LinearFitInterval
Advanced Analysis Library Only
AnalysisLibErrType LinearFitInterval (double arrayX[], double arrayY[], double weight[], ssize_t numberOfElements, int intervalType, double confidenceLevel, double slope, double intercept, double upperBound[], double lowerBound[], double *deltaSlope, double *deltaIntercept);
Purpose
Calculates the confidence interval for the best linear fitting function or the prediction interval for the observations. The confidence interval refers to the interval within which the actual function is expected to fall. The prediction interval refers to the interval within which the arrayY values are expected to fall in repeated measurements.
Parameters
| Input | ||
| Name | Type | Description |
| arrayX | double [] | The x value of the data set (x, y). |
| arrayY | double [] | The y value of the data set (x, y). |
| weight | double [] | The weight of each data point. If weight is NULL, the function assumes all the weights are 1. |
| numberOfElements | ssize_t | The length of arrayX, arrayY, and weight. |
| intervalType | int | The type of interval. intervalType must be one of the following values:
|
| confidenceLevel | double | The level of certainty for the confidence interval or prediction interval. For the confidence interval, confidenceLevel specifies the probability that the actual function lies within the confidence interval. For the prediction interval, confidenceLevel specifies the probability that the arrayY values lie within the prediction interval in repeated measurements. confidenceLevel must be between 0 and 1. |
| slope | double | The slope of the fitted linear model calculated using the Least Square method. |
| intercept | double | The intercept of the fitted linear model calculated using the Least Square method. |
| Output | ||
| Name | Type | Description |
| upperBound | double [] | The upper bound for the confidence interval or prediction interval. |
| lowerBound | double [] | The lower bound for the confidence interval or prediction interval. |
| deltaSlope | double | The uncertainty radius of slope. deltaSlope is available only when intervalType is CONFIDENCE_INTVL. |
| deltaIntercept | double | The uncertainty radius of intercept. deltaIntercept is available only when intervalType is CONFIDENCE_INTVL. |
Return Value
| Name | Type | Description |
| status | AnalysisLibErrType | A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants. |
Additional Information
Library: Advanced Analysis Library
Include file: analysis.h
LabWindows/CVI compatibility: LabWindows/CVI 8.0 and later