*percent cover of seagrass with about 53% of the data being zeros across 8 group levels/columns (4 years x 2 seasons per year).*

**average**I'd like to test the null hypothesis that there is no statistical difference in median seagrass cover between "dry" and "wet" seasons, for each year.

Each value is the average of 10 randomly chosen, independent, observations per site (n=47 sites). I'm working in R.

I thought beta regression would work, but learned values can't equal 0 or 1, logistic regression is only for success/failure type data, and my data have unequal variance so I can't do any parametric tests.

Code:

```
years <- seq(2008:2011)
season <- c("dry", "wet")
site <- seq(1:47)
percent range between 0.0 (0%) to 0.85 (85%)
Site 2008_dry 2008_wet 2009_dry etc...
1 0 0
2 0.10 0.26
3 0 0.71
4 0.52 0
etc...
```