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Hello! I'm trying to build a lower triangular matrix (with zeros in the diagonal) from a particular dataframe. The matrix I have to construct has 203 rows and 203 columns and that makes 20503 values to be included within (that's why I can't do it manually). To illustrate the dataframe I have, I'll give you an example of a dataframe and matrix with dimensions 6x6 (to make it

Hello all, I'm trying to group several consecutives rows (and assigning them the same value) while leaving some of the rows empty (when a certain condition is not fulfilled). My data are locations (xy coordinates), the date/time at which they were measured, and the time span between measures. Somehow simplified, they look like this:

Dear R-helpers, I'm stuck with a little problem that surely has an easy solution but I can't think of a way to solve it. I'd really appreciate any help you can offer me! I'll provide a small example. Given a dataframe data.txt that looks like this: ID freq Var Var_mean Ratio_mean Var_median Ratio_median Var_sum Ratio_min Var_max Ratio_max Var_min

Dear R experts, I'm using the adehabitatHR package in order to perform a kernel analysis and estimate the home range of my input data (GPS relocations of 42 individuals). I've done the analysis for one of the individuals and it worked perfectly (see code below). But now I'm trying to use a list and call the function lapply to do the same thing through all the 42 individuals (also see