similar to: encoding question again

Hi, I'm running the actual R version in JGR (version 1.5-8 ). Sys.getlocale(category = "LC_ALL") yields [1] "LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MONETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252" I want to write some HTML-Code enhanced by statistical results and labels encoded in Latin-1, which I pass to a function. Some

I couldn't find out how the following to solve: There is a column in a data.frame: > d[, 'Y6'] [1] 6 3 8 11 8 9 6 8 3 5 10 15 NA 9 8 3 8 16 6 6 NA 10 5 2 7 7 6 16 7 15 7 10 12 8 7 12 12 16 7 6 8 8 15 6 [45] NA 8 99 7 12 8 9 16 7 16 8 7 7 1 15 12 8 7 10 7 8 7 8 9 8 6 6 8 6 16 11 5 11 11 1 11 3 7 7 10 10 10 6 11 [89] 16 NA

Hello, Peter, I tried it out: iconv(names(attributes(spss[,'Y6'])[[1]][14]), "UTF-8", "LATIN1", sub='byte') yielded [1] "<c4>rzte Chirurgie" and c4 corresponds in most encodings to ?. What can I do next? I wonder whether there is a more comfortable way then to change the occurences of <..> by the adequate character. Regards, Matthias

Hello R community, following is my code and it shows error, can some one fix this error and explain why this occurs? gibbs <-function(m,n, theta = 0, lambda = 1){ alpha <- 1.5 beta <- 1.5 gamma <- 1.5 x<- array(0,c(m+1, 3)) x[1,1] <- theta x[1,2] <- lambda x[1,3]<- n for(t in 2:m+1){ x[t,1] <- rbinom(x[t-1,3], 1, x[t-1,1])

Hi I've imported an spss-file using read.spss. One variable has value like '?rzte'. I thought this is UTF-8 encoded, but it is not (as the results of iconv and utf8ToInt suggest). Is there any way to find out how these spss-values are encoded? Regards, Matthias

I have a question on how to set up usernames under Linux/NT so that our new Samba setup works properly. This is how our new system is going to work: DOMAIN "OB-GYN" "Alfred" -- Windows NT PDC (NT Server 4.0) User Profiles stored on this machine Since it's a PDC, it processes login requests Also WINS server

Hi R-users, I am trying to divide a vector (say X) into equal frequency bins. If one uses the hist() function, then a histogram is plotted, but with bins of equal widths, and not with bins having the same number of data points. I have then tried the histogram() function as follows: histogram(X, nint=10, breaks=NULL, equal.widths=F) This works as I want. However, I can't extract which

Dear all For a model I need to combine several netCDF files into one (which works fine). For better overview I'd like to delete/remove some of the attributes. Is there a simple way doing this? I'm using the package netcdf4, which creates an object of class(nc) = "ncdf4". It seems that for earlier versions of netcdf objects, there was the function att.delete.nc{RNetCDF}. But

I have the following problem: I measured co2 on 6 paired sites (one grubbed and one non-grubbed fence per site -> grubbing = treatment). These measurements I repeated 15 times over 2 years. So, now my problem is how to analyze these data. I tried the following model: mod1_CO2<-lme(co2~treatment+time,random=~1|site,data=CO2_t1_t15) I think with the random effect I included the paired

Hello, I'd like to remove the individual pairs of square brackets along with their content - plus the space directly behind it - from address strings such as this: [Swidsinski, Alexander; Loening-Baucke, Vera; Lochs, Herbert] Charite Humboldt Univ, Innere Klin, D-10098 Berlin, Germany; [Hale, Laura P.] Duke Univ, Med Ctr, Dept Pathol, Durham, NC 27710 USA I'd like get the

Dear R-users with a bit of grief I had to repeat an extensive analysis because I did not suspect (and therefore did not read the documentation) that round was implemented as "for rounding off a 5, the IEC 60559 standard is expected to be used, 'go to the even digit'", resulting in round(1.5) = 2 round (2.5) = 2. As a non-mathematician I am both puzzled and intrigued by

Dear all I'm a newbie regarding netcdf data. Today I realized that I maybe do not understand some basics of the netcdf. I want to create a *.nc file containing three variables for Switzerland. All data outside of the country are NAs. The third variable is calculated from the first two variables. Basically there is no problem to do that. I copy the file with the data of the first variable,

Dear R-help list members I gathered longitudinal data on fish behaviour which I try to analyse using a multi level model for change. Mostly, I am following Singer & Willett (2003), who provide also the S/R code for their examples in the book (e.g. http://www.ats.ucla.edu/stat/Splus/examples/alda/ch4.htm). Of course I am interested in change over time, but I am also very much interested in

Dear fellow R-users, I have the problem of being unable to repeatedly use a C++-function within R unless by dyn.unloading/dyn.loading it after each .C call. The C++-code (too large to attach) compiles without problem using R CMD SHLIB. It loads (using dyn.load("myfun.so")) and executes (via .C(myfun, ...) ) properly. The function returns no object, only reads files from disk,

I want to thank whoever mentioned KerbNet by Cygnus Solutions! Wowza! I recommend that people check it out. It lets you implement Kerberos under UNIX and NT, and have them work together (so you have one *unified* security system that is used by both your NT and UNIX boxes). It's at http://www.cygnus.com/product/kerbnet-index.html It also does authentication *without* sending passwords over

Dear all, I would like to create a stacked area chart to show the development of species biomass over time. Since it is intended for publication I need to prepare in black and white. I have tried to modify the "stackedPlot" function submitted to this list by Christian Lasarczyk on Tue, 16 Aug 2005 using shading lines rather than colors to distinguish between the species.

On Mon, Aug 14, 2017 at 5:29 AM, <raphael.felber at agroscope.admin.ch> wrote: Dear all > > I'm a newbie regarding netcdf data. Today I realized that I maybe do not > understand some basics of the netcdf. I want to create a *.nc file > containing three variables for Switzerland. All data outside of the country > are NAs. The third variable is calculated from the first two

Dear R-Devel List, **TL;DR:** The function **parLapplyLB** of the parallel package has [reportedly][1] (see also attached RRD output) not been doing its job, i.e. not actually balancing the load. My colleague Dirk Sarpe and I found the cause of the problem and we also have a patch to fix it (attached). A similar fix has also been provided [here][2]. [1]:

Dear Christian and Henrik, thank you for spotting the problem and suggestions for a fix. We'll probably add a chunk.size argument to parLapplyLB and parLapply to follow OpenMP terminology, which has already been an inspiration for the present code (parLapply already implements static scheduling via internal function staticClusterApply, yet with a fixed chunk size; parLapplyLB already

Hi, I'm trying to understand the rationale for your proposed amount of splitting and more precisely why that one is THE one. If I put labels on your example numbers in one of your previous post: nbrOfElements <- 97 nbrOfWorkers <- 5 With these, there are two extremes in how you can split up the processing in chunks such that all workers are utilized: (A) Each worker, called