Hi Ricardo, if you have fixed and random effects, then lme4 can definitely do this analysis. But your formula would have to look quite different. I also don't get your data overview - if you have it in a table, rather send that than a single column. While I still wouldn't know what FA7, FV7, and your other letter-number combinations refer to, which might make a difference to your model. You're aware that you wouldn't write your equation in lme4 as you did here, right? You would not write mu+ and +e, but Y ~ variable1 + variable2 + random effect. 1. What is your Y? Is Y the specific tree clone you're trying to predict? 2. Your Female+Male is most likely one variable with 2 levels (Female and Male), not two. So in your formula, it would be "sex" instead or however you want to call it. 3. I don't know what FemxMale refers to. 4. What does Clone refer to? 5. What would your random effect(s) be? If you don't have any, lme4 is not right for you. From what you're writing, I don't think your formula is correct. From the data you've sent, I can't get the proper info. So we would really need more info on what you're trying to find out and model. Diana Am 29.09.2017 um 18:52 schrieb Ricardo Francisco Duran Reyes:
Dear all, I am a forestry researcher from Chile and I want to use the Lme4 packages for fitting a linear mixed model according this equation: Y=mu+Female+Male+FemxMale+Clone+e Where some trees are clones with know family and other are clones with unknow parents, others are family data with both parents know and other are family data with just one parent know. Is lme4 capable for doing this analysis? An example of how data looks is here: Family Female Male Clone Type of data AH FA7 FV7 AH714 Clonal data AH FA7 FV7 Full sib progeny LB FA7 Unknown LB315 Clonal data (one parent known) Unknown Unknown Unknown BA465 Clonal data (unknown family) BT FA21 FV50 Full sib progeny BA G184 Unknown OP progeny I would appreciate any help Best regards, Ricardo Dur?n [[alternative HTML version deleted]]
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Diana Michl, M.A. PhD candidate International Experimental and Clinical Linguistics Universit?t Potsdam www.ling.uni-potsdam.de/staff/dmichl www.duoinfernale.eu [[alternative HTML version deleted]]