Search moodle.org's
Developer Documentation
Developer Documentation
See Release Notes
Long Term Support Release
- Bug fixes for general core bugs in 4.1.x will end 13 November 2023 (12 months).
- Bug fixes for security issues in 4.1.x will end 10 November 2025 (36 months).
- PHP version: minimum PHP 7.4.0 Note: minimum PHP version has increased since Moodle 4.0. PHP 8.0.x is supported too.
Differences Between: [Versions 310 and 401] [Versions 311 and 401] [Versions 39 and 401] [Versions 401 and 402] [Versions 401 and 403]
(no description)
| File Size: | 461 lines (12 kb) |
| Included or required: | 0 times |
| Referenced: | 0 times |
| Includes or requires: | 0 files |
Defines 1 class
BestFit:: (21 methods):
getError()
getBestFitType()
getXValues()
getSlope()
getSlopeSE()
getIntersect()
getIntersectSE()
getGoodnessOfFit()
getGoodnessOfFitPercent()
getStdevOfResiduals()
getSSRegression()
getSSResiduals()
getDFResiduals()
getF()
getCovariance()
getCorrelation()
getYBestFitValues()
calculateGoodnessOfFit()
sumSquares()
leastSquareFit()
__construct()
| getError() X-Ref |
| No description |
| getBestFitType() X-Ref |
| No description |
| getXValues() X-Ref |
| Return the original set of X-Values. return: float[] X-Values |
| getSlope($dp = 0) X-Ref |
| Return the Slope of the line. param: int $dp Number of places of decimal precision to display return: float |
| getSlopeSE($dp = 0) X-Ref |
| Return the standard error of the Slope. param: int $dp Number of places of decimal precision to display return: float |
| getIntersect($dp = 0) X-Ref |
| Return the Value of X where it intersects Y = 0. param: int $dp Number of places of decimal precision to display return: float |
| getIntersectSE($dp = 0) X-Ref |
| Return the standard error of the Intersect. param: int $dp Number of places of decimal precision to display return: float |
| getGoodnessOfFit($dp = 0) X-Ref |
| Return the goodness of fit for this regression. param: int $dp Number of places of decimal precision to return return: float |
| getGoodnessOfFitPercent($dp = 0) X-Ref |
| Return the goodness of fit for this regression. param: int $dp Number of places of decimal precision to return return: float |
| getStdevOfResiduals($dp = 0) X-Ref |
| Return the standard deviation of the residuals for this regression. param: int $dp Number of places of decimal precision to return return: float |
| getSSRegression($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getSSResiduals($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getDFResiduals($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getF($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getCovariance($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getCorrelation($dp = 0) X-Ref |
param: int $dp Number of places of decimal precision to return return: float |
| getYBestFitValues() X-Ref |
return: float[] |
| calculateGoodnessOfFit($sumX, $sumY, $sumX2, $sumY2, $sumXY, $meanX, $meanY, $const) X-Ref |
| No description |
| sumSquares(array $values) X-Ref |
| No description |
| leastSquareFit(array $yValues, array $xValues, bool $const) X-Ref |
| No description |
| __construct($yValues, $xValues = []) X-Ref |
| Define the regression. param: float[] $yValues The set of Y-values for this regression param: float[] $xValues The set of X-values for this regression |
