similar to: read multiple dataset at one time

Hi everyone, Does anyone here has experience using MICE to impute missing value? I am having problem to pool the imputed dataset for a MANOVA test, could you give me some advice please? Here is my code: > library(mice) >

Hi all, I have a question, is there any R package dealing with latent transition analysis with both categorical and continuous indicators? So far what I found from GOOGLE are only packages dealing with latent class analysis. So what about the longitudinal situation? Any way we could look at the transition from one class to another across time points? Thank you very much. ya [[alternative

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

Has anyone got any advice about what hardware to buy to run lots of R analysis? Links to studies or other documents would be great as would be personal opinion. We are not currently certain what analysis we shall be running, but our first implementation uses the functions lme and gls from the library nlme. To do one data point currently takes 1.5 seconds on our 3 year old sunfire box, and

for example : I have files with the name "ma01.dat","ma02.dat","ma03.dat","ma04.dat",I want to read the data in these files into one data.frame flnm<-paste("obs",101:114,"_err.dat",sep="") newdata<-read.table(flnm,skip=2) data<-(flnm,skip=2) but the data only contains data from the flnm[1] I also tried as below : for

I'm having a problem with aggregate.formula when I call it in a function and the function is converted from a string in the funtion I think my problem may also only occur when the left hand side of the formula is cbind(...) Here is example code that generates a dataset and then the error. The first function "agg2" fails > agg2(FALSE) do agg 2 Error in m[[2L]][[2L]] : object

How do I remove a "$" character from a string sub() and gsub() with "$" or "\$" as pattern do not work. > sub("$","","ABC$DEF") [1] "ABC$DEF" > sub("\$","","ABC$DEF") Error: '\$' is an unrecognized escape in character string starting "\$" >

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

I am trying to merge two data frames, but one of the column headings are different in the two frames. How can I rjoin or rbind the tho frames? Johnny # Generate 2 blocks by confounding on abc d1 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk",

Dear R experts, I have been looking into the help-pages and old questions from the R-Help site, but the options offered there don't seem to work in my case. First of all, I am working on Windows XP, using R version 2.6.2. I am attaching two csv files as an example of how the data I am traying to put together is delivered to us. On the first row of every csv file is the name of the

Hello again, I'd like to determine if an Excel file is open or writable. Can anyone help me with that? I write some stats to an .xlsx Excel file using the xlsx package. I can't write to the file unless its closed. How do I determine if the .xlsx file is open or closed so I can write to it? I've looked at file.info and file.access and I couldn't get those to work for me. Any

Hi all, I am new in R tool. I would like to plot two dataset in in fig. Here is what I did for both a and b data sets jpeg(file="a.jpeg") dat<-read.table('a', header=F, sep=',') dim(dat) y<-dat[,1] y<-y[!is.na(y)] plot(y);lines(lowess(y, f=0.05), col = ("red"), lwd=5) dev.off Two questions: 1. How I can save this lowess smooth data? 2. Once I

How can I read a space-delimited file, where the data values for each case are folded before column 80, and so appear on two lines for each case? The first few cases look like this loc type bio H2S sal Eh7 pH buf P K Ca Mg Na Mn Zn Cu NH4 OI DVEG 676 -610 33 -290 5.00 2.34 20.238 1441.67 2150.00 5169.05 35184.5 14.2857 16.4524 5.02381 59.524 OI DVEG 516 -570 35 -268 4.75 2.66 15.591 1299.19

Imaginemos que tenemos una matriz con datos temporales por sujetos. Pongamos que numero de veces que ha jugado una carta en un juego online. Y que quiero saber cuantas veces jugo la carta el primer mes que estuvo en el juego. Pero claro mi matriz guarda los datos temporalmente de tal manera que: # data.table( Enero = c( 1, 4, NA , NA , NA) , Febrero = c( 2, 6, 1, NA, NA ) , Marzo = c( 8,6,7,3,

Dear experts, I tried to put the two plots into one final PNG figure with the following script. However instead of giving 2 plots in one figure, it only gives the the last plot in one figure. What's wrong with my script below? __BEGIN__ in_fname <- paste("mydata.txt.",sep="") out_fname <- paste("finalplot.png",sep="") dat <-

Dear R-users, I have encountered the following problem every now and then. But I was dealing with a very small dataset before, so it wasn't a problem (I just edited the dataset in Openoffice speadsheet). This time I have to deal with many large datasets containing commuting flow data. I appreciate if anyone could give me a hint or clue to get out of this problem. I have a .dat file

Dear all, I have been given a data something like below: Dat = "2 3 28.3 3.05 8 3 3 22.5 1.55 0 1 1 26.0 2.30 9 3 3 24.8 2.10 0 3 3 26.0 2.60 4 2 3 23.8 2.10 0 3 2 24.7 1.90 0 2 1 23.7 1.95 0 3 3 25.6 2.15 0 3 3 24.3 2.15 0 2 3 25.8 2.65 0 2 3 28.2 3.05 11 4 2 21.0 1.85 0 2 1 26.0 2.30 14 1 1 27.1 2.95 8 2 3 25.2 2.00 1 2 3 29.0 3.00 1 4 3 24.7 2.20 0 2 3 27.4 2.70 5 2 2 23.2 1.95

I have a few hundred .csv files in a folder on my hard drive, and I would like to combine them all into one file.  They are all the same data, but the program that collected the data saved a file every 4 hours.  I can combine the files one at a time using rbind, but am having a problem automating it in a for loop.  The loop runs for a while, and finally gives an error message "no lines

Hi, yesterday I installed the current R-devel and now I get the following warning message for program codes which made no problems under version R-1.2.3: Example: R> read.table("test.dat") Warning message: incomplete final line in: readLines(con, n, ok) where `test.dat' looks like peters at artemis:~ > cat test.dat 1 2 3peters at artemis:~ > i.e. without a newline

Hi everyone, I am trying to get the factor score for each individual case from a principal component analysis, as I understand, both princomp() and prcomp() can not produce this factor score, the principal() in psych package has this option: scores=T, but after running the code, I could not figure out how to show the factor score results. Here is my code, could anyone give me some advice please?