Owning Palette: Mathematics VIs
Use the Probability and Statistics VIs to perform probability, descriptive statistics, analysis of variance, and interpolation functions. Example
![]() | Note Many Probability and Statistics VIs are available only in the LabVIEW Full and Professional Development Systems. If you have the LabVIEW Base Package, you do not have the full set of the Probability and Statistics VIs described in this help file. A subset of the Probability and Statistics VIs is available in the LabVIEW Base Package. |
The VIs on this palette can return general LabVIEW error codes or specific mathematics error codes.
| Palette Object | Description |
|---|---|
| Correlation Coefficient (Kendall's Tau) | Computes the Kendall's Tau correlation coefficient between input sequences X and Y. |
| Correlation Coefficient (Spearman) | Computes the Spearman's rank correlation coefficient between input sequences X and Y. |
| Correlation Coefficient | Computes the linear correlation coefficient between input sequences X and Y. |
| Covariance Matrix | Computes the covariance matrix of the input sequence X. |
| Create Histogram | Computes a histogram for Signal. |
| General Histogram | Finds the discrete histogram of the input sequence X based on the given bin specifications. |
| Histogram | Finds the discrete histogram of the input sequence X. |
| Mean | Computes the mean of the values in the input sequence X. |
| Measures of Mean | Computes the central tendency of the data values in x array. |
| Measures of Spread | Computes the spread of the data values in x array. |
| Median | Finds the median value of the input sequence X by sorting the values of X and selecting the middle element(s) of the sorted array. |
| Mode | Finds the modes (most common values) or estimated modes (most common range centers) of the input sequence X. This VI can perform unimodal or multimodal analysis. You must manually select the polymorphic instance to use. Select the Unimodal instance if you are sure that the input sequence X is unimodal or you expect one scalar mode result. Select the Multimodal instance if you expect an array of modes. If the VI does not find a mode, the Unimodal instance returns NaN without error and the Multimodal instance returns an empty array without error. |
| Moment about Mean | Computes the moment about the mean of the input sequence X using the specified order, m. |
| MSE | Computes the mean squared error (mse) of the input sequences X Values and Y Values. |
| Percentiles | Computes a value that is greater than p percent of the data values in x array. The data type you wire to the p input determines the polymorphic instance to use. |
| RMS | Computes the root mean square (rms) of the input sequence X. |
| Standard Deviation and Variance | Computes the mean, standard deviation, and variance of the values in the input sequence X. |
| Statistics | Returns the selected parameter of the first signal in a waveform. |
| Subpalette | Description |
|---|---|
| Analysis of Variance VIs | Use the Analysis of Variance VIs to perform analysis of variance functions. |
| Hypothesis Testing VIs | Use the Hypothesis Testing VIs to test hypotheses about a population. |
| Probability VIs | Use the Probability VIs to perform probability distribution and random number generation functions. |
Refer to the labview\examples\analysis\statxmpl.llb for examples of using the Probability and Statistics VIs.