How to use median method of pts_math class

Best Phoronix-test-suite code snippet using pts_math.median

pts_result_file_output.php

Source:pts_result_file_output.php Github

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...497 $hib = $ro->test_profile->get_result_proportion() == 'HIB';498 $row[0] = '<span><strong><a href="#r-' . $ro->get_comparison_hash(true, false) . '">' . $ro->test_profile->get_title() . '</a></strong><br />' . $ro->get_arguments_description_shortened(($systems_count > 11 ? true : false)) . ' (' . $ro->test_profile->get_result_scale_shortened() . ' ' . ($hib ? '&uarr;' : '&darr;') . ' )</span>';499 $best = $ro->get_result_first(false);500 $worst = $ro->get_result_last(false);501 $median = $ro->test_result_buffer->get_median();502 $normalize_against = 0;503 if(isset($extra_attributes['highlight_graph_values']) && is_array($extra_attributes['highlight_graph_values']) && count($extra_attributes['highlight_graph_values']) == 1)504 {505 $normalize_against = $ro->get_result_value_from_name($extra_attributes['highlight_graph_values'][0]);506 }507 if($normalize_against == 0)508 {509 $normalize_against = $best;510 }511 $result_buffer_count = $ro->test_result_buffer->get_count();512 foreach($ro->test_result_buffer->get_buffer_items() as $index => $buffer_item)513 {514 $identifier = $buffer_item->get_result_identifier();515 $value = $buffer_item->get_result_value();516 if(($x = array_search($identifier, $systems)) !== false)517 {518 $style = null;519 if($result_buffer_count > 1)520 {521 if($value == $best)522 {523 $style = ' style="font-weight: bold; color: #009900;"';524 }525 else if($value == $worst)526 {527 $style = ' style="font-weight: bold; color: #FF0000;"';528 }529 /* else if($hib && $value > $median)530 {531 $style = ' style="color: ' . pts_graph_core::shift_color('#009900', (($value - $median) / ($best - $median))) . ';"';532 }533 else if($hib && $value < ($best - $median))534 {535 $style = ' style="color: ' . pts_graph_core::shift_color('#FF0000', 1 - (abs($value - $median) / abs($best - $median))) . ';"';536 } */537 }538 if($value > 1000)539 {540 $value = round($value);541 }542 if($value == 0)543 {544 continue;545 }546 $row[$x] = '<span' . $style. '>' . round($value, 2) . '</span>';547 $nor[$x] = round(($hib ? ($value / $normalize_against) : ($normalize_against / $value)) * 100, 2) . '%';548 $samples[$x] = $buffer_item->get_sample_count();549 if($samples[$x] > 1)...

