Displaying 4 results from an estimated 4 matches for "yoyra".
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yoyras
2009 Feb 06
1
Log transformation and -Inf values for use in glm()
...n -Inf values in some places,
though. I then receive an error when this matrix is used in the glm
function, and would like to know this can be avoided.
I have attempted several methods already including the use of
na.exclue commands in the glm statement:
> DistributionT<-glm(EarlyLn$yoyras~EarlyLn$temp,family=gaussian(link
> = "identity"),na.exclude)
I have also attempted to use the is.finite command:
EarlyLn$yoyras<-EarlyLn[is.finite(EarlyLn$yoyras)==T,]
I know another option would be to use a type of find and replace
command to remove entire rows of the matr...
2009 Jun 17
2
GAM function with interaction
...hen data from all dates are combined to
create a model from the entire dataset, I think I need to include some
type of metric/variable/interaction term to account for this date
relationship. I have written the following code using a "by" term:
Distribution.s.temp.logwm2.deltaT<-gam(yoyras~s(temp,by=datecode)+s(logwm2,by=datecode)+s(DeltaT,by=datecode),data=AllData)
However, I am not convinced this is the correct way to account for
this relationship. What do you think? Is there another way to include
this in my model? Maybe I should simply include date ("datecode") as...
2009 Nov 21
1
3-D Plotting of predictions from GAM/GAMM object
...vious assistance I received from this listserve!
My current question is: How can I create an appropriate matrix of
values from a GAM (actually a GAMM) to make a 3-D plot? This model is
fit as a tensor product spline of two predictors and I have used it to
make specific predictions by calling:
YoyRasPred6<-predict(YoyRas.Distribution.T.L.DT.gamm$gam,newdata=YoyRasSubset6,se.fit=T)
However, this type of command, I believe, produces only a vector of
values. I have plotted these values and know how to do so in 2-D.
However, I would like to create a 3-D plot, which I believe will require
an...
2009 Jun 23
1
Model fitting with GAM and "by" term
...hen data from all dates are combined to create a model
from the entire dataset, I think I need to include some type of
metric/variable/interaction term to account for this date relationship.
I have written the following code using a "by" term:
Distribution.s.temp.logwm2.deltaT<-gam(yoyras~s(temp,by=datecode)+s(logwm2,by=datecode)+s(DeltaT,by=datecode),data=AllData)
However, I am not convinced this is the correct way to account for this
relationship. What do you think? Is there another way to include this in
my model? Maybe I should simply include date ("datecode") a...