Re: [R] calculate a "rolling mean" including standard deviation

Hello, Something like this? d <- myframe2$distance n <- length(d) mu <- rep(NA, n - 1) mu[n - 1] <- m <- mean(d[(n - 1):n]) s <- sd(d[(n - 1):n]) ex <- 0 for(i in rev(seq_len(n))[-(1:2)]){ if(d[i] < m + s){ ex <- 0 mu[i] <- m }else{ ex <- ex + 1 if(ex >=

Re: [R] calculate a "rolling mean" including standard deviation

Now I played around in Excel for the last two hours or so and solved my problem there. I know it is not really liked here but it worked. So I do not really need your help on this problem. If anyone knows on how to do it anyway I'd be very happy though!!! Nobody taught me more about R than this m

[R] calculate a "rolling mean" including standard deviation

Hello everyone, I have a data frame somewhat like this one: myframe <- data.frame (Timestamp=c( "24.09.2012 06:00", "24.09.2012 07:00", "24.09.2012 08:00", "24.09.2012 09:00", "24.09.2012 10:00", "24.09.2012 11:00", "24.0