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non-parametric mixed model
2 messages · Lene Jung, David Duffy
On Wed, 1 Feb 2012, Lene Jung wrote:
variables. For all variables, I have repeated measurements from individuals (multiple seasons) and 2 different study sites, so I am using a mixed-model approach with individual as subject (random effect) to test for differences between sites and seasons. My problem is that I have 2 variables that are cosines which means that they are in the interval -1 to 1. One of the variables have many ties (many 1s) whereas the other doesn't.
This is circular data? There apparently are mixed models eg for longitudinal circular data, and there are nonparametric tests of homogeneity. eg http://www.omicsonline.org/2155-6180/2155-6180-1-107.php, R CircStats package. Or am I completely misunderstanding?
| David Duffy (MBBS PhD) ,-_|\ | email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / * | Epidemiology Unit, Queensland Institute of Medical Research \_,-._/ | 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v