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Developer Documentation
- Bug fixes for general core bugs in 4.0.x will end 8 May 2023 (12 months).
- Bug fixes for security issues in 4.0.x will end 13 November 2023 (18 months).
- PHP version: minimum PHP 7.3.0 Note: the minimum PHP version has increased since Moodle 3.10. PHP 7.4.x is also supported.
Differences Between: [Versions 400 and 401] [Versions 400 and 402] [Versions 400 and 403]
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| File Size: | 421 lines (14 kb) |
| Included or required: | 0 times |
| Referenced: | 0 times |
| Includes or requires: | 0 files |
Defines 1 class
Trends:: (14 methods):
filterTrendValues()
checkTrendArrays()
validateTrendArrays()
CORREL()
COVAR()
FORECAST()
GROWTH()
INTERCEPT()
LINEST()
LOGEST()
RSQ()
SLOPE()
STEYX()
TREND()
| filterTrendValues(array &$array1, array &$array2) X-Ref |
| No description |
| checkTrendArrays(&$array1, &$array2) X-Ref |
| No description |
| validateTrendArrays(array $yValues, array $xValues) X-Ref |
| No description |
| CORREL($yValues, $xValues = null) X-Ref |
| CORREL. Returns covariance, the average of the products of deviations for each data point pair. return: float|string param: mixed $yValues array of mixed Data Series Y param: null|mixed $xValues array of mixed Data Series X |
| COVAR($yValues, $xValues) X-Ref |
| COVAR. Returns covariance, the average of the products of deviations for each data point pair. return: float|string param: mixed $yValues array of mixed Data Series Y param: mixed $xValues array of mixed Data Series X |
| FORECAST($xValue, $yValues, $xValues) X-Ref |
| FORECAST. Calculates, or predicts, a future value by using existing values. The predicted value is a y-value for a given x-value. return: bool|float|string param: mixed $xValue Float value of X for which we want to find Y param: mixed $yValues array of mixed Data Series Y param: mixed $xValues of mixed Data Series X |
| GROWTH($yValues, $xValues = [], $newValues = [], $const = true) X-Ref |
| GROWTH. Returns values along a predicted exponential Trend return: float[] param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X param: mixed[] $newValues Values of X for which we want to find Y param: mixed $const A logical (boolean) value specifying whether to force the intersect to equal 0 or not |
| INTERCEPT($yValues, $xValues) X-Ref |
| INTERCEPT. Calculates the point at which a line will intersect the y-axis by using existing x-values and y-values. return: float|string param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| LINEST($yValues, $xValues = null, $const = true, $stats = false) X-Ref |
| LINEST. Calculates the statistics for a line by using the "least squares" method to calculate a straight line that best fits your data, and then returns an array that describes the line. return: array|int|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: null|mixed[] $xValues Data Series X param: mixed $const A logical (boolean) value specifying whether to force the intersect to equal 0 or not param: mixed $stats A logical (boolean) value specifying whether to return additional regression statistics |
| LOGEST($yValues, $xValues = null, $const = true, $stats = false) X-Ref |
| LOGEST. Calculates an exponential curve that best fits the X and Y data series, and then returns an array that describes the line. return: array|int|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: null|mixed[] $xValues Data Series X param: mixed $const A logical (boolean) value specifying whether to force the intersect to equal 0 or not param: mixed $stats A logical (boolean) value specifying whether to return additional regression statistics |
| RSQ($yValues, $xValues) X-Ref |
| RSQ. Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's. return: float|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| SLOPE($yValues, $xValues) X-Ref |
| SLOPE. Returns the slope of the linear regression line through data points in known_y's and known_x's. return: float|string The result, or a string containing an error param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| STEYX($yValues, $xValues) X-Ref |
| STEYX. Returns the standard error of the predicted y-value for each x in the regression. return: float|string param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X |
| TREND($yValues, $xValues = [], $newValues = [], $const = true) X-Ref |
| TREND. Returns values along a linear Trend return: float[] param: mixed[] $yValues Data Series Y param: mixed[] $xValues Data Series X param: mixed[] $newValues Values of X for which we want to find Y param: mixed $const A logical (boolean) value specifying whether to force the intersect to equal 0 or not |