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pts_graph_box_plot.php

Source:pts_graph_box_plot.php Github

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...89 $avg_text = 'Median';90 $avg_value = $values[50];91 $whisker_bottom = $values[2];92 $whisker_top = $values[98];93 $median = $values[50];94 $p_25 = $values[25];95 $p_75 = $values[75];96 $unique_values = array();97 $min_value = round(min($values), 2);98 $max_value = round(max($values), 2);99 }100 else101 {102 // sort values now as optimization rather than in find_percentile103 sort($values, SORT_NUMERIC);104 $avg_value = round(pts_math::arithmetic_mean($values), 2);105 $whisker_bottom = pts_math::find_percentile($values, 0.02, true);106 $whisker_top = pts_math::find_percentile($values, 0.98, true);107 $median = pts_math::find_percentile($values, 0.5, true);108 $p_25 = pts_math::find_percentile($values, 0.25, true);109 $p_75 = pts_math::find_percentile($values, 0.75, true);110 $unique_values = array_unique($values);111 $min_value = round(min($unique_values), 2);112 $max_value = round(max($unique_values), 2);113 }114 $value_end_left = $this->i['left_start'] + max(1, round(($whisker_bottom / $this->i['graph_max_value']) * $work_area_width));115 $value_end_right = $this->i['left_start'] + round(($whisker_top / $this->i['graph_max_value']) * $work_area_width);116 // if identifier is 0, not a multi-way comparison or anything special117 if($identifier == 0 && !$this->i['is_multi_way_comparison'])118 {119 // See if the result identifier matches something to be color-coded better120 $box_color = self::identifier_to_branded_color($buffer_item->get_result_identifier(), $paint_color);121 }122 else123 {124 $box_color = $paint_color;125 }126 $box_color = $this->adjust_color($buffer_item->get_result_identifier(), $box_color);127 $this->svg_dom->add_element('line', array('x1' => $value_end_left, 'y1' => $middle_of_bar, 'x2' => $value_end_right, 'y2' => $middle_of_bar), $g_lines);128 $this->svg_dom->add_element('line', array('x1' => $value_end_left, 'y1' => $px_bound_top, 'x2' => $value_end_left, 'y2' => $px_bound_bottom), $g_lines);129 $this->svg_dom->add_element('line', array('x1' => $value_end_right, 'y1' => $px_bound_top, 'x2' => $value_end_right, 'y2' => $px_bound_bottom), $g_lines);130 $box_left = $this->i['left_start'] + round(($p_25 / $this->i['graph_max_value']) * $work_area_width);131 $box_middle = $this->i['left_start'] + round(($median / $this->i['graph_max_value']) * $work_area_width);132 $box_right = $this->i['left_start'] + round(($p_75 / $this->i['graph_max_value']) * $work_area_width);133 $this->svg_dom->add_element('rect', array('x' => $box_left, 'y' => $px_bound_top, 'width' => ($box_right - $box_left), 'height' => $bar_height, 'fill' => $box_color), $g_bars);134 $this->svg_dom->add_element('line', array('x1' => $box_middle, 'y1' => $px_bound_top, 'x2' => $box_middle, 'y2' => $px_bound_bottom), $g_overtop);135 $this->svg_dom->add_text_element('Min: ' . $min_value . ' / ' . $avg_text . ': ' . $avg_value . ' / Max: ' . $max_value, array('x' => ($this->i['left_start'] - 5), 'y' => ceil($px_bound_top + ($bar_height * 0.8) + 6)), $g_text);136 foreach($unique_values as &$val)137 {138 if(($val < $whisker_bottom || $val > $whisker_top) && $val > 0.1)139 {140 $this->svg_dom->add_element('circle', array('cx' => $this->i['left_start'] + round(($val / $this->i['graph_max_value']) * $work_area_width), 'cy' => $middle_of_bar, 'r' => 1), $g_circles);141 }142 }143 }144 }145 // write a new line along the bottom since the draw_rectangle_with_border above had written on top of it...

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median

Using AI Code Generation

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1$pts = new pts_math;2$pts->set_data($data);3echo $pts->median();4$pts = new pts_math;5$pts->set_data($data);6echo $pts->mode();7$pts = new pts_math;8$pts->set_data($data);9echo $pts->range();10$pts = new pts_math;11$pts->set_data($data);12echo $pts->variance();13$pts = new pts_math;14$pts->set_data($data);15echo $pts->standard_deviation();16$pts = new pts_math;17$pts->set_data($data);18echo $pts->standard_error();19$pts = new pts_math;20$pts->set_data($data);21echo $pts->covariance();22$pts = new pts_math;23$pts->set_data($data);24echo $pts->correlation();25$pts = new pts_math;26$pts->set_data($data);27echo $pts->z_score();28$pts = new pts_math;29$pts->set_data($data);30echo $pts->z_score();31$pts = new pts_math;32$pts->set_data($data);33echo $pts->z_score();34$pts = new pts_math;35$pts->set_data($data);36echo $pts->z_score();37$pts = new pts_math;

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median

Using AI Code Generation

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1require('pts_math.php');2$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);3$median = pts_math::median($pts);4echo $median;5require('pts_math.php');6$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);7$mean = pts_math::mean($pts);8echo $mean;9require('pts_math.php');10$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);11$mode = pts_math::mode($pts);12echo $mode;13require('pts_math.php');14$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);15$variance = pts_math::variance($pts);16echo $variance;17require('pts_math.php');18$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);19$std_dev = pts_math::std_dev($pts);20echo $std_dev;21require('pts_math.php');22$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);23$z_score = pts_math::z_score($pts);24echo $z_score;25require('pts_math.php');26$pts = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);27$range = pts_math::range($pts);28echo $range;

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median

Using AI Code Generation

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1require_once('pts_math.php');2$pts = new pts_math();3$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));4echo $pts->median();5require_once('pts_math.php');6$pts = new pts_math();7$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));8echo $pts->mode();9require_once('pts_math.php');10$pts = new pts_math();11$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));12echo $pts->range();13require_once('pts_math.php');14$pts = new pts_math();15$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));16echo $pts->standard_deviation();17require_once('pts_math.php');18$pts = new pts_math();19$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));20echo $pts->variance();21require_once('pts_math.php');22$pts = new pts_math();23$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));24echo $pts->mean();25require_once('pts_math.php');26$pts = new pts_math();27$pts->set_data(array(1,2,3,4,5,6,7,8,9,10));28echo $pts->sum();29require_once('pts_math.php');30$pts = new pts_math();31$pts->set_data(array(1,2,3,4,5,6,7,

