[R] lapply and kernelUD (adehabitatHR package): Home Range kernel estimation for a list of individuals

2012-10-30 Thread nymphita
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 a

Re: [R] Assigning values to several consecutives rows in a sequence while leaving some empty

2012-10-24 Thread nymphita
Thank you very much Michael and Berend for your ideas and feddback. I apologize for my mistakes. It's true that I still have much to learn (and I sometimes forget what I read). I'll surely use the dput() command next time I post something and I'll try to be more clear with my questions too. Be

[R] Assigning values to several consecutives rows in a sequence while leaving some empty

2012-10-21 Thread nymphita
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. Some

Re: [R] built a lower triangular matrix from dataframe

2012-02-16 Thread nymphita
Hi again, I just realized that in this solution there is something funny on the position the values in the matrix, they don't really correspond to the position indicated in the subscripts... However, David Winsemius has given a valid solution. Thank you for all your ideas! -- View this message i

Re: [R] built a lower triangular matrix from dataframe

2012-02-16 Thread nymphita
Problem solved. Many many thanks for your ideas!! (this site is very stimulant) :) -- View this message in context: http://r.789695.n4.nabble.com/built-a-lower-triangular-matrix-from-dataframe-tp4390813p4393619.html Sent from the R help mailing list archive at Nabble.com. _

Re: [R] built a lower triangular matrix from dataframe

2012-02-16 Thread nymphita
Hi Rui, Thank you very much for your idea. It works!!! I converted my dataframe into a vector (I first removed the header and the first and second column) and then tried your solution: > data <- as.vector(as.matrix(read.table(file="data.txt", head=F, > sep="\t")[-c(1,2)])) > data [1] 5.2 9.1 8.

Re: [R] built a lower triangular matrix from dataframe

2012-02-16 Thread nymphita
Hi Michael, Your answer was very interesting, thank you! However, I tried it and the result was: > df <- read.table(file="df.txt", head=T, sep="\t") > df i j k 1 1 2 5.2 2 1 3 9.1 3 1 4 8.0 4 1 5 2.3 5 1 6 8.4 6 2 3 6.6 7 2 4 7.4 8 2 5 7.1 9 2 6 5.5 10 3 4 4.1 11 3 5 3.9 12 3 6 9.2 1

Re: [R] built a lower triangular matrix from dataframe

2012-02-16 Thread nymphita
Hi David, What an good solution. It works perfectly and it's really simple. (I only removed the "1+" in ncol=1+max(j), it already has 6 columns) My result has been: > df <- read.table(file="df.txt", head=T, sep="\t") > df i j k 1 1 2 5.2 2 1 3 9.1 3 1 4 8.0 4 1 5 2.3 5 1 6 8.4 6 2 3 6

Re: [R] built a lower triangular matrix from dataframe

2012-02-15 Thread nymphita
Sorry, I just realized that it's not a lower triangualr matrix, but an upper triangular matrix! But still the solution/s should be rather similar in both cases. http://r.789695.n4.nabble.com/file/n4391127/matrix2.png I apologize for creating confusion... Nymphita -- View this messa

Re: [R] built a lower triangular matrix from dataframe

2012-02-15 Thread nymphita
Hi Tsjerk! Thanks for your quick reply! It's a nice way to built a lower triangular matrix with zeros in the diagonal, but what I can't work out is *how to include the values of the third column of the dataframe inside the matrix*. I just realized that I forgot to explain something about the data

[R] built a lower triangular matrix from dataframe

2012-02-15 Thread nymphita
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