Normal1D
Advanced Analysis Library Only
AnalysisLibErrType Normal1D (double inputArray[], ssize_t numberOfElements, double outputArray[], double *mean, double *standardDeviation);
Purpose
Normalizes a 1D input vector. The output vector has the following form:
where mean and standardDeviation are the mean and the standard deviation of the input vector.
Refer to StdDev for the formulas Normal1D uses to find the mean and the standard deviation.
Normal1D can perform the operation in place; that is, the input and output arrays can be the same.
The following example uses the Normal1D function.
double inputData[10], normalizedData[10];
double mean, standardDeviation;
AnalysisLibErrType status;
// Generate an array of random numbers
status = Uniform (10, 17, inputData);
status = Normal1D (inputData, 10, normalizedData, &mean, &standardDeviation);
Parameters
| Input | ||
| Name | Type | Description |
| inputArray | double [] | Input vector used as the basis for normalization. |
| numberOfElements | ssize_t | Number of elements used in the normalization of the input vector. |
| Output | ||
| Name | Type | Description |
| outputArray | double [] | Normalized vector. |
| mean | double | The mean, or average, value used to normalize the vector. |
| standardDeviation | double | Standard deviation used to normalize the input vector. |
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 3.1 and later