@@ -23,11 +23,11 @@ |
||
23 | 23 | * @package Math_Stats |
24 | 24 | */ |
25 | 25 | |
26 | -require_once __DIR__ . '/../../vendor/autoload.php'; |
|
26 | +require_once __DIR__.'/../../vendor/autoload.php'; |
|
27 | 27 | |
28 | 28 | // making some data sets |
29 | -$data = array (2,2.3,4.5,2,2,3.2,5.3,3,4,5,1,6); |
|
30 | -$dnulls = array (1.1650,null, "foo",0.6268, 0.6268, 0.0751, 0.3516, -0.6965); |
|
29 | +$data = array(2, 2.3, 4.5, 2, 2, 3.2, 5.3, 3, 4, 5, 1, 6); |
|
30 | +$dnulls = array(1.1650, null, "foo", 0.6268, 0.6268, 0.0751, 0.3516, -0.6965); |
|
31 | 31 | |
32 | 32 | // instantiating a Math_Stats object |
33 | 33 | $s = new \PEAR\Math\Stats(); |
@@ -1,6 +1,6 @@ |
||
1 | 1 | <?php |
2 | 2 | //require_once 'Math/Stats.php'; |
3 | - require_once __DIR__ . '/../../vendor/autoload.php'; |
|
3 | + require_once __DIR__.'/../../vendor/autoload.php'; |
|
4 | 4 | |
5 | 5 | |
6 | 6 | $data = array(); |
@@ -23,7 +23,7 @@ discard block |
||
23 | 23 | * @package Math_Stats |
24 | 24 | */ |
25 | 25 | |
26 | -require_once __DIR__ . '/../../vendor/autoload.php'; |
|
26 | +require_once __DIR__.'/../../vendor/autoload.php'; |
|
27 | 27 | |
28 | 28 | |
29 | 29 | // making some cummulative data sets |
@@ -46,7 +46,7 @@ discard block |
||
46 | 46 | print_r($dnulls); |
47 | 47 | echo "Generating an error by using data with nulls\n"; |
48 | 48 | try { |
49 | - print_r($s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE)); |
|
49 | + print_r($s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE)); |
|
50 | 50 | } catch (\Exception $e) { |
51 | 51 | echo "\n\t Exception: ".$e->getMessage()."\n\n"; |
52 | 52 | } |
@@ -54,8 +54,8 @@ discard block |
||
54 | 54 | |
55 | 55 | // let's ignore nulls |
56 | 56 | echo "Ignoring the nulls and trying again\n"; |
57 | -$s->setNullOption( \PEAR\Math\Stats::STATS_IGNORE_NULL); |
|
58 | -$s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE); |
|
57 | +$s->setNullOption(\PEAR\Math\Stats::STATS_IGNORE_NULL); |
|
58 | +$s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE); |
|
59 | 59 | try { |
60 | 60 | print_r($s->calcBasic()); |
61 | 61 | } catch (\Exception $e) { |
@@ -64,8 +64,8 @@ discard block |
||
64 | 64 | |
65 | 65 | // let's assume null == zero |
66 | 66 | echo "Assuming that nulls are zero\n"; |
67 | -$s->setNullOption( \PEAR\Math\Stats::STATS_USE_NULL_AS_ZERO); |
|
68 | -$s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE); |
|
67 | +$s->setNullOption(\PEAR\Math\Stats::STATS_USE_NULL_AS_ZERO); |
|
68 | +$s->setData($dnulls, \PEAR\Math\Stats::STATS_DATA_CUMMULATIVE); |
|
69 | 69 | try { |
70 | 70 | print_r($s->calcFull()); |
71 | 71 | } catch (\Exception $e) { |
@@ -1,12 +1,12 @@ discard block |
||
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 |
||
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 |
@@ -1,11 +1,11 @@ discard block |
||
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 |
||
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 | $h->setType(\PEAR\Histogram\AbstractHistogram::HISTOGRAM_CUMMULATIVE); |
