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...method for generating the sample using the lhs library, then I will try using the pse library. Generally when you have a package specific question, you should try to contact the package maintainer first. set.seed(1) # I don't think your model has only one parameter, so I will include multiple input_parameters <- c("dispersal_distance", "temperature", "pressure") N <- 50 exponential_rate <- 1/30 library(lhs) X <- randomLHS(N, length(input_parameters)) dimnames(X) <- list(NULL, input_parameters) # X is now a uniformly distributed Latin hypercube head(X) his...

...generated by the LHS for all distance classes at the first line of the data frame. library(pse) q <- list("qexp", "qunif", "qunif") q.arg <- list(list(rate=exponential_rate), list(min=0, max=1), list(min=0, max=1)) uncoupledLHS <- LHS(model=model_function, input_parameters, N, q, q.arg) hist(uncoupledLHS$data$dispersal_distance, breaks=10) tabLHS <- get.data(uncoupledLHS) Sorry, it?s the first time that I perform a sensitivity analysis using the LHS. Thank you very much for your time. Have a nice day Nell ________________________________ De : Rob C &l...

...e classes at the first line of the data frame. > > > > library(pse) > q <- list("qexp", "qunif", "qunif") > q.arg <- list(list(rate=exponential_rate), list(min=0, max=1), > list(min=0, max=1)) > uncoupledLHS <- LHS(model=model_function, input_parameters, N, q, q.arg) > hist(uncoupledLHS$data$dispersal_distance, breaks=10) > > tabLHS <- get.data(uncoupledLHS) > > > > Sorry, it?s the first time that I perform a sensitivity analysis using the LHS. > > > Thank you very much for your time. > > Have a nice day &...

Hi, how are you? I have 1000 total columns with 100 rows and I have shown 4 columns of 100 rows below. I want the zeros to be read in as numerical or integer values rather than a character. Right now I have a 100x0 character matrix rather than a 100x1000 double matrix. What do I need to do to read in a .csv spreadsheet with counting the zeros as a numerical or integer value? Thank-you. Irucka

...ot;. Instead I want this to be a "101x1000 double matrix". What needs to be done to make the .csv into a double matrix rather than a character matrix when the first row is all zeros (0s)? Thank-you. Irucka Embry This is the code that I am using: Input <- as.matrix(read.csv("Input_Parameter.csv", header = TRUE, sep =",")) Input <- as.matrix(Input[,-1]) # remove column 1 from analysis This is some of the values that are being read from the .csv file: Time (day) 1 2 3 4 0 0 0 0 0 1 0.16387 0.60612 0.87705 0.83798 2 0.32774 1.2122 1.7541 1.676 3 0.4916 1.8184 2.6312...