Table Of Contents
Measures of Mean (Measures of Mean) (G Dataflow)
Computes the central tendency of the data values in a data set.
x
Data set.
type
Type of mean to compute.
| Name | Description |
|---|---|
| arithmetic | Computes the arithmetic mean of the data set. |
| geometric | Computes the geometric mean of the data set. |
| harmonic | Computes the harmonic mean of the data set. |
| trimmed | Computes the arithmetic mean of the data set after removing the percentage of potential outliers that percent specifies. |
| median | Computes the central value of the data set. The median value also is the 50th percentile. |
Default: arithmetic
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
percent
Percentage of data to trim before computing the trimmed mean.
Use this input to ignore outlier values in x. This node trims the percentage you specify from both the lowest and highest values of x. Thus, the total amount trimmed equals twice the value of percent.
Default: 25
mean value
Mean measure of the data in 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