[R] PROC MIXED RANDOM equivalence in R nlme

Dennis F. Kahlbaum kbomb at umich.edu
Fri Aug 11 21:53:50 CEST 2017


Hi David:

Thanks for your response and suggestions.

--Dennis

On 8/11/17 2:03 PM, David Winsemius wrote:
>> 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!
>>>>
>>>> ______________________________________________
>>>> 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.
>> ______________________________________________
>> 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
>
>
>
>
>



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