@@ -1,12 +1,12 @@ discard block |
||
1 | 1 | <?php |
2 | 2 | |
3 | -require_once __DIR__ . '/../../vendor/autoload.php'; |
|
3 | +require_once __DIR__.'/../../vendor/autoload.php'; |
|
4 | 4 | |
5 | 5 | // let's generate some data |
6 | -for ($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 |
||
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); |
@@ -1,12 +1,12 @@ discard block |
||
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 |
||
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 |
@@ -116,7 +116,7 @@ discard block |
||
116 | 116 | $this->_stats = new \HuasoFoundries\Math\Stats(); |
117 | 117 | |
118 | 118 | $this->_statsMode = $statsMode; |
119 | - $delta = ($this->_rangeHigh - $this->_rangeLow) / $this->_nbins; |
|
119 | + $delta = ($this->_rangeHigh - $this->_rangeLow)/$this->_nbins; |
|
120 | 120 | $lastpos = 0; |
121 | 121 | $cumm = 0; |
122 | 122 | $data = $this->_histogramData(); |
@@ -124,11 +124,11 @@ discard block |
||
124 | 124 | $ignoreList = array(); |
125 | 125 | |
126 | 126 | for ($i = 0; $i < $this->_nbins; $i++) { |
127 | - $loBin = $this->_rangeLow + $i * $delta; |
|
127 | + $loBin = $this->_rangeLow + $i*$delta; |
|
128 | 128 | $hiBin = $loBin + $delta; |
129 | 129 | $this->_bins[$i]["low"] = $loBin; |
130 | 130 | $this->_bins[$i]["high"] = $hiBin; |
131 | - $this->_bins[$i]["mid"] = ($hiBin + $loBin) / 2; |
|
131 | + $this->_bins[$i]["mid"] = ($hiBin + $loBin)/2; |
|
132 | 132 | if ($this->_type == self::HISTOGRAM_CUMMULATIVE) { |
133 | 133 | $this->_bins[$i]["count"] = $cumm; |
134 | 134 | } else { |
@@ -217,7 +217,7 @@ discard block |
||
217 | 217 | $out[] = "{$bin}{$separator}{$freq}"; |
218 | 218 | } |
219 | 219 | |
220 | - return implode("\n", $out) . "\n"; |
|
220 | + return implode("\n", $out)."\n"; |
|
221 | 221 | } |
222 | 222 | |
223 | 223 | /** |
@@ -279,11 +279,11 @@ discard block |
||
279 | 279 | throw new \PEAR_Exception("histogram has not been calculated"); |
280 | 280 | } |
281 | 281 | $out = ($this->_type == self::HISTOGRAM_CUMMULATIVE) ? "Cummulative Frequency" : "Histogram"; |
282 | - $out .= "\n\tNumber of bins: " . $this->_nbins . "\n"; |
|
283 | - $out .= "\tPlot range: [" . $this->_rangeLow . ", " . $this->_rangeHigh . "]\n"; |
|
282 | + $out .= "\n\tNumber of bins: ".$this->_nbins."\n"; |
|
283 | + $out .= "\tPlot range: [".$this->_rangeLow.", ".$this->_rangeHigh."]\n"; |
|
284 | 284 | $hdata = $this->_histogramData(); |
285 | - $out .= "\tData range: [" . min($hdata) . ", " . max($hdata) . "]\n"; |
|
286 | - $out .= "\tOriginal data range: [" . min($this->_data) . ", " . max($this->_data) . "]\n"; |
|
285 | + $out .= "\tData range: [".min($hdata).", ".max($hdata)."]\n"; |
|
286 | + $out .= "\tOriginal data range: [".min($this->_data).", ".max($this->_data)."]\n"; |
|
287 | 287 | $out .= "BIN (FREQUENCY) ASCII_BAR (%)\n"; |
288 | 288 | $fmt = "%-4.3f (%-4d) |%s\n"; |
289 | 289 | $bins = $this->_filterBins($mode); |
