1
|
|
|
<?php |
2
|
|
|
|
3
|
|
|
namespace PhpOffice\PhpSpreadsheet\Shared\Trend; |
4
|
|
|
|
5
|
|
|
use PhpOffice\PhpSpreadsheet\Exception as SpreadsheetException; |
6
|
|
|
|
7
|
|
|
class Trend |
8
|
|
|
{ |
9
|
|
|
const TREND_LINEAR = 'Linear'; |
10
|
|
|
const TREND_LOGARITHMIC = 'Logarithmic'; |
11
|
|
|
const TREND_EXPONENTIAL = 'Exponential'; |
12
|
|
|
const TREND_POWER = 'Power'; |
13
|
|
|
const TREND_POLYNOMIAL_2 = 'Polynomial_2'; |
14
|
|
|
const TREND_POLYNOMIAL_3 = 'Polynomial_3'; |
15
|
|
|
const TREND_POLYNOMIAL_4 = 'Polynomial_4'; |
16
|
|
|
const TREND_POLYNOMIAL_5 = 'Polynomial_5'; |
17
|
|
|
const TREND_POLYNOMIAL_6 = 'Polynomial_6'; |
18
|
|
|
const TREND_BEST_FIT = 'Bestfit'; |
19
|
|
|
const TREND_BEST_FIT_NO_POLY = 'Bestfit_no_Polynomials'; |
20
|
|
|
|
21
|
|
|
/** |
22
|
|
|
* Names of the best-fit Trend analysis methods. |
23
|
|
|
*/ |
24
|
|
|
private const TREND_TYPES = [ |
25
|
|
|
self::TREND_LINEAR, |
26
|
|
|
self::TREND_LOGARITHMIC, |
27
|
|
|
self::TREND_EXPONENTIAL, |
28
|
|
|
self::TREND_POWER, |
29
|
|
|
]; |
30
|
|
|
|
31
|
|
|
/** |
32
|
|
|
* Names of the best-fit Trend polynomial orders. |
33
|
|
|
* |
34
|
|
|
* @var string[] |
35
|
|
|
*/ |
36
|
|
|
private static array $trendTypePolynomialOrders = [ |
37
|
|
|
self::TREND_POLYNOMIAL_2, |
38
|
|
|
self::TREND_POLYNOMIAL_3, |
39
|
|
|
self::TREND_POLYNOMIAL_4, |
40
|
|
|
self::TREND_POLYNOMIAL_5, |
41
|
|
|
self::TREND_POLYNOMIAL_6, |
42
|
|
|
]; |
43
|
|
|
|
44
|
|
|
/** |
45
|
|
|
* Cached results for each method when trying to identify which provides the best fit. |
46
|
|
|
* |
47
|
|
|
* @var BestFit[] |
48
|
|
|
*/ |
49
|
|
|
private static array $trendCache = []; |
50
|
|
|
|
51
|
51 |
|
public static function calculate(string $trendType = self::TREND_BEST_FIT, array $yValues = [], array $xValues = [], bool $const = true): BestFit |
52
|
|
|
{ |
53
|
|
|
// Calculate number of points in each dataset |
54
|
51 |
|
$nY = count($yValues); |
55
|
51 |
|
$nX = count($xValues); |
56
|
|
|
|
57
|
|
|
// Define X Values if necessary |
58
|
51 |
|
if ($nX === 0) { |
59
|
|
|
$xValues = range(1, $nY); |
60
|
51 |
|
} elseif ($nY !== $nX) { |
61
|
|
|
// Ensure both arrays of points are the same size |
62
|
1 |
|
throw new SpreadsheetException('Trend(): Number of elements in coordinate arrays do not match.'); |
63
|
|
|
} |
64
|
|
|
|
65
|
51 |
|
$key = md5($trendType . $const . serialize($yValues) . serialize($xValues)); |
66
|
|
|
// Determine which Trend method has been requested |
67
|
|
|
switch ($trendType) { |
68
|
|
|
// Instantiate and return the class for the requested Trend method |
69
|
|
|
case self::TREND_LINEAR: |
70
|
|
|
case self::TREND_LOGARITHMIC: |
71
|
|
|
case self::TREND_EXPONENTIAL: |
72
|
|
|
case self::TREND_POWER: |
73
|
51 |
|
if (!isset(self::$trendCache[$key])) { |
74
|
37 |
|
$className = '\PhpOffice\PhpSpreadsheet\Shared\Trend\\' . $trendType . 'BestFit'; |
75
|
37 |
|
self::$trendCache[$key] = new $className($yValues, $xValues, $const); |
76
|
|
|
} |
77
|
|
|
|
78
|
51 |
|
return self::$trendCache[$key]; |
79
|
|
|
case self::TREND_POLYNOMIAL_2: |
80
|
|
|
case self::TREND_POLYNOMIAL_3: |
81
|
|
|
case self::TREND_POLYNOMIAL_4: |
82
|
|
|
case self::TREND_POLYNOMIAL_5: |
83
|
|
|
case self::TREND_POLYNOMIAL_6: |
84
|
|
|
if (!isset(self::$trendCache[$key])) { |
85
|
|
|
$order = (int) substr($trendType, -1); |
86
|
|
|
self::$trendCache[$key] = new PolynomialBestFit($order, $yValues, $xValues); |
87
|
|
|
} |
88
|
|
|
|
89
|
|
|
return self::$trendCache[$key]; |
90
|
|
|
case self::TREND_BEST_FIT: |
91
|
|
|
case self::TREND_BEST_FIT_NO_POLY: |
92
|
|
|
// If the request is to determine the best fit regression, then we test each Trend line in turn |
93
|
|
|
// Start by generating an instance of each available Trend method |
94
|
1 |
|
$bestFit = []; |
95
|
1 |
|
$bestFitValue = []; |
96
|
1 |
|
foreach (self::TREND_TYPES as $trendMethod) { |
97
|
1 |
|
$className = '\PhpOffice\PhpSpreadsheet\Shared\Trend\\' . $trendMethod . 'BestFit'; |
98
|
1 |
|
$bestFit[$trendMethod] = new $className($yValues, $xValues, $const); |
99
|
1 |
|
$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); |
100
|
|
|
} |
101
|
1 |
|
if ($trendType !== self::TREND_BEST_FIT_NO_POLY) { |
102
|
1 |
|
foreach (self::$trendTypePolynomialOrders as $trendMethod) { |
103
|
1 |
|
$order = (int) substr($trendMethod, -1); |
104
|
1 |
|
$bestFit[$trendMethod] = new PolynomialBestFit($order, $yValues, $xValues); |
105
|
|
|
if ($bestFit[$trendMethod]->getError()) { |
106
|
|
|
unset($bestFit[$trendMethod]); |
107
|
|
|
} else { |
108
|
|
|
$bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); |
109
|
|
|
} |
110
|
|
|
} |
111
|
|
|
} |
112
|
|
|
// Determine which of our Trend lines is the best fit, and then we return the instance of that Trend class |
113
|
1 |
|
arsort($bestFitValue); |
114
|
1 |
|
$bestFitType = key($bestFitValue); |
115
|
|
|
|
116
|
1 |
|
return $bestFit[$bestFitType]; |
117
|
|
|
default: |
118
|
1 |
|
throw new SpreadsheetException("Unknown trend type $trendType"); |
119
|
|
|
} |
120
|
|
|
} |
121
|
|
|
} |
122
|
|
|
|