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<?php
require_once($ADEI_ROOTDIR . "/classes/jpgraph.php");
abstract class BASEHistogramView extends VIEW {
function __construct(REQUEST $req = NULL, $options) {
parent::__construct($req, $options);
$this->num_bins = $this->GetOption('bins', array(0));
$this->min_width = $this->GetOption('min_width', 300);
$this->min_height = $this->GetOption('min_height', 300);
}
function GetHistOptions() {
$bins = array();
foreach ($this->num_bins as $bin) {
array_push($bins, array("value" => $bin, "label" => ($bin?$bin:"Auto")));
}
$checkboxNorm = array("label" => _("Normalize"), "id" => "hist_norm");
if ($this->req->GetProp("view_hist_norm", 0)) $checkboxNorm["checked"] = "checked";
$checkboxGFit = array("label" => _("Gaussian Fit"), "id" => "hist_fit");
if ($this->req->GetProp("view_hist_fit", 0)) $checkboxGFit["checked"] = "checked";
return array(
array("select" => array("id" => "bins" , "label" => _("Bins"), "options" => $bins)),
array("xml"=>"<br/>"),
array("checkbox" => $checkboxNorm),
array("checkbox" => $checkboxGFit),
);
}
function GetHistView(&$x) {
global $TMP_PATH;
if (!$x)
throw new ADEIException(translate("No data found"));
$tmp_file = ADEI::GetTmpFile();
$width = $this->width;
$height = $this->height;
$bins = $this->req->GetProp("view_bins", 0);
if (!$bins) $bins = ceil(sqrt(sizeof($x)));
$norm = $this->req->GetProp("view_hist_norm", 0);
$fit = $this->req->GetProp("view_hist_fit", 0);
$min = min($x);
$max = max($x);
$step = ($max - $min) / $bins;
$coef = $norm?(1/($step * sizeof($x))):1;
$h = array_fill(0, $bins, 0);
foreach ($x as $val) {
$idx = ($val - $min)/$step;
if ($idx == $bins) $idx--;
$h[$idx] += $coef;
}
$t = array();
for($i = 0 ; $i < $bins ; $i++)
array_push($t, sprintf("%3.1e", $min + $i*$step));
$graph = new Graph($width,$height);
$graph->SetTickDensity(TICKD_SPARSE, TICKD_SPARSE);
$graph->img->SetMargin(55,5,10,20);
$graph->SetScale("textlin");
$graph->xaxis->SetPos("min");
$graph->yaxis->SetPos("min");
$graph->xaxis->SetFont(FF_ARIAL,FS_NORMAL,8);
$graph->yaxis->SetFont(FF_ARIAL,FS_NORMAL,8);
$graph->xaxis->title->SetFont(FF_ARIAL,FS_BOLD);
$graph->yaxis->title->SetFont(FF_ARIAL,FS_BOLD);
if($bins > 8) $graph->xaxis->SetTextLabelInterval(ceil(($bins / 6)));
$graph->xaxis->SetTickLabels($t);
$bplot = new BarPlot($h);
$bplot->SetWidth(1);
$graph->Add($bplot);
$graph->yaxis->scale->SetGrace(14);
$mean = array_sum($x)/sizeof($x);
$stddev = stats_standard_deviation($x);
$var = stats_variance($x);
$sigma = sqrt($var);
$re = 100 * $sigma/$mean;
sort($x);
if (sizeof($x) % 2)
$median = $x[(sizeof($x) - 1)/2];
else
$median = ($x[sizeof($x)/2 - 1] + $x[sizeof($x)/2])/2;
// Gaussian fitting
if ($fit) {
$ydata = array();
$xdata = array();
if ($norm) $coef = (1/(sqrt(2 * pi() * $var)));
else $coef = ((sizeof($x)*$step)/(sqrt(2 * pi() * $var)));
$xi2 = 0;
for($i = 0; $i <= $bins; $i++) {
$offset = $i * $step;
$y = $coef * exp(-pow($min + $offset - $mean, 2)/(2*$var));
array_push($xdata, $i);
array_push($ydata, $y);
$xi2 += (pow($y - $h[$i], 2)) / $y;
}
$xi2 /= $bins;
$lineplot = new LinePlot($ydata , $xdata);
$graph->Add($lineplot);
}
$char_sigma = SymChar::Get('sigma', false);
$graph->Stroke("$TMP_PATH/$tmp_file");
if ($this->object) {
$res = array(
array("img" => array("id" => $tmp_file)),
array("info" => array(
array("title"=>_("Bins"), "value" => $bins),
array("title"=>_("First Bin"), "value" => $min),
array("title"=>_("Last Bin"), "value" => $min + $bins * $step),
array("title"=>_("Mean"), "value" => $mean),
array("title"=>_("Median"), "value" => $median),
array("title"=>_("StdDev"), "value" => $stddev),
array("title"=>_("Sigma"), "value" => $sigma),
array("title"=>_("RE"), "value" => ($re . "%")),
))
);
if ($fit) {
array_push($res[1]["info"], array("title"=>_("xi2"), "value" => $xi2));
}
return $res;
} else {
return array(
"img" => array("id" => $tmp_file)
);
}
return $res;
}
}
?>
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