search for: iwhit

...ces Error: couldn't find function predict.smooth.spline. The function smooth.spline() is OK. What am I missing? ====================================== I.White ICAPB, University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Fax: 0131 650 6564 Tel: 0131 650 5490 E-mail: iwhite at staffmail.ed.ac.uk

...lib/R/bin/Rcmd exec: INSTALL: not found. Indeed /usr/lib/R/bin seems to lack various shell scripts (INSTALL, REMOVE, etc). ====================================== I.White University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Tel: 0131 650 5490 Fax: 0131 650 6564 E-mail: iwhite at staffmail.ed.ac.uk

...tives. But I may have missed some reason why it can't be used. Perhaps it doesn't work when intercept=FALSE? ====================================== I.White ICAPB, University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Fax: 0131 650 6564 Tel: 0131 650 5490 E-mail: iwhite at staffmail.ed.ac.uk

...discrepancy between the two forms of output is > # confusing. > proc.time() [1] 1.60 0.08 1.65 0.00 0.00 > ====================================== I.White ICAPB, University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Fax: 0131 667 3210 Tel: 0131 650 5490 E-mail: iwhite@staffmail.ed.ac.uk ====================================== -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the &qu...

...ntercept model, with 90,000 cases and about 330 groups. I'm unable to get any results on the full data set. I can get it to work if I sample down to about 30,000 cases. But for models with N's much larger than that I get the following warning message: m3=glmmPQL(prepfood~iage+iemployed+iwhite+ieduclevl+imarried+servcomm+leadgrup+leadsty4, family=binomial, random=~1|congrega1,data=data) Error: cannot allocate vector of size 4135 Kb In addition: Warning message: Reached total allocation of 253Mb: see help(memory.size) I've tried increasing my virtual memory size, and also defragme...

...alEnv, package:methods, package:ctest, package:mva, package:modreg, package:nls, package:ts, Autoloads, package:base ====================================== I.White ICAPB, University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Fax: 0131 650 6564 Tel: 0131 650 5490 E-mail: iwhite@staffmail.ed.ac.uk

...g a 56K dialpool and VOIP connections with an Asterisk box over the same set of PRIs? We've done the PM3 with PRIs for just dialup, but are looking for a way to integrate our Asterisk box and move our voice calls onto the same PRIs. Ian -- Ian White Victoria Free-Net Association email: iwhite@victoria.tc.ca http://victoria.tc.ca/

...code that looks like this has been touched, and I haven't seen reference to it on this list. They are right in that the line information isn't being sent, looking at the SIP debugs on both ends. Anybody have ideas? Ian -- Ian White South Island Community Access Network (SICAN) email: iwhite@victoria.tc.ca

...error of a contrast, but not the value of the contrast itself. Wouldn't this be useful? Am I missing something? ====================================== I.White ICAPB, University of Edinburgh Ashworth Laboratories, West Mains Road Edinburgh EH9 3JT Fax: 0131 650 6564 Tel: 0131 650 5490 E-mail: iwhite at staffmail.ed.ac.uk

Could anyone help with a linear mixed model fitting problem ? The model is : Y= Xp + Zu + e where X, Z are known design matrix, p is fixed effect factor, u is random effect, u~ (0, G) , e~(0,R) The main problem is , I want to fix the covariance matrix G to be a constant times a known covariance matrix A, G = c*A (c is positive constant, A is a predefined matrix with values manually set by

I am seeking for a method to calculate, given a fitted lme model and some data for a subject, the random effects predictors for this subject. I can only find predictors for the subjects used in creating the fit. Of course I could just add the subject and redo the fit. But I want to avoid just this refitting. Thanks for help wbk

...model, with 90,000 cases and about 330 groups. I'm unable to get any results on the full data set. I can get it to work if I sample down to about 30,000 cases. But for models with N's much larger than that I get the following warning message: > > m3=glmmPQL(prepfood~iage+iemployed+iwhite+ieduclevl+imarried+servcomm+leadgrup +leadsty4, family=binomial, random=~1|congrega1,data=data) > Error: cannot allocate vector of size 4135 Kb > In addition: Warning message: > Reached total allocation of 253Mb: see help(memory.size) > > I've tried increasing my virtual memory...

Hi, You should look at Pinheiro and Bates (2000) Mixed-effects models in S and S-Plus. It describes how to format the correlation matrix to pass to functions lme and gls. Basically, the correlation matrix has to be one of the corStruct classes, probably corSymm for your example. So in the call to lme (or gls if you really have no random effects), use something like:

Hello everyone, I hope this is a fair enough question, but I don’t have access to a copy of Bates and Pinheiro. It is probably quite obvious but the answer might be of general interest. If I fit a fixed effect with an added quadratic term and then do it as an orthogonal polynomial using maximum likelihood I get the expected result- they have the same logLik.

Does lme prediction work correctly with poly() terms? In the following simulated example, the predictions are wildly off. Or am I doing something daft? Milk yield for five cows is measured weekly for 45 weeks. Yield is simulated as cubic function of weekno + random cow effect (on intercept) + residual error. I want to recover an estimate of the fixed curve. ############### library(nlme)

The use of the nonce looks right to me. Can somebody point out what is going wrong here? Jul 4 14:37:04 VERBOSE[12919]: Sip read: REGISTER sip:voip.victoria.tc.ca SIP/2.0 Via: SIP/2.0/UDP 199.60.222.229:5060;branch=z9hG4bKUF2CCx Max-Forwards: 70 To: pcnavideo <sip:pcnavideo@voip.victoria.tc.ca> From: pcnavideo <sip:pcnavideo@voip.victoria.tc.ca>;tag=w23oUOnv7kR Call-ID: