Timeline for Fitting a model on continuous response variable using lme4 package in R? Factorial or Nested design?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Jul 7, 2016 at 3:51 | answer | added | EdM | timeline score: 1 | |
| Jul 7, 2016 at 3:02 | comment | added | Vandka | Thank you all for the comments. I have just edited to clarify the design of my study. Hope everything you want to know is in here. Please have a look once. Thanks in advance. | |
| Jul 7, 2016 at 3:00 | history | edited | Vandka | CC BY-SA 3.0 |
added 825 characters in body; edited tags
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| Jul 6, 2016 at 11:16 | comment | added | EdM | Please clarify the physical relations among the variables you list under "design or nesting." That's needed to determine the nesting vs factorial structure. For example, do different regions have different sites? Are individual microsites specific to particular sites? What exactly is meant by "communities" in your study? A diagram of some sort would be very helpful. | |
| Jul 6, 2016 at 9:33 | comment | added | Robert Long | The response is not Poisson so at least that part of model 1 is wrong and with so few levels of each nesting factor it may make sense to specify 5 levels of nesting. You need to provide much more information about the design of your study. | |
| Jul 6, 2016 at 8:17 | history | migrated | from stackoverflow.com (revisions) | ||
| Jul 5, 2016 at 20:33 | comment | added | alexwhitworth | This isn't really coding related; flagging to move to CV | |
| Jul 4, 2016 at 11:40 | comment | added | mkt | There's a lot of information within 'Design or nesting' that will need more explanation if you are to get useful feedback here. To put it another way: you are asking us to choose between the opinions of two statisticians while providing us (presumably) with much less information than they had while forming those opinions. | |
| Jul 3, 2016 at 10:16 | history | asked | Vandka | CC BY-SA 3.0 |