Search found 63 matches
- Tue Aug 23, 2016 5:16 pm
- Forum: R2MLwiN user forum
- Topic: model.matrix() and terms() for R2mlwin objects
- Replies: 4
- Views: 6589
model.matrix() and terms() for R2mlwin objects
Hi This relates to the question of R generic methods. I am replicating "7.4 Predicted probabilities from a multilevel model" in LEMMA, and translating it to R2mlwin objects. See here, https://www.cmm.bris.ac.uk/lemma/mod/lesson/view.php?id=594&pageid=970 I am having an issue with trans...
- Tue Aug 23, 2016 5:08 pm
- Forum: R2MLwiN user forum
- Topic: what S3 or S4 method is a R2mlwin object?
- Replies: 3
- Views: 4811
Re: what S3 or S4 method is a R2mlwin object?
Thanks, Chris, for the clarification. however we do implement a number of R generic functions (e.g. coef and nobs) which allow them to be used by third party packages in functions such as linearHypothesis. Whether this works for individual packages will depend on whether we have implemented enough o...
- Tue Aug 23, 2016 3:03 pm
- Forum: R2MLwiN user forum
- Topic: Error in tutorial 09
- Replies: 2
- Views: 4277
Error in tutorial 09
Hi, I am working through tutorial 09: http://www.bristol.ac.uk/cmm/media/r2mlwin/UserGuide09.R Buty I am getting the following error: > (mymodel4 <- runMLwiN(logit(use) ~ 1 + lc + age + (1 | district), D = "Binomial", data = bang)) Error in UseMethod("droplevels") : no applicable...
- Tue Aug 23, 2016 2:55 pm
- Forum: R2MLwiN user forum
- Topic: what S3 or S4 method is a R2mlwin object?
- Replies: 3
- Views: 4811
what S3 or S4 method is a R2mlwin object?
Hi, What S3 or S4 method is a R2mlwin object? I am specifically thinking about what arguments I can use for the linearHypothesis() function in the car package. Related to this question, can one generally pass R2mlwin objects to other packages, e.g. the effects package? I know that R2mlwin object (if...
- Tue Aug 23, 2016 2:21 pm
- Forum: R2MLwiN user forum
- Topic: Relative risk ratios in R2MLwiN
- Replies: 5
- Views: 7591
Re: Relative risk ratios in R2MLwiN
Hi Observe, that when you take the exponential of the log-odds you will get the odds ratio not the relative risk ratio. The relative risk ratio is more complicated to obtain: see e.g. Osborne, 2006, Bringing balance and technical accuracy to reporting odds ratios and the results of logistic regressi...
- Thu Jul 28, 2016 9:20 am
- Forum: R2MLwiN user forum
- Topic: Graphing the fixed part of the model produces jittery results
- Replies: 2
- Views: 4499
Re: Graphing the fixed part of the model produces jittery results
Thanks, Chris. I will have a test drive asap. I assume that the other recent changes are built into this file as well.
- Fri Jul 22, 2016 9:35 am
- Forum: R2MLwiN user forum
- Topic: Graphing the fixed part of the model produces jittery results
- Replies: 2
- Views: 4499
Graphing the fixed part of the model produces jittery results
What I would like to produce are prediction graphs for the fixed part of the model, and in a separate graph the random part of the model. With confidence intervals. However, I have been experimenting with this without success for the fixed part of the model. I followed http://www.bris.ac.uk/cmm/medi...
- Mon Jul 18, 2016 1:37 pm
- Forum: R2MLwiN user forum
- Topic: The number of higher level observations are not correct
- Replies: 4
- Views: 5525
Re: The number of higher level observations are not correct
Thanks very much for the prompt fix, Chris.
I will install the development version asap.
I will install the development version asap.
- Mon Jul 18, 2016 11:43 am
- Forum: R2MLwiN user forum
- Topic: The number of higher level observations are not correct
- Replies: 4
- Views: 5525
Re: The number of higher level observations are not correct
Sure: # load tutorial demo(MCMCGuide03) # Read tutorial data data(tutorial, package = "R2MLwiN") # The highest level comes first, then the second highest and so on (mymodel1 <- runMLwiN(normexam ~ 1 + standlrt + (1 | school) + (1 | student), estoptions = list(EstM = 0), data = tutorial)) s...
- Sun Jul 17, 2016 4:31 pm
- Forum: R2MLwiN user forum
- Topic: The number of higher level observations are not correct
- Replies: 4
- Views: 5525
The number of higher level observations are not correct
Hi,
The number of higher level observations are not correct when comparing Mlwin and R2mlwin output.
Mlwin (in debug mode): 26 cases
R2mlwin in subsequent output:66 cases
Is there a quick fix for this?
Thanks
Adel
PS: tried to attach images but uploads fail for some reason...
The number of higher level observations are not correct when comparing Mlwin and R2mlwin output.
Mlwin (in debug mode): 26 cases
R2mlwin in subsequent output:66 cases
Is there a quick fix for this?
Thanks
Adel
PS: tried to attach images but uploads fail for some reason...