search for: mutlipliers

Hi, I just started using R for about one week and I have few problems. i)I have a problem in finding right function to convert a table of natural numbers to bitwise. For a simple example; I have the below table:- Column Col1 Col2 Col3 Sample1 5 7 10 Sample2 0 2 1 Sample3 4 0 0 Supposedly i wanted to convert to :- Column Col1 Col2 Col3

I am sure there is a simple solution to this... I have a column in a data frame specifying a grouping (1, -1) for my observations, and need to mutliply each observation in all the other columns of the data frame by the corresponding value in the given column. I played with apply, and saw some suggestions for sweep, but did not manage to get it working. My table contains NAs.... Example of

I am fitting a reduced form VAR model using VAR in the vars library. I have several endogenous variables, and two exogenous variables. I would like to explore the effects of a shock to one of the exogenous variables on one of the endogenous variables. Using irf in the vars library only calculates the irf for the endogenous variables, this is obviously by design, is there some theoretical

Extracting from data frame one element at a time the way you did is expensive. I.e., test[i, 6] is slower than test$whatever[i]. As an example: > dat <- data.frame(a = sample(LETTERS, 1e6, replace=TRUE), b=1:1e6, + c=rep("A", 1e6)) > dat$a <- as.character(dat$a) > dat$c <- as.character(dat$c) > > system.time( + for(i in 1:10) { + dat[i, 3]

OK, here it is. Near perfect bandwidth calculation for ADSL users. Patch iproute2 with the HTB stuff and then this: It''s still a hack (as far as I can tell) because we are patching the rates tables, and hence I think it is only loosly coupled with the actual calculation of bytes in each bucket. However, it works very nicely for me! I have only been lightly testing with