similar to: Trouble in creating a list

Why does R CMD INSTALL work for some packages (e.g., lme4) but not others (e.g., nlme)? Thanks, Gang

Hi experts, I just started to learn R today, and tried to work with an add-on package sem. I have a version of 2.3.1 on MacOS X 10.4.6 with sem put under /Library/Frameworks/R.framework/Versions/2.3/Resources/library However when I typed library(sem) the following error showed up: Error in library(sem) : 'sem' is not a valid package -- installed < 2.0.0? Why is this? Thank

I want to run deconvolution of a time series by an impulse or point-spread function through Wiener filter, regularized filter, Lucy-Richardson method, or any other approaches. I searched the CRAN website and the mailing list archive, but could not find any package for such a deconvolution analysis. Does anybody know an existing R function for deconvolution? TIA, Gang

Suppose I have a 4-D array X with dimensions (dx, dy, dz, dp). I want to collapse the first 3 dimensions of X to make a 2-D array Y with dimensions (dx*dy*dz, dp). Instead of awkward looping, what is a good way to do this? Is there a similar function like reshape in Matlab? Thanks, Gang

For some unknown reason I stopped receiving any messages from the R- help mailing list. See if this test gets through. Thanks, Gang

This must be very simple, but I'm stuck. I have a command line in R defined as a variable of a string of characters. How can I convert the variable so that I can execute it in R? Really appreciate any help, Gang

I do not think anyone has answered this. > I'm trying to run a simple one-way ANCOVA with the lmer > function in R package lme4, but have encountered some > conceptual problem. The data file MyData.txt is like this: > > Group Subj Cov Resp > A 1 3.90 4.05 > A 2 4.05 4.25 > A 3 4.25 3.60 > A 4 3.60 4.20 > A 5 4.20 4.05 > A 6 4.05 3.85

Dear R users, Let's say I have a list with components being 'm' matrices (as exemplified in the "mylist" object below). Now, I'd like to subset this list based on an index vector, which will partition each matrix 'm' in 2 sub-matrices. My questions are: 1. Is there an elegant way to have the results shown in mylist2 for an arbitrary number of matrices in mylist?

Suppose I have a mixed-effects model where yij is the jth sample for the ith subject: yij= beta0 + beta1(age) + beta2(age^2) + beta3(age^3) + beta4(IQ) + beta5(IQ^2) + beta6(age*IQ) + beta7(age^2*IQ) + beta8(age^3 *IQ) +random intercepti + eij In R how can I get an F test against the null hypothesis of beta6=beta7=beta8=0? In SAS I can run something like contrast age*IQ 1,

dear all, I'm building new dataframes from bigger one's using e.g. columns F76, F83, F90: JJ<-data.frame( c( as.character(rep( gender,3))) , c( F76,6- F83, F90) ) Looking into JJ one has: c.as.character.rep.gender..8... c.6...F73..F78..F79..F82..6...F84..F94..F106..F109 1 w 2 2 w

Dear R Discussion List, I would like to save my data as a xlsx file. But at first I need to split it and then save each series into a Excel column. Please take a look at the following code: dados <- data.frame(matrix(c("2012-01-01","2012-02-01", "2012-03-01","2012-04-01","2012-05-01","2012-06-01",

Hi guys, I've registered some g729 licenses, during register process everything worked fine. astk2*CLI> show g729 0/0 encoders/decoders of 20 licensed channels are currently in use But I'm not able to use this codec. I'm trying to use a linksys PAP2 to talk using g729 but I got this answer from asterisk: Got SIP response 488 "Not Acceptable Here" back from

Dear useRs, Am trying to use xtable on the following data.frame and I don't get what I expect: example.table <- data.frame(rbind( c("Gender"," "," "," "), cbind(rep(" ",2),c("Male","Female"),c(3.0,4.0),c(3/7,4/7)) )) colnames(example.table) <- c(" "," ","number of

Dear Rowland, I changed smb.conf as its tip. I had already read about the ACL's Windows and Posix. Even changing the smb.conf and using the ACL methods, I still do not write access to the folder. Example: # mkdir /mnt/data/teste1 # ls -all /mnt/data/teste1 total 12 drwxrws---+ 2 administrator domain admins 6 Out 25 10:05 . drwxrwxr-x+ 10 root domain admins 4096 Out 25

Hi All, I have a problem with rbind. I have data that consist of weight height .. etc of 1000 patients. I would like to find the mean and the standard deviation ( for the weight , height etc) for each gender. data<-read.table("data.txt", header=T, sep='\t') fdata=NULL for (i in 1:50){ nn<-names(X)[i] m<-tapply(X[,i],data$gender,mean,na.rm=T) s<-tapply(X[,i],

Hey, Is it possible that R can calculate each options under each column and return a summary table? Suppose I have a table like this: Gender Age Rate Female 0-10 Good Male 0-10 Good Female 11-20 Bad Male 11-20 Bad Male >20 N/A I want to have a summary table including the information that how many answers in each category, sth like this: X

I have a list, myList, with each of its 9 components being a 15X15 matrix. I want to run a t-test across the list for each component in the matrix. For example, the first t-test is on myList[[1]][1, 1], myList[[2]][1, 1], ..., myList[[9]][1, 1]; and there are totally 15X15 t-tests. How can I run these t-tests in a simple way? TIA, Gang

Hello I have 2 datasets say Data1 and Data2 both are of different dimesions. Data1: 120 rows and 6 columns (Varname, Vartype, Labels, Description, ....) The column Varname has 120 rows which has variable names such id, age, gender,.....so on Data2: 12528 rows and 120 columns The column names in this case are V1, V2, ......... V120 (which are default names in R when we say head=F in read.csv)

Hi, I need to construct a formula programaticly, and pass it to a function such as the linear mixed model lme. The help says it requires "a two-sided linear formula object describing the fixed-effects part of the model" but I do not know how to create this formula. I have tried various things using formula(x, ...), as.formula(object, env = parent.frame()) and as.Formula(x, ...)

Dear all R users, I got a strange problem while working with SPSS data : I wrote following : library(foreign) data.original = as.data.frame(read.spss(file="c:/Program Files/SPSS/Employee data.sav")) data = as.data.frame(cbind(data.original$MINORITY, data.original$EDUC, data.original$PREVEXP, data.original$JOBCAT, data.original$GENDER)) colnames(data) = c('MINORITY',