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Statistics
Select a function from the list below.
| Icon | Name | Description |
|---|---|---|
| Average | Computes the average of an array of real numbers. The array must be not empty. | |
| LinearRegression | Computes linear regression of given point set. | |
| Median | Computes the median of an array of real numbers. The array must be not empty. | |
| NthValue | Computes n-th smallest value in an array (0-indexed). The array must be not empty. | |
| PearsonCorrelation | Computes Pearson product-moment correlation coefficient. The array must be not empty. | |
| Quantile | Computes the specified quantile of an array of real numbers. The array must be not empty. | |
| StandardDeviation | Computes the standard deviation of an array of real numbers. The array must be not empty. | |
| Statistics_OfArray | Computes basic statistical information out of an array of real numbers. The array must be not empty. | |
| Statistics_OfLoop | Computes basic statistical information out of real numbers appearing in consecutive iterations. | |
| Variance | Computes the variance of an array of real numbers. The array must be not empty. |
Select Filter Equivalent below.
| Icon | Name | Description |
|---|---|---|
| AccessLinearFunction | Returns coefficients of a linear function. | |
| LinearRegression_LTE | Computes linear regression of given point set using Least Trimmed Error algorithm. | |
| LinearRegression_M | Computes linear regression of given point set using selected M-estimator for outlier suppression. | |
| LinearRegression_RANSAC | Computes linear regression of given point set using RANSAC. | |
| LinearRegression_TheilSen | Computes linear regression of given point set using TheilSen algorithm. | |
| MakeLinearFunction | Creates a linear function with given coefficients. |
