/**
* Esta función no está adaptada a bcmath pues se supone que los datos provenientes de la regresión tiene unos
* valores aceptables dentro de los rangos de valores de las variables de PHP
*
* @param $image
* @param int $colorPoints
* @param int $colorLine
* @param int $colorFormula
* @param int $x
* @param int $y
* @param int $x1
* @param int $y1
* @param MatrixBase $matrixX
* @param MatrixBase $matrixY
*/
private function drawDotPlot($image, $colorPoints, $colorLine, $colorFormula, $x, $y, $x1, $y1, MatrixBase $matrixX, MatrixBase $matrixY)
{
$width = $x1 - $x;
$height = $y1 - $y;
$arrayX = $matrixX->getArray();
$minX = min($arrayX[1]);
$maxX = max($arrayX[1]);
$arrayY = $matrixY->getArray();
$minY = min($arrayY[1]);
$maxY = max($arrayY[1]);
$data = $this->regressionSimple($matrixX, $matrixY);
$minY = min($minY, $data['B0'] + $data['B1'] * $minX);
$minY = min($minY, $data['B0'] + $data['B1'] * $maxX);
$maxY = max($maxY, $data['B0'] + $data['B1'] * $minX);
$maxY = max($maxY, $data['B0'] + $data['B1'] * $maxX);
$factorX = $width / abs($maxX - $minX);
$factorY = $height / abs($maxY - $minY);
for ($abscisas = 1; $abscisas <= $matrixX->getNumCols(); $abscisas++) {
$posX = $x + ($arrayX[1][$abscisas] - $minX) * $factorX;
$posY = $y1 - ($arrayY[1][$abscisas] - $minY) * $factorY;
imagesetpixel($image, $posX, $posY, $colorPoints);
imagesetpixel($image, $posX + 1, $posY, $colorPoints);
imagesetpixel($image, $posX, $posY + 1, $colorPoints);
imagesetpixel($image, $posX + 1, $posY + 1, $colorPoints);
}
$posX1 = $x + ($minX - $minX) * $factorX;
$posY1 = $y1 - ($data['B0'] + $data['B1'] * $minX - $minY) * $factorY;
$posX2 = $x + ($maxX - $minX) * $factorX;
$posY2 = $y1 - ($data['B0'] + $data['B1'] * $maxX - $minY) * $factorY;
imageline($image, $posX1, $posY1, $posX2, $posY2, $colorLine);
$this->imageTextCentered($image, $colorFormula, 0, $this->fontSize / 3, $this->fontName, $x, $y, $x1, $y1, 'y=' . round($data['B0'], 3) . '+' . round($data['B1'], 3) . "x\nR2=" . round($data['r2'], 3));
}
