similar to: read.table() with "\t" as seperator, all other programs report equal fields each row, read.table() returns unequal row length error

Dear R users, I need to merge two data frames based on both equal and unequal comparisons. The "sqldf" package used to work well , but today, I cannot resolve the following error by reinstallation of the sqldf package. Can anyone suggest a different way to perform this kind of merge function? Thank you, Ding > DMRlog2pbde47DMS <- sqldf("select * from DMR_log2pbde47 as a

Dear list I used to use python or awk do preliminary process and then feed into R. In some circumstances, the data transmission becomes quite a pain. I am wondering if there is a convenient way to read in R text file (not data, text file in common sense) and specify field separator and records separator, so the whole work can be reduced to one-stop shopping. or simply, is there one simple way to

Dear R users the factanal pacakge is always MLE, which package can do varimax rotation with the results from princomp ? thank you yong

Dear all: I have a tab delimited file as following AGE WEIGHT PROTEIN ........ 6 20 3 ........ 8 39 4 ........ I tried to read it as following: data <- read.table(file,sep="\t",header=T); but there is only column for the data after reading in,: dim(data); [1] 200 1 the column name is "AGE...WEIGHT...........PROTEIN...." Any quick suggestion will be appreciated.

Dear list; How can I speed up the run of following code (illustrative) #======================================================================== con<-vector("numeric") for (i in 1:limit) { if(matched data for the ith item found) { if(i==1) {con<-RowOfMatchedData } else {con<-rbind(con,matchedData)} } }

Dear List I am running a loop downloading ?web pages and save the html to a temporary file (use download.file() ) ?then read (using readLines) ?it in for processing; finally write useful info from each processed page to a unique file the problem is once the loop runs up to somewhere near ?5000, it will throw out an err like below and won't go further.

Dear all can anybady tell me how to seperate R's input and output screen?I mean just like SAS or some others, the commands does not mixed with results. thank you

Dear R-list My question is exactly as the subject, I did search the archieve but failed to find relevant message, in more details: The simplest example, 4 factors and 4 value like below: 10 20 30 40 A B C D if I plot the value, the x-axis will be scaled as 1,2,3,4 with each represent a level. How can I change the x-axis scale to A,B,C,D ? Regards young

Dear list I am trying installing a package under unix, the command as below works in some case but not some other cases, the primary syndrome is R will stop there with a message: (say I am trying to install the package SASxport) ########################### Warning in install.packages("SASxport", dependencies = TRUE) : argument 'lib' is missing: using

HI, Do anyone know where btrfs_print_tree is invoked? thanks. -- Regards, Zhi Yong Wu -- To unsubscribe from this list: send the line "unsubscribe linux-btrfs" in the body of a message to majordomo@vger.kernel.org More majordomo info at http://vger.kernel.org/majordomo-info.html

Hello- I have run an ANOVA on 4 treatments with unequal sample sizes (n=9,7,10 and 10). I want to determine where my sig. differences are between treatments using a Bonferroni test, and have run the code: pairwise.t.test(Wk16, Treatment, p.adf="bonf") I receive an error message stating that my arguments are of unequal length: Error in tapply(x, g, mean, na.rm = TRUE) :

llvm code generator lowers both integer and pointer types into ixx(say, i16, i32, i64, ...). This make senses for some optimizations. However, integer registers and pointer registers is expilicitly distinguished from each other for some architectures, like TriCore, Blackfin, and our lab prototype dsp, which accelerates address computation and memory access. I have already read this mail thread:

Dear Douglas and R-help, Does lme assume normal distribution AND equal variance among groups like anova() does? If it does, is there any method like unequal variance T-test (Welch T) in lme when each group has unequal variance in my data? Thanks, Shirley

Hi, I am doing multiple regression, and have several X variables that are categorical. I read that I can use dummy or contrast codes for that, but are there any special rules when there're unequal #observations in each groups (4 females vs 7 males in a "gender" variable)? Also, can R generate these codes for me? THanks.

Hello, I have some patient data for my masters thesis with three groups (n=16, 19 & 20) I have completed compiling the results of 7 tests, for which one of these tests the variances are unequal. I wish to perform an ANOVA between the three groups but for the one test with unequal variance (<0.001 by both bartlett and levene's test) I am not sure what to do. I thought i would run

David, thanks for your immediate response. Since iPTR is a reserved type for tablegen internal use, can you make a further explanation? On the other hand, it can be simply treated as a register class assignment problem during register allocation. Assume both pointer and integet have a 32 bit width. backend handles it just as to i32. When it performs register allocation, it can retrieve from

I am using levelplot() from lattice with grids that have unequal cell sizes. This means that the boundary between two cells is not always half-way between nodes, as levelplot() assumes. The result is that some cell sizes are rendered incorrectly, which can be painfully obvious if using relatively large cells. Is there any work-around? I am using the conditioning capability of lattice and

We also have this problem, and have added iPTR types to the back end. Our pointers are actually fat pointers, so this also requires tweaking some optimisations (for example, things like to turn GEPs with 64-bit offsets into pointer-sized offsets, but our pointers are larger than any integer type that we support...). Most of the changes are a bit ugly, and I'm loath to upstream them without

Hi, i'm looking for an R function to fit a one-way ANOVA with one factor containing 10 levels. The factor levels have different numbers of observations (varying between 20 to 40). For most of the dependent variables i'm testing there are unequal variances among the factor levels. I see the function oneway.test: oneway.test(variable ~ factor, data=dataset) which by default does not

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