The model works with similar explanatory variables like bivalve prey, and fish prey, but for some reason, although the percentages are not extremely different, this particular explanatory variable produces this warning message: glm.fit: algorithm did not converge. If this does not work, try 35, 40, 50 etc. The default value is 25, which in your case is not working. But don't go for too large values. It will simply mean that you algorithm will not converge. $ endgroup$ – Ankit Seth Feb 21 '18 at 13:20.
Being a bit of a novice, please bear with me if this is a stupidquestion!I am trying to fit a saturated model to some count data that I have:model. At 11:04 AM 4/28/2003 -0500, Laine, Laetitia wrote:Help! Being a bit of a novice, please bear with me if this is a stupidquestion!I am trying to fit a saturated model to some count data that I have:model.
. 1.2k wrote:Hi,I am working on a RNA-Seq data set from drosophila melanogaster time course analysis. Hi Assa,Did you get any answer to your question? I have the same kind of design, also in D. Melanogaster, and get the same error message.Also, when I use next the T.fit function, I get the following error:1 'fitting gene 100 out of 1061'1 'fitting gene 200 out of 1061'1 'fitting gene 300 out of 1061'1 'fitting gene 400 out of 1061'1 'fitting gene 500 out of 1061'1 'fitting gene 600 out of 1061'1 'fitting gene 700 out of 1061'1 'fitting gene 800 out of 1061'Error: object 'lastname' not foundI don't know if it is due to the warning message or if there is another problem.Thank your for your help.Stephanie.