Thanks for your help and for being so patient with me
Daniel Malter wrote:
>
> Do:
>
> length(variablename)
>
> where variablename is in {mats,time,quar}, i.e. do it for each of them.
> This
> will tell you. Btw: I think you might wanna pickup an introductory manual.
>
> Btw. Peter Dalgaard
However, now a linear regression with a factor for quarterly effect doesn't
want to work for me:
t2<-lm(mats~time+quar)
and I get an error message:
"Error in model.frame.default(formula = mats ~ time + quar,
drop.unused.levels = TRUE) :
variable lengths differ (found for 'quar')"
Which variabl
gt;lines(fitted(t1)~time,col="blue")
>points(c(3),predict(t1,newdata=nmat),col="red")
Unfortunately for me, this example works and does plot fitted line and
predicted points. I really don't understand why I can't make the same
commands work when trying with my real life da
uep wrote:
>
> I'm trying to plot a time series (quarterly observations, seasonal effect,
> T=56),regression line and predicted point on the same plot.
> I'm using following commands:
>> plot(qdts,xlim=c(1982,1997))
>> lines(fitted(m2)~time,data=qd,col="
I'm trying to plot a time series (quarterly observations, seasonal effect,
T=56),regression line and predicted point on the same plot.
I'm using following commands:
> plot(qdts,xlim=c(1982,1997))
> lines(fitted(m2)~time,data=qd,col="red")
> points(predict(m2,newdata=nqd),col="blue")
where:
qdts<-
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