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Okay, someone explain this behaviour to me: Browse[1]> replace(rep(0, 4000), temp1[12] , temp2[12])[3925] [1] 0.4462404 Browse[1]> temp1[12] [1] 3926 Browse[1]> temp2[12] [1] 0.4462404 Browse[1]> replace(rep(0, 4000), 3926 , temp2[12])[3925] [1] 0 For some reason, R seems to shift indices along when doing this replacement. Has anyone encountered this bug before? It seems to crop up

Apologies for thickness - I'm sure that this operates as documented and with good reason. However... My understanding of arima.sim() is obviously imperfect. In the example below I assume that x1 and x2 are similar white noise processes with a mean of 5 and a standard deviation of 1. I thought x3 should be an AR1 process but still have a mean of 5 and a sd of 1. Why does x3 have a mean of ~7?

...gt; temp1 <- sample(1:10000,20)   > temp2 <- runif(20)   > temp1[12] <- 3926   > temp2[12] <- 0.4462404   > temp1[12] [1] 3926   > temp2[12] [1] 0.4462404   > xxx <- replace(rep(0, 4000), temp1[12] , temp2[12])   > xxx[3925] [1] 0   > xxx[3926] [1] 0.4462404 OMMMMMMMMMMMMMMMMMM!     cheers,         Rolf Turner ###################################################################### Attention:\ This e-mail message is privileged and confid...{{dropped:9}} ------------------------------ Message: 122 Date: Wed, 27 May 2009 21:38:41 -0400 From: jim holtman <jholtman@gm...