similar to: how to find out whether a string is a factor?

Hi, I am confused by the way the indexing works. I read a table from a csv file like this: ysmd <- read.csv("ysmd.csv",header=TRUE); ysmd.table <- hash(); for (i in 1:length(ysmd$X.stock)) ysmd.table[ysmd$X.stock[i]] <- ysmd[i,]; the first column ("X.stock") is a string (factor): > ysmd$X.stock[[100]] [1] FLO 7757 Levels: A AA AA- AAAAA AAC AACC AACOU AACOW AADR

Hi, Prof Duncan I am sorry to report to a wrong place. But I am lucky to meet you by chance, right? Thanks first ^^ 1. The variable y1 is an array get from Perl, each element is from a database (the type should be numeric). Here is the code for that. $query = qq{ select exonCount, count(hsEnsGene) as geneCount from countTop1000ks group by exonCount order by exonCount;

Hi, Prof Duncan I am sorry to report to a wrong place. But I am lucky to meet you by chance, right? Thanks first ^^ 1. The variable y1 is an array get from Perl, each element is from a database (the type should be numeric). Here is the code for that. $query = qq{ select exonCount, count(hsEnsGene) as geneCount from countTop1000ks group by exonCount order by exonCount;

Hi I am new to R so I apologize if this is trivial. I am trying to predict the resistance or susceptibility of my sequences to a certain drug with a randomForest function from a file with amino acids on each of the positions in the protein. I ran the following: > library(randomForest) > > path <- "C:\\..." > path2 <- "..." > name <-

Hello All, I have a question about glm in R. I would like to fit a model with glm function, I have a vector y (size n) which is my response variable and I have matrix X which is by size (n*f) where f is the number of features or columns. I have about 80 features, and when I fit a model using the following formula,? glmfit = glm(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13

Dear R list, I have the following data: set.seed(1) n <- 5 # number of subjects tt <- 3 # number of repeated observation per subject numco <- 2 # number of covariates x <- matrix(round(rnorm(n*numco),2), ncol=numco) # the actual covariates x > x [,1] [,2] [1,] -0.63 -0.82 [2,] 0.18 0.49 [3,] -0.84 0.74 [4,] 1.60 0.58 [5,] 0.33 -0.31 I need to form a matrix

List, I have a printer on a BDC at the other end of a VPN tunnel, and updating the printer properties (such as loading additional driver files or configuring the paper size) of a printer that is installed on it is very slow, on the order of half an hour for basic operations. Just opening the properties dialog box results in all the driver files for the printer being read. Many times. Very slowly.

I got this mail from a cronjob and can't figure out what is causing rsync to crap out on me. I received the message at 5:03, when the cron job is scheduled to run at 4:00, so total runtime is approximately an hour. Machine that is fetching the files is a low-end G3 running Yellowdog 3.01, rsync --version 2.5.5. It has only 128 megs of ram, but isn't doing anything else. Transfers are

Hi, I am always using the newest Wine snapshot on OpenSUSE 10.3 x86_64. My two USB-joysticks (js0, js1) - which are pedals and joystick - work without problems with all native Linux simulations like FlightGear, Torcs, etc. It is a big pity that with Wine only the first joystick is activated, no matter which order I use, because with Wine all my old Windows simulations work without problems.

I don't see the issue here. It would be helpful if people would report their sessionInfo() when reporting whether or not they see this issue. Mine is > sessionInfo() R version 3.4.3 (2017-11-30) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Arch Linux Matrix products: default BLAS/LAPACK: /usr/lib/libopenblas_haswellp-r0.2.20.so locale: [1] LC_CTYPE=en_US.UTF-8

Samba has multiple areas of case mangling problems that cause incompatibilities when used with windows or linux clients. How viable is the idea of fixing the problems? Would the sky fall in if it preserved case, but either 'ignored it', or gave preference to matches that included the case as typed (vs. alternate case matches). The first would be fairly compatible with current Win

Dear List, I've around 1000 *.txt files, I've generate with other software. I've now done the following code (below). My question is how can I automate this (with do.call () ?), so it could be done for all the *.txt files. Thanks in advance, Rog??rio names<- list.files() file <- "BLU_Var_%04d.txt" for(i in 1:1000){

To my surprise, I can confirm on Windows 10 using R 3.4.3 . As tail is not recognized by Windows cmd, I replaced with: system('powershell -nologo "& "Get-Content -Path temp.csv -Tail 1') The last line shows only 7 digits after the decimal, whereas the first have 15 digits after the decimal. I agree with Dirk though, 1.6Gb csv files are not the best way to work with

Hi - a newbie question, if someone can please help.... I want to change X1, X2,,.....to X.1 X.2 etc in the names below. I am using the Principal Component Regression function (pcr) and it seems to want it this way > datap3.pcr <- pcr(water ~ X, 10, data = datap3, Validation ="cv") Error in model.frame.default(formula = water ~ X, data = datap3) : invalid type (list) for

Dear all, In the download section of the Speex web site, you can find the Windows DLLs until the 1.2beta2 version, but for the newest version 1.2rc1 there aren?t any available. Therefore, I?m trying to generate the Windows DLLs for the 1.2rc1 version using the MSVC 2005 project files available in the source code. After a lot of problems, finally I have generated the DLLs. However there is a

Hello, I have looked on https://www.r-project.org/bugs.html , but it seems that this is the only way to do it. The issue is that the precision used by write.csv is on consistant for big files. See the following code: First I create a large dataframe filled with random uniform values. Then I write it to .csv and print out the first and last lines. df = data.frame(replicate(100, runif(1000000,

Dear R-Users, Did anyone follow more closely the SARS Cov-2 lineages? I have done a quick check of Cov-2 mutations on the list downloaded from NCBI (see GitHub page below); but it seems that the list contains the cumulative mutations only for B.1 => B.1.1, but not after the B.1.1 branch: # B.1 => B.1.1 seems cumulative diff.lineage("B.1.1", "B.1", data=z) # but B.1.1

Hello everyone, I am trying to fit the following model All X. variables are continuous, while the conditions are categoricals. model <- lm(X2

My apologies for not including sessionInfo(), and I'm a bit angry at myself for that. Retrying in a fresh session of R, I get different results. More specifically, I get the expected result where accuracy is the same in the first and the last line. As I didn't include my sessionInfo() in my previous mail, I can't figure out why I now have a different result. So I'm positive

I have installed Simple Sudoku (http://www.angusj.com/sudoku/index.php) but I cannot minimise it, nor go to another screen to do something else. If I try, its window gets larger, vertically. I am using wine 20050725 (which is what is packaged for my system at present), on a Debian system running XFree86, with icewm-gnome. Can anyone advise why this program "hogs attention"? -- Phil