Owning Palette: Mathematics VIs
Requires: Base Development System. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.
Use the Probability and Statistics VIs to perform probability, descriptive statistics, analysis of variance, and interpolation functions.
| Note Many Probability and Statistics VIs are available only in the LabVIEW Full and Professional Development Systems. If you have the LabVIEW Base Development System, you have only a subset of the Probability and Statistics VIs. |
The VIs on this palette can return mathematics error codes.
| Palette Object | Description |
|---|---|
| Correlation Coefficient | Computes the linear correlation coefficient between input sequences X and Y. |
| 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. |
| 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. You must manually select the polymorphic instance you want to use. |
| 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 averaging 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. |
| Moment about Mean | Computes the moment about the mean of the input sequence X using the specified order, m. |
| MSE | Computes the mean square 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. Wire data to the p input to determine the polymorphic instance to use or manually select the instance.
|
| RMS | Computes the root mean square (rms) of the input sequence X. |
| Skewness and Kurtosis | Computes the skewness and kurtosis 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. |