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median

Using AI Code Generation

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1require_once('pts_math.php');2$myarray = array(1, 2, 3, 4, 5, 6);3$median = pts_math::median($myarray);4echo "Median is $median";5require_once('pts_math.php');6$myarray = array(1, 2, 3, 4, 5, 6, 6);7$mode = pts_math::mode($myarray);8echo "Mode is $mode";9require_once('pts_math.php');10$myarray = array(1, 2, 3, 4, 5, 6);11$std_deviation = pts_math::standard_deviation($myarray);12echo "Standard deviation is $std_deviation";13require_once('pts_math.php');14$myarray = array(1, 2, 3, 4, 5, 6);15$std_error = pts_math::standard_error($myarray);16echo "Standard error is $std_error";17require_once('pts_math.php');18$myarray = array(1, 2, 3, 4, 5, 6);19$variance = pts_math::variance($myarray);20echo "Variance is $variance";21require_once('pts_math.php');22$myarray = array(1, 2, 3, 4, 5, 6);23$mean = pts_math::mean($myarray);24echo "Mean is $mean";25require_once('pts_math.php');26$myarray = array(1, 2, 3, 4, 5, 6);27$geometric_mean = pts_math::geometric_mean($myarray);28echo "Geometric mean is $geometric_mean";29require_once('pts_math

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median

Using AI Code Generation

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1include_once("pts_math.php");2$math = new pts_math();3$math->set_data($data);4echo $math->get_median();5include_once("pts_math.php");6$math = new pts_math();7$math->set_data($data);8echo $math->get_mode();9include_once("pts_math.php");10$math = new pts_math();11$math->set_data($data);12echo $math->get_range();13include_once("pts_math.php");14$math = new pts_math();15$math->set_data($data);16echo $math->get_variance();17include_once("pts_math.php");18$math = new pts_math();19$math->set_data($data);20echo $math->get_standard_deviation();21include_once("pts_math.php");22$math = new pts_math();23$math->set_data($data);24echo $math->get_z_score();25include_once("pts_math.php");26$math = new pts_math();27$math->set_data($data);28echo $math->get_coefficient_variation();29include_once("pts_math.php");30$math = new pts_math();31$math->set_data($data);32echo $math->get_coefficient_determination();33include_once("pts_math.php");34$math = new pts_math();35$math->set_data($data);36echo $math->get_correlation_coefficient();37include_once("pts_math.php");38$math = new pts_math();39$math->set_data($data);40echo $math->get_linear_regression();41include_once("pts_math.php");

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median

Using AI Code Generation

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1require_once('pts_math.php');2$pts = new pts_math();3$vals = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);4$med = $pts->median($vals);5echo $med;6require_once('pts_math.php');7$pts = new pts_math();8$vals = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);9$mode = $pts->mode($vals);10echo $mode;11require_once('pts_math.php');12$pts = new pts_math();13$vals = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);14$range = $pts->range($vals);15echo $range;16require_once('pts_math.php');17$pts = new pts_math();18$vals = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);19$var = $pts->variance($vals);20echo $var;21require_once('pts_math.php');22$pts = new pts_math();23$vals = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);24$std = $pts->std_dev($vals);25echo $std;

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median

Using AI Code Generation

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1$math = new pts_math();2$math->set_method('median');3$math->add_data($data);4$result = $math->get_result();5echo $result;6$math = new pts_math();7$math->set_method('mean');8$math->add_data($data);9$result = $math->get_result();10echo $result;11$math = new pts_math();12$math->set_method('mode');13$math->add_data($data);14$result = $math->get_result();15echo $result;16$math = new pts_math();17$math->set_method('range');18$math->add_data($data);19$result = $math->get_result();20echo $result;21$math = new pts_math();22$math->set_method('variance');23$math->add_data($data);24$result = $math->get_result();25echo $result;26$math = new pts_math();27$math->set_method('standard_deviation');28$math->add_data($data);29$result = $math->get_result();30echo $result;31$math = new pts_math();32$math->set_method('standard_error');33$math->add_data($data);34$result = $math->get_result();35echo $result;36$math = new pts_math();

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