# Search results

1. ### 2-way ANOVA on non-normal, hetergeneous data

I'm trying to analyze growth data from chicks, and I need to perform the equivalent of a 2-way ANOVA (2x2 design, unequal sample sizes), but my data are heavily skewed with heterogeneous variances, and transformation, which I avoid when possible, isn't helping. I've searched for alternative...
2. ### GLM for proportional data

Hi, I'm hoping someone can help me sort out question about how the proportion comparisons in GLM works in R. I'm trying to compare hatch success among years (and later, sites). I've used a GLM to compare among years by making a txt file where the success column contains the number of chicks...
3. ### Confidence intervals for a binomial distribution

Hi everyone, In my thesis data set, I'm trying to sort out which years were poor and which were good based on an assortment of breeding bird metrics. The one I'm currently looking at is clutch size, where I've converted 1 and 2 egg clutches (this species never lays more) to a binomial...
4. ### GzLM for counts or ?

Hi everyone, I'm trying to figure out how to run an appropriate comparison for clutch sizes of birds. Ultimately, I want to compare clutch size of the same species between 2 sites with 2 levels (good, poor). First I need to sort out if there were differences among years in each site to be able...
5. ### [Minitab] question re: Linear Discriminant Function for Groups

Hi all, In prep for analyzing my MSc dataset (bird breeding and feeding ecology data from the Arctic), I'm trying to understand discriminant function analysis (among other things!). I've digested most of what my biostats text has to say, and have a basic understanding. I've spent today and...
6. ### Nested vs. 2-Way ANOVAs

Hi! I'm conducting analyses on my MSc data set, and am a little confused about how to think about my data in terms of statistical tests. I have a series of data consisting of multiple dependent variables from 2 different sites. [Most of these dependent variables, though collected at each...