Dear R specialists,
I'm working with time series and want to investigate the relationship
between two time series by correlation analysis or by fitting a gen.
lineair model to the plot of x(timeserie1) and y(timeserie2).
Lin1 <- data.frame(
Nr = c(1:lengte),
NDII = window(ts.mNDII,c(1998,10),c(2003,11)),
InvERC = window(Inv.ERC,c(1998,10),c(2003,11))
)
summary(glm(NDII ~ InvERC, data=Lin1, family=gaussian(link ="identity")))
Error in "storage.mode<-"(`*tmp*`, value = "double") :
invalid time series parameters specified
How can I solve this error?
Are there specific functions which I can use to investigate the
relationship between two time series? (object ts is ok) �Does somebody
has some examples of how to solve this statistical problem? ARIMA, AR,
ACF of the package "ts" for time series analysis
Thanks a lot,
Best regards,
Jan Verbesselt
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