Search found 63 matches
- Sat Apr 21, 2018 9:11 pm
- Forum: R2MLwiN user forum
- Topic: Number of observations displayed
- Replies: 8
- Views: 10988
Re: Number of observations displayed
Thanks for your reply Chris. I was concerned that the difference between the models given the small data would hide in the third or fewer decimal points. So I expanded the same data, and ran the models. As you see below, I do still get a difference within Mlwin. Not sure if this is unique to my PC. ...
- Wed Apr 18, 2018 11:06 pm
- Forum: R2MLwiN user forum
- Topic: Number of observations displayed
- Replies: 8
- Views: 10988
Re: Number of observations displayed
Chris, I ran a test testing the difference between the two id styles. I used the data given in LEMMA section 11.2: A Three-Level Variance Components Model using the the STATA data 11.2.dta. library(foreign) tut <- read.dta("11.2.dta") # run with unique Id unique.id.performance <- rep(NA, 1...
- Wed Apr 18, 2018 9:57 pm
- Forum: R2MLwiN user forum
- Topic: Specifying weight in R2MLwiN
- Replies: 8
- Views: 11288
Re: Specifying weight in R2MLwiN
Thanks to both of you. I missed this solution while browsing through the topics. I confirm this works. On a related note. I wonder how rp- and fpsandwish works for weighting? The manual states: weighting: a deprecated option for specifying weights in IGLS estimation: see fpsandwich and rpsandwich fo...
- Wed Apr 18, 2018 12:33 pm
- Forum: R2MLwiN user forum
- Topic: Specifying weight in R2MLwiN
- Replies: 8
- Views: 11288
Re: Specifying weight in R2MLwiN
Could you try adding the debugmode=TRUE option and then checking within the MLwiN interface whether any errors are reported? When I enter debugmode I discover that Mlwin crashes. I tried varying the following arguments, but it still crashes: optimat=, resi.store = , x64= , weighting = list(weightva...
- Wed Apr 18, 2018 12:16 pm
- Forum: R2MLwiN user forum
- Topic: Define reference category for non-numeric covariates
- Replies: 2
- Views: 5581
Re: Define reference category for non-numeric covariates
ok, thanks Chris. It was not immediately clear from the R2mlwin documentation (https://cran.r-project.org/web/packages ... 2MLwiN.pdf), pp. 22-23. An additional note is may be required.
- Wed Apr 18, 2018 12:08 pm
- Forum: R2MLwiN user forum
- Topic: Number of observations displayed
- Replies: 8
- Views: 10988
Re: Number of observations displayed
Hi Chris, I would have to check, but it's possible that the R display is using unique codes instead of changes to the ID value as in MLwiN to determine different units. Ok, thanks, that would be great. Again, I could, of course, use unique id, but performance is noticeably slower with large datasets...
- Tue Apr 17, 2018 11:30 pm
- Forum: R2MLwiN user forum
- Topic: Number of observations displayed
- Replies: 8
- Views: 10988
Number of observations displayed
Hi The mymodel@Hierarchy slot does not get the correct number of intermediate levels (e.g. class id in a data of students nested in class nested in schools) when these intermediate unit id are renumbered. For example: School class student 1 1 1 1 1 2 1 2 1 1 2 2 2 1 1 2 1 2 2 2 1 2 3 1 The reason I ...
- Tue Apr 17, 2018 10:35 pm
- Forum: R2MLwiN user forum
- Topic: Specifying weight in R2MLwiN
- Replies: 8
- Views: 11288
Re: Specifying weight in R2MLwiN
Hi Chris, Trying to add weights in a four-level mode and only for the first level. I assume this is a correction estimation option argument: estoptions = list(EstM = 0, optimat=T, resi.store = TRUE, debugmode=F, weighting = list(weightvar=c(NA,NA,NA, "wg"), standardised=T)) f2 = as.formula...
- Tue Apr 17, 2018 9:37 pm
- Forum: R2MLwiN user forum
- Topic: Define reference category for non-numeric covariates
- Replies: 2
- Views: 5581
Define reference category for non-numeric covariates
Hi (A) How can I define the reference category for non-numeric covariates (binary, ordinal, or multinomial)? According to the manual "[] When placed immediately after an explanatory variable, indicates that the variable is categorical.The string in the [] represents the reference category; if e...
- Fri Aug 11, 2017 8:36 am
- Forum: MLwiN user forum
- Topic: Zero-inflated negative binomial models?
- Replies: 5
- Views: 8755
Re: Zero-inflated negative binomial models?
Ok, thanks, Chris.
Looking forward to reading Kelvyn's module.
Looking forward to reading Kelvyn's module.