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Hi, I have a question about a special recursive filter problem. What I have: - given variables: x: time series with rather randomly occuring '0' and '1' wait: non negative integer - a working but ineffectiv implementation (see below) How the implementation works (what I want): The filter should drill holes of distance 'wait' between the '1' in x, e.g. x =

I have 2 vectors A and B. For each element of B I'd like to find the index of the next higher or equal element in A. And I'd like to store it effectiv. E.g.: A <- c(1,3,7,8,10) B <- c(5,8) result: 3, 4 I have a possibility but for long vectors it works not very effectiv: ans <- sapply(B, function(x) which.max(A[A < x]) ) as.integer(ans + 1) Is there anyone how has a better

Dear Helper, I have a spatial lines data frame object 'spRiverDf'. The data frame consists of numbers {0,1,...,5}. And I have a vector 'colorS' of length 6 with different colours. If I make a plot with spplot I get a plot of the lines - colours depending on there number in the data frame column: spplot(spRiverDf['data.col.1'], zcol=..., names.attr=...,