@@ -308,14 +308,14 @@ discard block |
||
308 | 308 | public function _bar($freq, $maxfreq, $total) |
309 | 309 | { |
310 | 310 | |
311 | - $fact = floatval(($maxfreq > 40) ? 40 / $maxfreq : 1); |
|
312 | - $niter = round($freq * $fact); |
|
311 | + $fact = floatval(($maxfreq > 40) ? 40/$maxfreq : 1); |
|
312 | + $niter = round($freq*$fact); |
|
313 | 313 | $out = ""; |
314 | 314 | for ($i = 0; $i < $niter; $i++) { |
315 | 315 | $out .= "*"; |
316 | 316 | } |
317 | 317 | |
318 | - return $out . sprintf(" (%.1f%%)", $freq / $total * 100); |
|
318 | + return $out.sprintf(" (%.1f%%)", $freq/$total*100); |
|
319 | 319 | |
320 | 320 | } |
321 | 321 |
@@ -112,8 +112,8 @@ discard block |
||
112 | 112 | $this->_bins = array(); |
113 | 113 | $this->_stats = array('x' => new \HuasoFoundries\Math\Stats(), 'y' => new \HuasoFoundries\Math\Stats()); |
114 | 114 | $this->_statsMode = $statsMode; |
115 | - $deltaX = ($this->_rangeHigh['x'] - $this->_rangeLow['x']) / $this->_nbins['x']; |
|
116 | - $deltaY = ($this->_rangeHigh['y'] - $this->_rangeLow['y']) / $this->_nbins['y']; |
|
115 | + $deltaX = ($this->_rangeHigh['x'] - $this->_rangeLow['x'])/$this->_nbins['x']; |
|
116 | + $deltaY = ($this->_rangeHigh['y'] - $this->_rangeLow['y'])/$this->_nbins['y']; |
|
117 | 117 | $data = $this->_histogramData(); |
118 | 118 | //$dataX = $this->_data['x']; |
119 | 119 | //$dataY = $this->_data['y']; |
@@ -123,15 +123,15 @@ discard block |
||
123 | 123 | $cumm = 0; |
124 | 124 | $nData = count($dataX); |
125 | 125 | for ($i = 0; $i < $this->_nbins['x']; $i++) { |
126 | - $loXBin = $this->_rangeLow['x'] + $i * $deltaX; |
|
126 | + $loXBin = $this->_rangeLow['x'] + $i*$deltaX; |
|
127 | 127 | $hiXBin = $loXBin + $deltaX; |
128 | 128 | $xBin = array('low' => $loXBin, 'high' => $hiXBin, |
129 | - 'mid' => ($hiXBin + $loXBin) / 2); |
|
129 | + 'mid' => ($hiXBin + $loXBin)/2); |
|
130 | 130 | for ($j = 0; $j < $this->_nbins['y']; $j++) { |
131 | - $loYBin = $this->_rangeLow['y'] + $j * $deltaY; |
|
131 | + $loYBin = $this->_rangeLow['y'] + $j*$deltaY; |
|
132 | 132 | $hiYBin = $loYBin + $deltaY; |
133 | 133 | $yBin = array('low' => $loYBin, 'high' => $hiYBin, |
134 | - 'mid' => ($hiYBin + $loYBin) / 2); |
|
134 | + 'mid' => ($hiYBin + $loYBin)/2); |
|
135 | 135 | $bin = array('x' => $xBin, 'y' => $yBin); |
136 | 136 | $freq = 0; |
137 | 137 | for ($k = 0; $k < $nData; $k++) { |
@@ -240,7 +240,7 @@ discard block |
||
240 | 240 | $out[] = implode($separator, $bins[$i]); |
241 | 241 | } |
242 | 242 | |
243 | - return implode("\n", $out) . "\n"; |
|
243 | + return implode("\n", $out)."\n"; |
|
244 | 244 | } |
245 | 245 | |
246 | 246 | /** |
@@ -300,7 +300,7 @@ discard block |
||
300 | 300 | && is_array($binOptions['low']) |
301 | 301 | && is_array($binOptions['high']) |
302 | 302 | && is_array($binOptions['nbins'])); |
303 | - if(!$barray) { |
|
303 | + if (!$barray) { |
|
304 | 304 | return false; |
305 | 305 | } |
306 | 306 | $low = $binOptions['low']; |