similar to: accessing elements located after $ symbol

Hello R-users, I have a very large vector (a) containing elements consisting of numbers and letters, this is the i.e. a [1] "1.11.2a" "1.11.2d" "1.11.2e" "1.11.2f" "1.11.2x1" "1.11.2x1b" [7] "1.11.2x2" "1.11.2x2a" "1.11.2x2b" "1.11.2x3" "1.11.2x4"

Hi R-users, I have a function (myfun) that I want to apply to the rows of a matrix. Basically, "myfun" takes the values from the matrix ("exp.des"), which represent the different combinations of my experimental design, and pass them as arguments to some other functions (fun1 and fun2). As I want to replicate the results of fun1 and fun2 a certain number of time (e.g. 5), I

Hi R-users, I have a list mylist <- list(c(0.79, 0.92, 0.91, 0.86, 0.96, 0.96, 0.95, 0.94, 0.99), c(0.28, 0.45, 0.59, 0.69, 0.80, 0.87, 0.95, 0.94, 0.98), c(0.29, 0.39, 0.59, 0.69, 0.68, 0.80, 0.93, 0.95, 0.98)) Is there a way to find the index of the list element that contains the lowest value among all the other elements? As the lowest value in each element is the first, the

Hi R-users I would like to extract the random effects ("1|SITE", "1+SPECIES|SITE" and "BA|SITE") from this model formula: Full_model <- formula (VAR ~ (1|SITE) + (1+SPECIES|SITE) + (BA|SITE) + HEIGHT + COND + NN_DIST) I tried: terms(Full_model) labels(terms(Full_model)) but I could not distinguish between random and fixed effects. thanks

Hi r-users, I have a matrix B and a list of 3x3 matrices (mylist). I want to calculate the quantiles in the list using each of the value of B as probabilities. The codes I wrote are: B <- matrix (runif(12, 0, 1), 3, 4) mylist <- lapply(mylist, function(x) {matrix (rnorm(9), 3, 3)}) for (i in 1:length(B)) { quant <- lapply (mylist, quantile, probs=B[i]) } But quant

I R-users, I am trying to find the way to manipulate a character string to select a 4 digit number after some specific word/s. Example: mytext <- "I do not want the first number 1234, but the second number 5678" Is there any function that allows you to select a certain number of digits (in this case 5678) after a particular word/s (e.g., second number) Thank you for your help

Hi R-users I can not change the name of one column only of my matrix. my_matrix <- matrix (1:12,ncol=3) colnames(my_matrix)[1] <- 'myname' Error in dimnames(x) <- dn : length of 'dimnames' [2] not equal to array extent thank you for your help Lorenzo [[alternative HTML version deleted]]

Hi R users I am wondering how I can avoid automatic coercion of my numeric vector elements to character init <- c(age='N', R=as.numeric(0.5), S=as.numeric(0.8)) I have used as.numeric() but it does not seem to work Thank you Lorenzo [[alternative HTML version deleted]]

Hi R users I am trying to run a non linear parameter optimization using the function optim() and I have problems regarding memory allocation. My data are in a dataframe with 9 columns. There are 656100 rows. >head(org_results) comb.id p H1 H2 Range Rep no.steps dist aver.hab.amount 1 1 0.1 0 0 1 100 0 0.2528321

Hi R-users, To automate the creation of scripts, I converted the code (example below) into a character string and wrote the object to a file: Repeat <- " myvec <- c(1:12) cat('vector= ', myvec, '\n') " write (Repeat, 'yourpath/test.R') the problem is that one line of the code is a "cat" command. In the output file (i.e. test.R), the newline

Hi R users I was wondering on how to use lapply & co when the applied function has a conditional statement and the output is a 'growing' object. See example below: list1 <- list('A','B','C') list2 <- c() myfun <- function(x,list2) { one_elem <- x cat('one_elem= ', one_elem, '\n') random <- sample(1:2,1) show(random)

Hi R-users, I would like to create an expression without evaluating it. Then paste that expression to an object. Example: Result <- paste('Result', 1, sep="") paste(Result, substitute(apply(exp.des[1:10,], 1, one.row, parms=parameters)), sep="<-") However this pastes EACH element of the unevaluated expression. Instead I just would like the expression

Hi R-users I have a series of matrices and I would like to bind them together by column using a loop (i.e. not writing cbind(matrix1, matrix2,matrix3....)). The reason is because in my real data set I have a very large number of matrices. Example: matrix1 <- matrix (1:12,4,3) matrix2 <- matrix (13:24,4,3) matrix3 <- matrix (25:36,4,3) matrix4 <- matrix (37:48,4,3)

Hi, I have the following matrix cc <- matrix (1:21, 3) cc[,3:4]<- 0 cc [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 1 4 0 0 13 16 19 [2,] 2 5 0 0 14 17 20 [3,] 3 6 0 0 15 18 21 and I would like to sum just the values in columns 2, 3 and 4, so to have something like 1 4 13 16 19 2 5 14 17 20 3 6 15 18 21

Hi R users I have these two vectors: Row <- sample(1:25, 10) Col <- sample(1:25, 10) Is there a way to combine them into a list, whose first component is a vector containing the first element of Row and the first element of Col, the second component is a vector containing the second element of Row and the second element of Col, and so on... Thanks you Lorenzo

Hi R users, Working from a PC, I am trying to install the spatstat package on a Unix cluster. I created the following PBS file to send a job array: #!/bin/bash -ue #PBS -m ae #PBS -M my email #PBS -J 1-45 #PBS -A my username #PBS -N job name #PBS -l resources #PBS -l walltime cd $PBS_O_WORKDIR module load R/2.14.1 R CMD INSTALL -l /path/to/library spatstat R CMD BATCH

Hi R-users, I have a problem running my R code on a Linux cluster. What I did was write a .pbs file to instruct the cluster on what to do and how: #!/bin/sh #PBS -m ae #PBS -M uqlcatta@uq.edu.au #PBS -A uq-CSER #PBS -N job1_lollo #PBS -l select=1:ncpus=1:NodeType=fast:mem=8GB #PBS -l walltime=999:00:00 cd $PBS_O_WORKDIR source /usr/share/modules/init/bash module

Dear group, Here is my environment: > ls() [1] "DailyPL100419" "DailyPL100420" "DailyPL100421" "dd" "i" "l" "PLglobal" "Pos100416" "Pos100419" "Pos100420" "Pos100421" "position" [13] "result" "sel"

Hi R-users I am trying to use the GAM function of the mgcv package. But I am having problem trying to specify the k parameter. Although I managed to run some models by giving to the parameter some (random) value, and it is explained by Wood (2006) that it does not seem to "really" affect the final result, I would like to grasp better its meaning. I understand that is the

Hi folks, Win7 64bit R 1.12.0 I run following command on R:- > ToothGrowth > attach(ToothGrowth) > plot(dose,len) > matrics=lm(len~dose) > abline(metrics) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Only a grey diagram is displayed without content > plot(abline(metrics)) Error in int_abline(a = a, b = b, h = h, v