general linear model

I'm new to Multilevel modeling and currently I been working on a business project and its data is related to multilevel modeling. I know a lot of things about how to approach this problem, but I will do my reasoning so you can tell me if it is ok or wrong. So I need a mind that know this type of...

I'm facing the following situation: We conducted a marketing campaign with three groups: 2 test vs 1 of control, where two different type of coupons sent to the two test groups, 3 euros vs. 6 euros. I understand that the best way to test the difference in proportion is a GLM model with binomial...

Hi, I've done a few GLM's with poisson distribution, the code I've used is name<-glm(dependentvariable~independent+independent+independent,family=poisson,data=datset) for some the dependent variable is non-normally distributed so I believe I need to use a generalised linear model. But...

Hi, I am new to this forum so please be kind :-). Not sure if this belongs in 'R'. I will describe my problem as good as I can. First of all I am using R commander for my Master Thesis. My Thesis is to identify if there is an association between one predicting variable (categorical 'less...

Hello everyone, I am a master student in Biology. I am now trying to analyse my thesis data, but I am facing a problem: I do not understand which test I should use for my large dataset containing one response variable and multiple explanatory variables (factor and numeric values!). Please...

Hi, I'm not very statistically minded but I would really appreciate some guidance. I am needing to do several stat tests for my MSc dissertation. I have one dependent variable (species count) and one independent variable (year), but two species. I have constructed a basic count against year...

Hi, I have become confused in my reading of analysis of proportions. I was all set to analyse my data using a general linear model after transforming the proportions using an arcsine-square root transformation, but now I'm not sure if this is a correct approach and more importantly why/why...

Fairly novice in statistics, so this will surely have a simple explanation. I ran bivariate analyses to check for normality of a series of variables and also to test the relationship of each with two outcome variables (one binary the other continuous). In the bivariate analyses (using either...

Hi, The data I'm looking to analyse is vigilance data from monkeys. I need to investigate which factors affect the different types of vigilance. The first category I'm looking to investigate is "no vigilance" and therefore this is my dependent variable. This data includes a fair few 0's...