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Thanks in advance! A=c(1, 2,3) B=c (9, 10, 11, 12) I want to get C=c(1*9, 1*10, 1*11, 1*12, ....., 3*9, 3*10, 3*11, 3*12)? C is still a vector with 12 elements Is there a way to do that? -- View this message in context: http://r.789695.n4.nabble.com/how-to-calculate-the-product-of-every-two-elements-in-two-vectors-tp2300299p2300299.html Sent from the R help mailing list archive at Nabble.com.

...ded with NAs (The warnings are from the printing, not the making, of the data.frames.) I ran into this while using the DoE.wrapper package, which has what I think is a typo, giving "t" as the row.names for the output of mapply(): cross.design.R: ro <- as.data.frame(mapply("touter",ro1, ro2, "paste", sep="_"),"t") I don't know all the reasons why people use as.data.frame instead of data.frame. Bill Dunlap TIBCO Software wdunlap tibco.com [[alternative HTML version deleted]]

...|SERVER| My aim is to protect only the wireless links (the tow router) and the server with the VPN, but not the client node wich connects to the mesh-node by UTP. So far, I've made aVPN link with the 2 touters and the server, and at the mesh-node's tinc-up script, every traffic is goning through the VPN from the mesh-node, but the client can't reach the internet (as I saw from the tinc's logs, the traffinc goes to the gateway, but then stops). I'm attaching my configuration, please,...

...ded with NAs (The warnings are from the printing, not the making, of the data.frames.) I ran into this while using the DoE.wrapper package, which has what I think is a typo, giving "t" as the row.names for the output of mapply(): cross.design.R: ro <- as.data.frame(mapply("touter",ro1, ro2, "paste", sep="_"),"t") I don't know all the reasons why people use as.data.frame instead of data.frame. Bill Dunlap TIBCO Software wdunlap tibco.com [[alternative HTML version deleted]] ______________________________________________ R-devel at...

...function call so it might be preferred on that count. > A <- B <- 1:400 > out <- benchmark( + as.matrix = c(as.matrix(B) %*% A), + crossprod = c(tcrossprod(B, A)), + outer = c(outer(B, A)), + o = c(B %o% A), + kronecker = kronecker(A, B), + touter = as.vector(t(outer(A, B)))) > out[order(out$relative), ] test replications elapsed relative user.self sys.self user.child sys.child 1 as.matrix 100 0.92 1.000000 0.62 0.28 NA NA 3 outer 100 0.93 1.010870 0.59 0.35 NA NA 4 o 100 0.94 1.021739 0.66 0.28...