similar to: t test on data frame

On Saturday 15 September 2007, Tanya Lattner wrote: > 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source. > Compile everything. Run "make check" and the full llvm-test suite > (make TEST=nightly report). I tried to do this, but ran into trouble. LLVM itself compiled fine. GCC compilation is broken when Java support is enabled. I can file a detailed bug report

Summary ======= After an unclean shutdown the file /var/run/dovecot/master.pid remained behind. This prevented dovecot from starting, and gave a misleading error message. To be more resilient and fault-tolerant, I recommend that dovecot also check the validity of the PID in /var/run/dovecot/master.pid in order to determine whether or not another dovecot process is running. Detail ====== In

I have a large dataset organised in choice groups see below. Each choice represents a separate occasion with 1 product chosen out of the 6 offered.            +-------------------------------------------------------------------------------------------------+      | dn   obs   choice      acid   br                 date       cdate   situat~n   mth   year   set |     

Dear List members I have a large dataset organised in choice groups see sample below +-------------------------------------------------------------------------------------------------+ | dn obs choice acid br date cdate situat~n mth year set |

Hi there, I am trying to run simulations using R with linear mixed model (lme). There are two factors in my fixed effect model, educ (treatment and control) and mth (visit 1, 2, and 3). What I want to obtain is the estimated treatment difference (treatment - control) at visit 3, plus the standard error and p-value. This can be easily obtained in SAS using lsmeans or estimate statements, but I

Hi, I am traying to implement an STAR model, but I have some problems. I am following the instruction of the model, that they are in: http://bm2.genes.nig.ac.jp/RGM2/R_current/library/tsDyn/man/star.html that they are from: http://bm2.genes.nig.ac.jp/RGM2/pkg.php?p=tsDyn The model is: star(x, m=2, noRegimes, d = 1, steps = d, series, rob = FALSE, mTh, thDelay, thVar, sig=0.05, trace=TRUE,

Dear List I am having a bit of a problem getting a program to work. For each of i=1 to n persons I have a matrix (different for each person) with m rows. What I want to do, is create m new data sets such that the first is made up of the first row for each person from the original matrices, the second contains the second row for each person from the original matrices etc etc up to the mth

Dear list I have a response variable coded 0/1 i.e. a binary response. There are 20,000 individual responses that I would like to aggregate into numbers of each category (i.e. 0/1) by group called dn (350 different groups) and by month mth (there are several hundred responses per month. What is the simplest way to perform this operation in R?

Is length(unique()) what you are looking for? Andy > From: Christoph Lehmann > > Hi I have a question concerning aggregation > > (simple demo code S. below) > > I have the data.frame > > id meas date > 1 a 0.637513747 1 > 2 a 0.187710063 2 > 3 a 0.247098459 2 > 4 a 0.306447690 3 > 5 b 0.407573577 2 > 6 b

Hello all, I want box plots by group to display in order of increasing mean (or median) of each group but can't seem to figure it out and couldn't find anything on R-seek, either. My data looks like this: meas unit sid grade rsprti 1 2.24 1002 99999902 NA 0.8600000 2 3.04 1007 43589520 3 0.9400000 3 4.95 2002 39910470 5 1.5300000 4 2.24 2002 39986280 5

I have a combined date and time. I would like to separate them out into two columns so I can do things such as take the mean by time across all dates. meas<-runif(435) nTime<-seq(1303975800, 1304757000, 1800) nDateT<-as.POSIXct(nTime, origin="1970-01-01") mat1<-cbind(nDateT,meas) means1<- aggregate(mat1$meas, list(nDateT), mean) This doesn't do anything as each day

Greetings, fellow R'ers. How can I get this frame in R: ID meas ID.1 meas.1 1 1.1 3 1.2 2 2.1 4 2.2 to look like this (stacking): ID meas 1 1.1 2 2.1 3 1.2 4 2.2 It's not really the reshape function (or is it?) because we can consider the additional columns, viz., ID.1 and meas.1, as independent of ID and meas so it is basically a stacking

I am very confused about this. I want to convert a string to a name so I can use it to extract an element of a data frame using `$'. Here is my (non-working) code: do.graph <- function (meas) { fn <- paste("a", meas, ".dat", sep='') themeas <- read.table(fn, header=F) ameas <- as.name(paste("a", meas, sep=''))

Hello everybody. In my case, calculating multiple comparisons (Tukey) after lmer produced the following two errors: > sv.mc <- glht(model.sv,linfct=mcp(comp="Tukey")) Error in x$terms : $ operator not defined for this S4 class Error in factor_contrasts(model) : no 'model.matrix' method for 'model' found! What I have done before: > sv.growth <-

I have a dataset where I have missing times (11:00 and 16:00). I would like the outputs to include the missing time so that the final time vector looks like "realt" and has the previous time's value. Ex. If meas at time 15:30 is 0.45, then the meas for time 16:00 will also be 0.45. meas are the measurements and times are the times at which they were taken. meas<-runif(18)

Hello, I am trying to ask the user for which column their data is in, and then use this information in a function. So far I have: data <- read.csv(file.choose(), header=TRUE) col <- (winDialogString("Which column contains your data?","")) and I want to be able to reference such as: meas <- data$col and use this meas in the function. However, I can't seem to

Dear List I am trying to fit a multinomial model using the mlogit package. Attempting to load the data into mlogit presents the following error. MLOG<-mlogit.data(Mult3,shape="long",choice="CHOICE",alt.var="mode.ids",indivs = "set3",chid.var = "obs") Error in `row.names<-.data.frame`(`*tmp*`, value = c("1.1", "1.2",

Warnings about /metno/internweb/fouweb/htdocs/teknisk/verktoy/R/faq.html BAD LINK: http://stat.ethz.ch/R/manual/ BAD LINK: http://nlme.stat.wisc.edu/MEMSS/ BAD LINK: http://stats.mth.uea.ac.uk/Rcgi/ BAD LINK: http://software.biostat.washington.edu/statsoft/ess/ ------------------------------------------------------------ Warnings about

I have used Sweave a lot the latest year, but never really used any long function calls. If I have code which look like this ------------------------------------------------------------- gof <- benthic.flux(ID="Gulf of Finland", meas.conc=conc, bw.conc=bw.conc, time=times,

Sensei H. Peter Anvin, I have successfully modified/enhanced memdisk so that one can chainload a local operating system after running diskless FreeDOS. I would like your advice regarding the appropriate interface for invoking this functionality. In addition, I would like to know what steps to take so that you feel comfortable considering including this in the standard syslinux distribution.