[R] PROC MIXED RANDOM equivalence in R nlme

[David Winsemius]

> On Aug 11, 2017, at 7:56 AM, Dennis F. Kahlbaum <kbomb at umich.edu> wrote:
> 
> Hi Robert:
> 
> Thanks for your response, as well.
> 
> I'm sorry. As you've discovered, I made some capitalization errors when posting my R code.  The actual R code does use "lme", "data", and "random".
> 
> The dataframe is indeed named "emiss" and each item in the formula is a column in the dataframe. I used the following R code to read in the comma-delimited file (first line contains headings):
> 
>    emiss <- read.table("data.csv", header=TRUE, sep=",") # NA for missing data (default)
> 
> A review of the dataframe "emiss" shows that all items, except "STUDY", "VEHICLE" and "NEW", are of type "num". The items "STUDY", "VEHICLE", and "NEW" are of type "factor".
> 
> I will work on creating some "fake data". However, since I don't have SAS v6.12 anymore, I can't provide the so-called "correct results".
> 
> As for the R hang, your wording is correct: "R gets caught in a processing loop that produces no errors or warnings", even after 15 minutes on an 8-core Mac Pro.  As I recall, the SAS code produced an answer in 15 seconds or less on a single core Mac II back in 1999.

You really should start over. Compose a correct version of code and data and resubmit to the place this questions _should_ have gone in the first place: the R-SIG-Mixed-models mailing list (correct spelling and link should be on the listinfo page.)


> 
> Thanks again!
> 
> --Dennis
> 
> 
> 
> On 8/11/17 9:27 AM, Robert Baer wrote:
>> 
>> 
>> On 8/10/2017 8:34 AM, Dennis F. Kahlbaum wrote:
>>> -- snip --
>> I don't have real help, but I'll remind you that R is case sensitive, and it looks like that will be at least one problem in the solution your are working on below:
>> lme not LME
>> data not DATA
>> random = RANDOM
>>> ------------------------------------------------------------------
>>> 
>>> The R code I've devised for the PROC MIXED statement is shown below:
>>> 
>>> ------------------------------------------------------------------
>>> FitTHC <- LME(ln_thc ~ rv + t5 + t9 + ar + ol + ox + su + bz,
>>>          DATA = emiss,
>>>          RANDOM = ??????? )
>>> ------------------------------------------------------------------
>>> 
>>> As indicated, the problem I'm having is in constructing the equivalent code for the RANDOM and any remaining settings. I've tried
>>> 
>>> RANDOM = ~1 + rv + t5 + t9 + ar + ol + ox + su + bz | new)
>>> 
>>> but R hangs 
>> Are the items in your random formula columns in a dataframe named emiss?  Do they have data types?  Even if the data are proprietary some fake data can make the problem more concrete.
>> You are saying "gets caught in a processing loop that produces no errors or warnings"???
>> 
>>> and never produces a result. Therefore, what is the equivalent code for the SAS RANDOM?
>>> 
>>> Thanks!
>>> 
>>> ______________________________________________
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>>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>> 
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   -Gehm's Corollary to Clarke's Third Law