GLS - Plotting Graphs with 95% conf interval
Hi sam, I'm not familiar with the function with gls so can't help u with that.. But if u get no joy on this list there is a mixed effects list called r-sig-me. Chris Howden Founding Partner Tricky Solutions Tricky Solutions 4 Tricky Problems Evidence Based Strategic Development, IP Commercialisation and Innovation, Data Analysis, Modelling and Training (mobile) 0410 689 945 (fax / office) chris at trickysolutions.com.au Disclaimer: The information in this email and any attachments to it are confidential and may contain legally privileged information. If you are not the named or intended recipient, please delete this communication and contact us immediately. Please note you are not authorised to copy, use or disclose this communication or any attachments without our consent. Although this email has been checked by anti-virus software, there is a risk that email messages may be corrupted or infected by viruses or other interferences. No responsibility is accepted for such interference. Unless expressly stated, the views of the writer are not those of the company. Tricky Solutions always does our best to provide accurate forecasts and analyses based on the data supplied, however it is possible that some important predictors were not included in the data sent to us. Information provided by us should not be solely relied upon when making decisions and clients should use their own judgement.
On 12/07/2011, at 2:02, "Cox, Samantha Lucy" <s.cox.10 at aberdeen.ac.uk> wrote:
Hi, I am new to this group. Firstly I am just wondering if there is a search option to look through back dated achrives (rather than having to mannually sift through all the threads by month)?
Secondly (and the subject of this post) I am trying to plot the original data with the line of the model using the predict function. I want to add SE to the graph, but not sure how to get them out as the predict function for gls (package nlme) does not appear to allow for SE=TRUE argument.
Here is my code so far:
f1<-formula(MaxNASC40_50~hu3+flcmax+TidalFlag)
vf1Exp<-varExp(form=~hu3)
B1D<-gls(f1,correlation=corGaus(form=Lat~Lon, nugget=TRUE),weights=vf1Exp , data=ocean)
ochu3<-seq(from=2.9,to=4,length=120)
ocflc<-seq(from=0,to=0.8,length=120)
tidal1<-rep(c("1"),length=120)
mydata1<-data.frame(TidalFlag=factor(tidal1),hu3=ochu3,flcmax=ocflc)
lineNASC1<-predict(B1D,newdata=mydata1,type="response")
lineNASC1<-as.data.frame(lineNASC1)
plot(ocean$MaxNASC40_50[ocean$TidalFlag==1]~ocean$flcmax[ocean$TidalFlag==1)
lines(lineNASC1$lineNASC1~mydata1$flcmax)
Tidal Flag is a factor (so i assume i have to plot seperate graphs for each level).
When I have tried to use the effects package I get the error: Error in x$formula : object of type 'symbol' is not subsettable.
Also (regarding plotting but a different modelling framework) when i have been trying to predict values from a zero inflated negative binomial (package pscl), I am getting the same line of fit regardless of what is on my X axis (depsite different variables have positive and negative relationships).
any imput on any of these problems would be appreciated.
Thanks
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