Partial Correlation Coefficient
Compute partial correlation coefficients using control variables
Minimum Origin Version Required: Origin 2016 SR0
This feature is for OriginPro only.
pcorrcoef irng:= (wcol(3):wcol(5)) control:=wcol(6) flag:=1;
Please refer to the page for additional option switches when accessing the x-function from script
Display Name |
Variable Name |
I/O and Type |
Default Value |
Description |
---|---|---|---|---|
Variables | irng |
Input Range |
|
Specify the input data for variables of interest. Note that beginning with Origin 2020b, there is a shortened syntax that follows the form [Book]Sheet!(N1:N2), N1 = the beginning column index and N2 being the ending column index in a contiguous range of columns. More complex strings from non-contiguous data of the form [Book]Sheet!([Book]Sheet!N1:N2,[Book]Sheet!N3:N4) are also possible. |
Controlling Variables | control |
Input Range |
|
Specify the data for control variables, the effect of control variable will be excluded when measure the relationship of above variables. |
Exclude Missing Values | missing |
Input int |
|
Specify the way to exclude the missing values.
Option list:
|
Test of Significance | tail |
Input int |
|
This variable indicates whether an one-, or two- tailed test should be performed.
Option list:
|
Show Significance in Result Table | sig |
Input int |
|
Specify whether to display Significance in Result Table in the report worksheet. |
Flag Significant Correlations | flag |
Input int |
|
Specify whether to mark the Partial Correlation Coefficient value significant at the 0.05 level with asterisk in Result Table, and highlight the Partial Correlation Coefficient value significant at the 0.05 level with red color in the flat sheet |
Result Table | rt |
Output ReportTree |
|
Specify target worksheet for output of report worksheet. |
Correlations Sheet | corr |
Output ReportData |
|
Specify target worksheet for output of Partial Correlation Coefficients. |
For more information, please refer to our User Guide.
Keywords:significance, pairwise, listwise