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Hi, I ran into this issue previously and managed to solve it, but I've forgotten how and am getting frustrated... I have a data frame (see below) with scandinavian characters in R (2.7.1) running on a Win Xp-computer. I save the data frame in an RData-file on a usb stick, and load() it in R (2.8.0) running on OS X 10.5. Now the name of the data frame and all factor labels with scandinavian

I have assayed the concentrations of various metal elements in different anatomic regions of two strains of mice. Now, for each element, in each region, I want to do a t test to find whether there is any difference between the two strains. Here is what I did (using simulated data as an example): # create the data frame > elemconc = data.frame(expand.grid(id=1:3, geno=c('exp',

Hello, I'm having problems working with date values in POSIXct format. Here is what I got (eg.lig attached): x <- read.table("eg.txt", sep = ',', col.names=c("ok","time","secs","lig")) # it gives time as factor z <- cbind(x,colsplit(x$time, split="\\s", names=c("date", "clock")))

I have a strange problem, apparently contradicting man pages and recent postings on --include / --exclude options. On the server host I have directories to replicate only if they match a specific pattern ( date in different formats), they might be located 1 or 2 levels down from root directory and these parent directories (but not files) have to be replicated too. I understand, that given :

Hi Maria Rule 1 make sure your data is in the right format dat <- source("G:/1/savedat.txt") > dat $value Location Date Zn2 upper.zn lower.zn 1 upstream 2016-04-27 29.92477 55.59800 13.912207 2 spill 2016-04-27 12.84040 22.07006 6.964934 3 downstream 2016-04-27 22.49673 41.60901 11.739109 4 upstream 2016-06-28 23.98425 45.60219 10.690640 5

Dear Maria The file you attached to your first e-mail did come through but I think some people on the list must have missed it. Michael On 12/09/2017 12:54, Maria Lathouri via R-help wrote: > Dear all, > Thank you very much for the help. ylim=c(-5, 80) worked. > Regarding the reproducible example, I used dput () and saved the file as txt. It is not the first time that I used this way

On 8/24/06, Gabor Grothendieck <ggrothendieck at gmail.com> wrote: > Here is one more solution . It uses the reshape package. > Its faster than using reshape but not as fast as xtabs; > however, it is quite simple -- just one line and if that > matters it might be useful: > > library(reshape) > system.time(w4 <- cast(melt(DF, id = 1:2), Y ~ X, head, n = 1)) > >

> regions = c('cortex', 'hippocampus', 'brain_stem', 'mid_brain', 'cerebellum') > mice = paste('mouse', 1:5, sep='') > for (n in c('Cu', 'Fe', 'Zn', 'Ca', 'Enzyme')) { + assign(n, as.data.frame(replicate(5, rnorm(5)))) + } > names(Cu) = names(Zn) = names(Fe) = names(Ca) = names(Enzyme) =

Dear all, Thank you very much for the help. ylim=c(-5, 80) worked.? Regarding the reproducible example, I used dput () and saved the file as txt. It is not the first time that I used this way and normally it works. Because when I try to attach a .csv file with the data, most of the time it doesn't go through.? I will know for the next time.? Many thanks. Regards,Maria ???? 2:11 ?.?.

Not reproducible, as we have neither "example.csv" nor "Date" . Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Sep 11, 2017 at 2:38 PM, Maria Lathouri <mlathouri at yahoo.gr> wrote: > Dear

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;

Hello All, Please consider the following: TotEmp<-c(19,6,1,1,8,44,2,33,48,1) ClusterType<-c("AGF","CNS","OSV","RTL","RTL","TRN","REL","ACC_CLUST","RTL","WHL") Taz<-c(0,0,0,100,100,100,101,101,102,103)

Dear Bert and all, I am really sorry. This is the full code: dat<-read.csv("example.csv")attach(dat) sdate<-as.Date(Date, format="%Y-%m-%d") #change the colour of the strip background my.settings <- canonical.theme(color=FALSE) my.settings[['strip.background']]$col <- "blue" dat_key <- list(space="right", ??????????????? lines =

1. My name is Bert, not Brent; 2. I am not your private consultant -- always cc the list unless you have good reason not to. I have done that here. It looks like this is what you want; if so, you really need to go through an R tutorial or two to learn the basics: d <- structure(list(region = structure(c(1L, 1L, 1L, 1L), .Label = "zilan", class = "factor"), Fe_ppmtp =

Dear all, I'm having some problems with using the step() function inside another function. I think it is an environment problem but I do not know how to overcome it. Any suggestions are appreciated. I've prepared a simple example to illustrate my problem: > library(MASS) > data(Boston) > my.fun <- function(dataset) { + l <- lm(medv ~ .,data=dataset) + final.l <-

1. Not reproducible since my.settings, dat_key, sdate not provided. 2. Why did you not try something like ylim = c(-5,80) ? Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Sep 11, 2017 at 12:33 PM, Maria Lathouri via

Hi everybody, Suppose I have continuous measurements of an energy waveform that is sampled discretely for different heights every 0.5m. Let's say I want to find out the height for which I have equal amount of energy above and below. My colleague did the following: a. calculate the cumulative sum of the energy b. calculate the median of the cumulative energy c. find out what is the height

Hi, I would like to restart the conversation regarding adding SVE support to LLVM. This time I am framing things from the code generation point of view because our immediate priority is llvm-mc support rather than auto-vectorisation. Can you please review the following text outlining MVT changes we would like to make so SVE instructions can be added to the AArch64 Target. My overriding