Hi, Bert,
Thank you very much for the comments and suggestions!
Ace
On Wednesday, November 15, 2017 10:44 AM, Bert Gunter
<bgunter.4...@gmail.com> wrote:
Always cc the list, which I have done here. I am not a (free) private
consultant, nor do I have all the answers.
Based on what you sent me, which is not what you have previously posted, you
failed to load the lme3 package. See ?library.
As for the appropriateness of your modeling, you should do what David already
suggested and post to the r-sig-mixed-models list instead.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Nov 15, 2017 at 5:09 AM, Fix Ace <ace...@rocketmail.com> wrote:
Hi, Bert,
Sorry about that! David seemed to be able to read the post since he replied.
Here I just email you the sample code and error message:
> example.3=data.frame(levels= as.numeric(XXX[,c(4)]),
> replicate=rep(c("0","1","2"," 3","4","5"),3),conditions=c(
> rep("11",6),rep("12",6),rep(> example.3 levels replicate conditions1
> 43.1111 0 112 42.0942 1 113 57.8131
> 2 114 57.1726 3 115 77.8678 4 116
> 44.7578 5 117 69.5078 0 128 52.0581
> 1 129 40.0602 2 1210 45.5487 3 1211
> 43.6201 4 1212 60.4939 5 1213 64.1932
> 0 1314 53.4055 1 1315 59.6701 2 1316
> 52.6922 3 1317 53.8712 4 1318 60.2770
> 5 13> m.example.3=lmer(as.numeric( levels)~conditions+(
> conditions|replicate),data= example.3)Error in lmer(as.numeric(levels) ~
> conditions + (conditions | replicate), : could not find function "lmer">
Hopefully you could read it and provide some comments!
Thank you very much for your time.
Kind regards,
Ace
On Tuesday, November 14, 2017 6:12 PM, Bert Gunter <bgunter.4...@gmail.com>
wrote:
Still a complete mess!
Post in **plain text**. This should be an option in your email software. Please
seek local help if you cannot figure out how to do this.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Nov 14, 2017 at 12:49 PM, Fix Ace via R-help <r-help@r-project.org>
wrote:
Hi, David,
Thank you very much for getting back to me! Sorry about the messy code example.
I am re-posting here (including the error message):
> example.3=data.frame(levels= as.numeric(XXX[,c(4)]),
> replicate=rep(c("0","1","2"," 3","4","5"),3),conditions=c(
> rep("11",6),rep("12",6),rep(" 13",6)))> example.3 levels replicate
> conditions1 43.1111 0 112 42.0942 1 113
> 57.8131 2 114 57.1726 3 115 77.8678
> 4 116 44.7578 5 117 69.5078 0 128
> 52.0581 1 129 40.0602 2 1210 45.5487
> 3 1211 43.6201 4 1212 60.4939 5 1213
> 64.1932 0 1314 53.4055 1 1315 59.6701
> 2 1316 52.6922 3 1317 53.8712 4 1318
> 60.2770 5 13> m.example.3=lmer(as.numeric(
> levels)~conditions+( conditions|replicate),data= example.3)Error: number of
> observations (=18) <= number of random effects (=18) for term (conditions |
> replicate); the random-effects parameters and the residual variance (or scale
> parameter) are probably unidentifiable>
Please let me know if it is readable this time.
Again, many thanks for your time and please help me fix the issue.
Kind regards,
Ace
On Tuesday, November 14, 2017 12:19 PM, David Winsemius
<dwinsem...@comcast.net> wrote:
> On Nov 14, 2017, at 5:13 AM, Fix Ace via R-help <r-help@r-project.org> wrote:
>
> Dear R Community,
> My data have 3 conditions and each condition has 6 replicates. I am trying to
> fit my data for a linear mixed model using the lmer function from lme4
> package to find the random effects of the replicates;
Better venue for this question might be SIG-mixed-models. See the link
avaialble at the bottom of every posting from rhelp:
https://stat.ethz.ch/mailman/ listinfo/r-help:
> however, I got the error message. Here are the example codes:
>> example.3=data.frame(levels= as.numeric(XXX[,c(4)]),
>> replicate=rep(c("0","1","2"," 3","4","5"),3),conditions=c(
>> rep("11",6),rep("12",6),rep(" 13",6)))> example.3 levels replicate
>> conditions1 43.1111 0 112 42.0942 1 113
>> 57.8131 2 114 57.1726 3 115 77.8678 4
>> 116 44.7578 5 117 69.5078 0 128 52.0581
>> 1 129 40.0602 2 1210 45.5487 3
>> 1211 43.6201 4 1212 60.4939 5 1213 64.1932
>> 0 1314 53.4055 1 1315 59.6701 2 1316
>> 52.6922 3 1317 53.8712 4 1318 60.2770 5
>> 13> m.example.3=lmer(as.numeric( levels)~conditions+(
>> conditions|replicate),data= example.3)Error: number of observations (=18) <=
>> number of random effects (=18) for term (conditions | replicate); the
>> random-effects parameters and the residual variance (or scale parameter) are
>> probably unidentifiable>
> Could anyone help me figure out how to fix the issue?
> Thank you very much for any inputs!
> Ace
>
> [[alternative HTML version deleted]]
Complete mess. If you haven't yet been advised to posting in plain text, then
this should be your wakeup call. If you have, then why are you ignoring
sensible advice?
>
> ______________________________ ________________
> R-help@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
[[alternative HTML version deleted]]
______________________________ ________________
R-help@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.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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