Table Of Contents
Measures of Spread (Measures of Spread) (G Dataflow)
Computes the spread of the data values in a sequence.
x
Data set.
type
Type of spread to compute.
| Name | Value | Description |
|---|---|---|
| standard deviation | 0 |
Computes the standard deviation, or the square root of the variance, of x. The standard deviation is the most common measure of spread in a data set. |
| range | 1 |
Computes the range, or the difference in the minimum and maximum values, of x. |
| mean absolute deviation | 2 |
Computes the mean of the absolute value of the deviation of x from its mean. |
| interquartile rank | 3 |
Computes the difference between the 25th and 75th percentile of x. This measure of spread therefore is more resistive to outliers than the other measures. |
Default: standard deviation
error in
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
spread value
Spread of the input data set.
error out
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application