 
+$values["-0.45"] = 0.3264;
302 
+$values["-0.46"] = 0.3228;
303 
+$values["-0.47"] = 0.3192;
304 
+$values["-0.48"] = 0.3156;
305 
+$values["-0.49"] = 0.3121;
306 
+
307 
+$values["-0.30"] = 0.3821;
308 
+$values["-0.31"] = 0.3783;
309 
+$values["-0.32"] = 0.3745;
310 
+$values["-0.33"] = 0.3707;
311 
+$values["-0.34"] = 0.3669;
312 
+$values["-0.35"] = 0.3632;
313 
+$values["-0.36"] = 0.3594;
314 
+$values["-0.37"] = 0.3557;
315 
+$values["-0.38"] = 0.352;
316 
+$values["-0.39"] = 0.3483;
317 
+
318 
+$values["-0.20"] = 0.4207;
319 
+$values["-0.21"] = 0.4168;
320 
+$values["-0.22"] = 0.4129;
321 
+$values["-0.23"] = 0.409;
322 
+$values["-0.24"] = 0.4052;
323 
+$values["-0.25"] = 0.4013;
324 
+$values["-0.26"] = 0.3974;
325 
+$values["-0.27"] = 0.3936;
326 
+$values["-0.28"] = 0.3897;
327 
+$values["-0.29"] = 0.3859;
328 
+
329 
+$values["-0.10"] = 0.4602;
330 
+$values["-0.11"] = 0.4562;
331 
+$values["-0.12"] = 0.4522;
332 
+$values["-0.13"] = 0.4483;
333 
+$values["-0.14"] = 0.4443;
334 
+$values["-0.15"] = 0.4404;
335 
+$values["-0.16"] = 0.4364;
336 
+$values["-0.17"] = 0.4325;
337 
+$values["-0.18"] = 0.4286;
338 
+$values["-0.19"] = 0.4247;
339 
+
340 
+$values["-0.00"] = 0.5;
341 
+$values["-0.01"] = 0.496;
342 
+$values["-0.02"] = 0.492;
343 
+$values["-0.03"] = 0.488;
344 
+$values["-0.04"] = 0.484;
345 
+$values["-0.05"] = 0.4801;
346 
+$values["-0.06"] = 0.4761;
347 
+$values["-0.07"] = 0.4721;
348 
+$values["-0.08"] = 0.4681;
349 
+$values["-0.09"] = 0.4641;
350 350
351 351 
 ?>
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