stats newbie here so please make replies easy to understand! With the type of data I generate, my colleagues use Mann-Whitneys to generate p values.
I did a stats course recently and we were told there was no longer any excuse to do: • ANOVA, routinely transforming data to make residuals normal • non-parametric stats (M-W, K-W, runs, etc) to cope with complex parametric structures
and instead we had to use GLMs.
I have data where my independent variable is a categorical/discrete variable and my dependent variable is continuous variable (non-integer)
I have tried transforming the data using lny 1/y sqrt(y) and it doesn't help at all.
From my stats course the next step would be to try a generalised linear model, The only GLMS I know are poisson and negative-binomial but my data aren't integers. Any suggestions on what I can do?