similar to: rnorm command

Hi, I'm trying to user lmer function from lmerTest package because, if I understood correectly, it allows to make better inference than lmer method from lme4 package. However, whatever I do I keep getting this error: Error in lme4::lFormula(formula = mark ~ ssCount + sTime+ : rank of X = 1660 < ncol(X) = 1895 any ideas what could be a problem? thanks, Srecko [[alternative HTML

Hello, Is there a way to get the Var-Cov matrix from the LMER function? Thanks [[alternative HTML version deleted]]

Dear R group, Tried to turn off the html in yahoo.  So far  not successful.  Apologies! I tried to get xyplot shrink fit for my mixed model.  But, the mixed model line is not seen in the graph. I would like to know if there is anything wrong with my code. Thanks, A.K. (fm1 <- lmer(Response3 ~1+ Wavelength*Start_Resp*time + (1|resid) + (1+time|Subject_BDat), family=binomial, data=Behavdat,

Are they the same with .RData being the newer format?? Thanks, ...Tao

Dear all, I have an R script that uses Rcpp, and I have been trying to parallelize it using mclapply (I tried with the multicore and the parallel library) Sometimes (not always, interestingly), the CPU use for each core drops, usually so that the total over all cores reaches 100%, i.e., as fast as if using just one single core fully. I tried my code directly from within emacs, and also using a

Hello r-help, I've been banging my head against the computer in an attempt to learn how to divide my matrix into segments by rows. I want to be able to return each segment as a newly named object. I've tried looking at the apply functions and creating a for loop but brain no work. Here's the basic starting objects that I believe would be needed to separate the matrix. mat <-

Dear R users, I am running simulations (1000), and in my simulation I am looking at specific sums. For example, if the sum is >=4 then count this, if say <3, then don't count, if the sum=3, then generate a random number from uniform distribution, if this number is say less than 0.5, then count this sum, if greater than 0.5, then don't count. I am having trouble with introducing this

Hi all: My OS is 32bit winxp,but I wanna install 64bit R2.14.1. >From the following website,it says "You can also go back and add 64-bit components to a 32-bit install, or vice versa" http://cran.r-project.org/bin/windows/rw-FAQ.html#Can-both-32_002d-and-64_002dbit-R-be-installed-on-the-same-machine_003f Does it mean that I can install and run 64bit R2.14.1 under 32bit

In the following data.frame there are 6 columns, but 7 are written to the CSV file. install.packages("pmlr") library(pmlr) data(enzymes) write.table(enzymes, sep=",", eol="\n",file="albert.csv")

Hi users. I'm new user in R. I'm workiing with Time series and I would like to know how can I do to undo the command DIFF(X), for exemple: If I have the model: m=arima(X, order=c(0,1,1), seasonal=list(order=c(0,0,1))) (note that have d=1 one difference), to find, in the same scale, the original numbers (like one "unDiff"), after the forecast, I need to develop some function or in

Hi, I am trying to normalize some data. First I fitted a principal curve (using the LCPM package), but now I would like to apply a transformation so that the curve becomes a "straight diagonal line" on the plot. The data used to fit the curve would then be normalized by applying the same transformation to it. A simple solution could be to apply translations only (e.g., as done after a

Hello R, could you tell me please, how to fix this issue? There is installed RStudio-2.15.2 and the next steps where follow but the message appears: http://cran.r-project.org/web/packages/RMySQL/INSTALL): > > 1. Download the RMySQL_0.9.tar.gz file to the folder C:\Program > Files\R\R-2.15.1\bin\x64 > 2. Open a Windows command line, and change directory to that folder > 3.

Hello, i am working in origin pro, i want to plot a graph as like a pdf attached but with black and white lines. here radial axis varies from 0 to 1. and angular axis from 0 degree to 60 degree.and third axis which is depend on both radial and axial gives non intersecting lines. how can i read the data from plot for replot. vikas -------------- next part -------------- A non-text attachment was

I need to run a bash command, but when you call system() the default shell is sh (see my sessionInfo below). I found the shell command ( http://www.stat.ucl.ac.be/ISdidactique/Rhelp/library/base/html/shell.html) but it seems to be disappeared in current versions of R? I am running all this from R CMD BATCH with "system" calls to other R scripts. For a little more info, I'm

I have two regressions to perform - one with a metric DV (-3 to 3), the other with an ordered DV (0,1,2,3). Neither normal distribution not homoscedasticity is given. I have a two questions: (1) Some sources say robust regression take care of both lack of normal distribution and heteroscedasticity, while others say only of normal distribution. What is true? (2) Are there ways of using robust

Jeff, I wanted to let you know that your function is faster than generating the directional circular permutations and weeding. Here is the time for n = 10. I compared with just doing the permutations, there is no point in proceeding further with the weeding since it is slower at the start itself. system.time(directionless_circular_permutations(10)) user system elapsed 1.576 0.000

is it possible to throw a stop() that is so hard that it will escape even tryCatch? /iaw ---- Ivo Welch (ivo.welch at gmail.com)

Dear all, In a plot command like xyplot(Y~X|ID*PERIOD,data=...) xyplot will generate all the possible ID*PERIOD combinations. But not all of them have data in there. So I have a lot of empty plots. How can I suppress those empty plots and ask xyplot only to generate plots actually with data. Thanks. Jun [[alternative HTML version deleted]]

How to call a function from another r file ? Anyone can help me . Having a function named like fun1 which is saved in r file file1.r and i have another r file like file2.r, and i need to call the fun1 (which is in file1) within file2. Thank you -- View this message in context: http://r.789695.n4.nabble.com/function-call-from-another-r-file-tp4650627.html Sent from the R help mailing list

Hello, I have a for loop that generates data in R. With the IML program, I would like to analyze data in SAS from each iteration of the for loop in R. It would be helpful if someone could explain to me how to analyze data this way. Thanks [[alternative HTML version deleted]]