search for: modeldepths

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2012 Dec 20
4
comparison of large data set
Hi, how are you? I have the following truncated R code: fileobs <- "MaxFloodDepth_Observed.txt" file1 <- "MaxFloodDepth_1.txt" file2 <- "MaxFloodDepth_2.txt" ... file54 <- "MaxFloodDepth_54.txt" observeddepth = as.matrix(read.ascii.grid(fileobs)$data) observeddepth[observeddepth!=0]<-1 modeldepth1 =
2012 Dec 21
0
variable names in numeric list and Bayesian inference
...xFloodDepth_Observed.txt" readfun <- function(x) { u <- as.matrix(read.ascii.grid(x)$data) u[u != 0] <- 1 u } observeddepth <- readfun(fileobs) modeldepth <- lapply(files, readfun) mynames <- function(x) { variable.names(modeldepth, prefix = "ModelDepth.") x } modeldepths <- lapply(modeldepth, mynames) # here the objective is to assign the name of ModelDepth1: ModelDepth54 for the 54 numeric entries in the modeldepths element to use this information in later steps. I need to know which ModelDepth element (1:54) is still relevant after I determine f2 for each of t...