similar to: Concatenate two strings in one in a string matrix

Dear all this is a question of model specification in lme which I'd for which I'd greatly appreciate some guidance. Suppose I have data in long format gene treatment rep Y 1 1 1 4.32 1 1 2 4.67 1 1 3 5.09 . . . . . . . . . . . . 1 4 1 3.67 1 4 2 4.64 1 4 3 4.87 .

Hello I have a matlab MAT file that contains one single variable: a. The structure of a is as follows: a.river1.flow (flow values) a.river1.date_flow (date) a.river1.precip (precipitation values) a.river1.date_precip a.river2.flow a.river2.date_flow a.river2.precip a.river2.date_precip I have used readMat to load the variable a in R, however I have no idea how readMat translates a. I managed

Hello I am new to R and I need to convert some dates (numeric format by matlab) to actual dates in R. For instance, Matlab -> 730456 -> >> datestr(730456) ans = 02-Dec-1999 R - > library(zoo) > as.Date(730456) [1] "3969-12-03" I don't not mind the output format but it needs to be right. Many thanks Ed

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. The details of the model are: Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij}) y_{ij} = mu_{ij} + w_{ij} * *with* *logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. I'm so sorry. In the last email, I forgot to say that W is also a unknown parameter in the mixed beta regression model. In any case, here I send you the correct formulation. ** Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~

Dear R-users I need to fit a nonlinear model to a piece of data. The model to be fitted uses past values of the input and the ouput - something like y(k) ~ f(y(k-1),y(k-2),u(k),u(k-1) ....) (k is time index). As far as I know I could use earth(MARS), nnet and etc but I am not sure how to deal with the past values since most, if not all, examples I saw formula does not take in account past

Hello I need to run an r-file that works on Windows on MAC. The first lines of the file are: library(R.matlab) library(Rcompression) Somehow I cannot find where Rcompression is. Am I missing something? Many thanks Ed

Hi, This is most likely only a minor technicality, but I saw the following: On page 6 of the 'parallel' vignette (http://stat.ethz.ch/R-manual/R-devel/library/parallel/doc/parallel.pdf), the random-number generator "L'Ecuyer-CMRG" is said to have seed "(x_n, x_{n-1}, x_{n-2}, y_n, y_{n-1}, y_{n-2})". However, in L'Ecuyer et al. (2002), the seed is given with

Hello Please see the example below > class(testX) [1] "matrix" > class(testX[1,]) [1] "numeric" Why not matrix? What am I missing here? Is there a way to keep the same class? The reason for the question is that I want to implement a k-step ahead prediction for my own routines and R wrecks does not seem to like [1,] as shown below. >

Dear List, I have a list of 600+ *.gz files that I would like to extract and read the geotiffs contained within them. I tried using the untar() function to simplify this task but I am stumped by an error. I've combed the Internet for a solution without luck. The details are below, and any help in solving this matter is appreciated. > files = list.files(path = "J:/GIMMS/NDVI",

Dear all, I know that my question is somewhat special but I tried several times to solve the problems on my own but I am unfortunately not able to compute the following test statistic using the quantreg package. Well, here we go, I appreciate every little comment or help as I really do not know how to tell R what I want it to do^^ My situation is as follows: I have a data set containing a

i have a large longitudinal data set. The number of observations for each subject is not the same across the sample. The largest number of a subject is 5 and the smallest number is 1. now i want to make each subject to have the same number of observations by filling zero, e.g., my original sample is id x 001 10 001 30 001 20 002 10 002 20 002 40 002 80 002 70 003 20 003 40 004 ...... now i wish

Hello R is pretty new to me. I need to write a function that returns three matrices of different dimensions. In addition, I need to call a function from a contributed package with the function. I have browsed several manuals and docs but the examples on them are either very simple or extremely hard to follow. Many thanks Ed [[alternative HTML version deleted]]

Dear R users: I have a small test dataframe as the follows : math = c(80,75,70,65,65,70) reading = c(65,70,88,NA,90,NA) id = c('001','001','001','002','003','003') score = data.frame(id, reading, math) > score id reading math 1 001 65 80 2 001 70 75 3 001 88 70 4 002 NA 65 5 003 90 65 6 003 NA 70

Hi, I have a linear mixed-effects model object and want to extract the 95% confidence intervals for the fixed and random effects, respectively. I found the function intervals() for confidence intervals for the fixed effects but no corresponding function for the random effects. Does it exist or do I have to calculate the confidence intervals for the random effects myself? Greetings, joerg

Hello I have a huge file (not an R-file) in which the first column is a string with date, hour, minutes and seconds (For instance, "31-Jul-2010 23:59:00"). I tried as.Date but the error msg was "Error in charToDate(x) : character string is not in a standard unambiguous format". I have checked the help for the function as well as date but to no avail. How can that sort

Hi, Dear R- community, I am use the intToChar function to convert the integers to letters. But the output is mess. Can you guys give some suggestions? Thanks! > outcome.predict [1] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 4 4 4 4 4 4 4 4 [26] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 4 4 4 4 4 7 4 4 4 4 [51] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4

Dear R-Users, I have the following problem to solve and I wonder if there are means in R that can help me. At irregular time intervals I observe a random walk process, Y, with time-varying drift. I assume that the drift, D, is a (linear) function of some parameter X. The goal is to estimate D(X). I could regress Y_{t+dt} - Y_{t} ~ X, but it's probably not appropriate since Var(Y_{t+dt} -

Hi, I am developing a tool for converting a large data frame stored in an uncompressed binary (XDR) RData file to a delimited text file. The data frame is too large to load() and extract rows from on a typical PC. I'm looking to parse through the file and extract individual entries without loading the whole thing into memory. In terms of some C source functions, instead of doing

Have had no issue until I ran apt-get dist-upgrade this morning: # /lib/nut/newhidups -u nut -DDDDDD auto Network UPS Tools: 0.28 USB communication driver 0.28 - core 0.30 (2.0.5) debug level is '6' Checking device (0000/0000) (001/001) - VendorID: 0000 - ProductID: 0000 - Manufacturer: unknown - Product: unknown - Serial Number: unknown - Bus: 001 Trying to match device Device does not