similar to: loop

Hi everyone, I read the following data > setwd("d:/") > mydata <- read.table("mydata.txt", header=T) > attach(mydata) > mydata name X20_1_TT_Z_e4 X20_2_TT_Z_e4 1 A1 102 22 2 A2 103 21 3 A3 107 20 > name [1] A1 A2 A3 Levels: A1 A2 A3 > mode(name) [1] "numeric" Why name is

Dear R users, I would like to sample from a mixture distribution p1*f(x1)+p2*f(x2). I usually sample variates from both distributions and weight them with their respective probabilities, but someone told me that was wrong. What is the correct way? Vumani

Berend, I do not think this works with gfortran 7+. I am calling the BLAS subroutine dgemv from Fortran code in my package eha, and the check (with R-devel) gives: gmlfun.f:223:1: warning: type of ?dgemv? does not match original declaration [-Wlto-type-mismatch] & score, ione) ^ /home/gobr0002/R/src/R-devel/include/R_ext/BLAS.h:107:1: note: type mismatch in parameter 12

Sorry for cross-posting, but I realized my question might be more appropriate for r-devel... Thank you, Giovanni ________________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Giovanni Petris <gpetris at uark.edu> Sent: Tuesday, September 10, 2019 16:44 To: r-help at r-project.org Subject: [R] Calling a LAPACK subroutine from R Hello R-helpers!

On 2019-09-11 22:16, Avraham Adler wrote: > Can you write a small C function that calls LAPACK call that fro your > Fortran code? Yes, an extra step but maybe less traumatic than rewriting > parts of LAPACK directly. Yes, I know how to do that, but I find it somewhat bizarre that it is impossible to call a Fortran subroutine from Fortran. And rewriting 'dgemv' was simple:

I am using tapply to compute means by group, as in > tapply(y, z, mean) 1 2 3 21.00757 20.50031 NA where y is a vector and z a factor with levels 1:3. I would like to get a zero instead of the NA I get when a subset is empty. The problem is that FUN is not applied to empty cells of the ragged array. (Of course I am willing to define a function my.mean that returns

Hello, Recently updated Ubuntu to 10.04, I have installed the r-base and r-base-dev packages from CRAN with sudo apt-get install r-base But now when I want to start R I get the following error: gpetris at definetti:~$ R /usr/lib/R/bin/exec/R: symbol lookup error: /usr/local/lib/libreadline.so.6: undefined symbol: PC Any clue??? Has anybody seen that before? I have tried to reinstall the

Is there a way of `restarting' split.screen? This is what I am getting: > close.screen() [1] 10 11 12 13 > close.screen(all=TRUE) Error in par(args) : parameter "i" in "mfg" is out of range > graphics.off() > x11() > close.screen() [1] 10 11 12 13 > close.screen(all=TRUE) Error in par(args) : parameter "i" in "mfg" is out of range As

I am trying to read an ftable using read.ftable, but I get the following error message: > jobSatTable <- read.ftable("http://definetti.uark.edu/~gpetris/stat5333/jobSatisfaction.dat",skip=2) Error in seek(file, where = 0) : no applicable method for "seek" In addition: Warning messages: 1: no non-missing arguments to max; returning -Inf 2: no non-missing arguments to

Is there a way I can have R automatically execute the commands in a source file without ever having to use R interactively? If so, what arguments should I pass to the UNIX call to R? I need to do this to run several R jobs in parallel. An alternative may be to have R and an R package behave as a stand-alone application that can be called from the UNIX command line. Is there any documentation on

> -----Original Message----- > From: Federico Calboli > Sent: Tuesday, January 20, 2004 5:40 PM > To: r-help > Subject: [R] matrix exponential: M^0 > > I would like to ask why the zeroeth power of a matrix gives me a matrix > of ones rather than the identity matrix: > > > D<-rbind(c(0,0,0),c(0,0,0),c(0,0,0)) > > D<-as.matrix(D) > > D >

Hello! I am trying to put two math expressions in the title of a plot. As you can see below, I can place correctly one expression at a time, but not both. Ideally I would like to have them separated by a comma. Any suggestions? > k <- 1 > n.eff <- c(20, 30) > ### this works > plot(0,0, main = substitute(n == k, list(k = k))) > ### this works > plot(0,0, main =

I am trying to transition from Sweave to knitr, but there are a few things about customization of the appearence of R input and output that I did not get yet. Maybe somebody on the list can help me. In my Sweave presentations I used a slanted font for the R input and a normal font for the output, both in a small font. I also indented everything by an extra 2em. All this was achieved by the

Followup: I have checked my package nleqslv which uses dgemv only from Fortran, on Kubuntu 18.04 with the development version of R. No errors or problems. Berend > On 12 Sep 2019, at 08:57, Berend Hasselman <bhh at xs4all.nl> wrote: > > > I have tried what I proposed in a virtual Kubuntu 18.04 which uses gfortran 7.4. > I used the latest development version of R. >

Hello, I have a file that looks like this: Date,Hour,DA_DMD,DMD,DA_RTP,RTP,, 1/1/2006,1,3393.9,3412,76.65,105.04,, 1/1/2006,2,3173.3,3202,69.20,67.67,, 1/1/2006,3,3040.0,3051,69.20,77.67,, 1/1/2006,4,2998.2,2979,67.32,69.10,, 1/1/2006,5,3005.8,2958,65.20,68.34,, where the ',' is the separator and I tried to read it into R, but... > y <- read.csv("Data/Data_tmp.csv",

I am trying to `cut' a continuous variable into contiguous classes containing approximately an equal number of observations. I thought quantile() was the appropriate function to use in order to find the breakpoints, but I end up with classes of different sizes - see example below. Does anybody have an explanation for that? And what is the `recommended' way of computing what I am looking

How can I remove columns with NaN entries ? Here is my simple example: > data <- read.csv("test.csv") > xdata <- data[3:length(data)] > xs <- lapply(xdata, function(x){(x - mean(x))/sqrt(var(x))}) > x <- data.frame(xs) > x C D E F 1 -0.7071068 NaN -0.7071068 -0.7071068 2 0.7071068 NaN 0.7071068 0.7071068

Hi all, Using Beamer, in order to highlight a piece of R code I do something like this - note the "\structure" and "\alert" commands: \begin{semiverbatim} > mleOut <- \structure{dlmMLE}(Nile, + parm = c(0.2, 120), # initial values for optimizer + lower = c(1e-7, 0)) \alert<2>{# V must be positive} > mleOut$convergence

Hello, I am writing a package called 'DLM' containing a vignette. The vignette contains a chunck with the function call 'library(DLM)'. This worked fine with 'R CMD check DLM', but when it comes to building the package with 'R CMD build DLM' I get the following error message: * creating vignettes ... ERROR Error: chunk 1 Error in library(DLM) : There is no

On Thu, Jan 21, 2010 at 9:07 AM, Giovanni Petris <GPetris at uark.edu> wrote: > > I have found a good refernce to be "S Programming" by Venables and > Ripley. I'll take a look at this book. Since S and R are not completely the same, there are delicate differences between S and R, which an S book may be confusing if I want to learn R. One example is Statistical Models