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Developer Documentation
- Bug fixes for general core bugs in 3.10.x will end 8 November 2021 (12 months).
- Bug fixes for security issues in 3.10.x will end 9 May 2022 (18 months).
- PHP version: minimum PHP 7.2.0 Note: minimum PHP version has increased since Moodle 3.8. PHP 7.3.x and 7.4.x are supported too.
Differences Between: [Versions 310 and 311] [Versions 310 and 400] [Versions 310 and 401] [Versions 310 and 402] [Versions 310 and 403]
(no description)
| File Size: | 463 lines (11 kb) |
| Included or required: | 0 times |
| Referenced: | 0 times |
| Includes or requires: | 0 files |
Defines 1 class
BestFit:: (23 methods):
getError()
getBestFitType()
getValueOfYForX()
getValueOfXForY()
getXValues()
getEquation()
getSlope()
getSlopeSE()
getIntersect()
getIntersectSE()
getGoodnessOfFit()
getGoodnessOfFitPercent()
getStdevOfResiduals()
getSSRegression()
getSSResiduals()
getDFResiduals()
getF()
getCovariance()
getCorrelation()
getYBestFitValues()
calculateGoodnessOfFit()
leastSquareFit()
__construct()
| getError() X-Ref |
| No description |
| getBestFitType() X-Ref |
| No description |
| getValueOfYForX($xValue) X-Ref |
| Return the Y-Value for a specified value of X. param: float $xValue X-Value return: bool Y-Value |
| getValueOfXForY($yValue) X-Ref |
| Return the X-Value for a specified value of Y. param: float $yValue Y-Value return: bool X-Value |
| getXValues() X-Ref |
| Return the original set of X-Values. return: float[] X-Values |
| getEquation($dp = 0) X-Ref |
| Return the Equation of the best-fit line. param: int $dp Number of places of decimal precision to display return: bool |
| getSlope($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 |
| leastSquareFit(array $yValues, array $xValues, $const) X-Ref |
param: float[] $yValues param: float[] $xValues param: bool $const |
| __construct($yValues, $xValues = [], $const = true) 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 param: bool $const |
