On 4/25/05, Fernando Saldanha <fsaldan1@gmail.com> wrote: 
> 
> One thing that has given me trouble is the fact that the time series
> implementation in the class ts relies on the concept of a "start" to
> the time series. For example, if I have
> 
> ts1 <- ts(c(1,2,3))
> 
> dts1 <- diff(ts1)
> 
> then dts1 will be a vector c(1,1) but with the attribute start = 2.
> 
> Similarly, when one takes lags the "start" is moved around and the
> underlying vector itself is left untouched.
> 
> Now, data frames seem to be able to deal with this. That is, if I do
> regressions involving these time series objects the data is correctly
> aligned. However, for some functions, like for example pairs() the
> data is misaligned. For example, if I call pairs with a series and
> itself lagged once and twice as the three arguments I only get points
> in the diagonals. The start attribute is ignored.
> 
> Is there a simple way to avoid this problem? That is, is there a way
> to keep the data aligned by having functions take the start attribute
> into account?

 Bind your series, x, together with its lags to produce xx and then
work with xx:
  x <- ts(seq(10)^2) # test data
 xx <- cbind(x = x, lagx = lag(x), lag2x = lag(x,2)) 
 Depending on what you are doing you may or may not need to remove the 
NAs that are generated from this:
  xx.na <- na.omit(xx)

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