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...+I(V2^4)+I(V2^5)+I(V2^6)+I(V2^7)+I(V2^8)+I(V2^9)+I (V2^10)" filePath <- paste(defaultPath, "//NISTtest.dat", sep="") download.file(reg.data, filePath, quiet=TRUE) A <- read.table(filePath, skip=60, strip.white=TRUE) lm.data <- lm(formula(model), A) lm.data Rob Carnell

...functions for a triangle distribution (rtriangle, dtriangle, ptriangle, qtriangle). The second package generates and augments Latin Hypercube Samples. Functions for generating random and optimized designs are provided. I look forward hearing your feedback and improving the documentation! Rob Carnell _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages

...functions for a triangle distribution (rtriangle, dtriangle, ptriangle, qtriangle). The second package generates and augments Latin Hypercube Samples. Functions for generating random and optimized designs are provided. I look forward hearing your feedback and improving the documentation! Rob Carnell _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages

Full_Name: Rob Carnell Version: 2.3.0 OS: Windows XP sp 2 Submission from: (NULL) (131.167.72.220) Thank you for all you work on R project! I noticed the following behavior today. It is what I believe to be an inconsistency. > qunif(.5, 0, Inf) [1] Inf > qunif(.5, -Inf, 1) [1] NaN Warning message: NaNs produc...

Hi I want to du a sensitivity analysis using Latin Hypercubes. But my parameters have to fulfill two conditions: 1) ranging from 0 to 1 2) have to sum up to 1 So far I am using the lhs package and am doing the following: library(lhs) ws <- improvedLHS(1000, 7) wsSums <- rowSums(ws) wss <- ws / wsSums but I think I can't do that, as after the normalization > min(wss) [1]

Hi all, I have a problem using rdirichlet{gtools}. For Dir( a1, a2, ..., a_n), its mode can be found at $( a_i -1)/ ( \sum_{i}a_i - n)$; The means are $a_i / (\sum_{i} a_i ) $; I tried to study the above properties using rdirichlet from gtools. The code are: ############## library(gtools) alpha = c(1,3,9) #totoal=13 mean.expect = c(1/13, 3/13, 9/13) mode.expect = c(0, 2/10, 8/10) #