Suppose the input wave meansData consists of the following 9 circular means:
| Mean Angle | Vector Length |
| 2.1496 | 1.31703 |
| 2.08947 | 1.08571 |
| 1.53258 | 0.912532 |
| 1.84505 | 0.821982 |
| 1.49443 | 0.91064 |
| 2.22017 | 1.14402 |
| 2.43167 | 1.07997 |
| 2.17959 | 0.904853 |
| 2.21432 | 1.02146 |
To perform a non-parametric second order analysis (H0: uniform distribution around the circle) execute the following command:
StatsCircularMeans/CI/T=1/NSOA meansData
| n | 9 |
| rBar | 0.977971 |
| tBar | 2.04487 |
| CI_t1 | 2.33663 |
| CI_t2 | 1.66823 |
| NSOA_Rp | 1.60638 |
| NSOA_Critical | 1.05422 |
| alpha | 0.05 |
As NSOA_Rp > NSOA_Critical H0 (uniform distribution) must be rejected.
To perform a parametric second order analysis (assumes that the second order quantities are taken from a bivariate normal distribution), execute the command:
StatsCircularMeans/T=1/CI/PSOA meansData
| n | 9 |
| rBar | 0.977971 |
| tBar | 2.04487 |
| CI_t1 | 2.33663 |
| CI_t2 | 1.66823 |
| PSOA_F | 216.986 |
| PSOA_Critical | 4.73741 |
| alpha | 0.05 |
Here again H0 of uniformly distributed data must be rejected.
Forum
Support
Gallery
Igor Pro 10
Learn More
Igor XOP Toolkit
Learn More
Igor NIDAQ Tools MX
Learn More