similar to: Two math expressions in plot

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

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

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

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

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

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

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

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

Hello, I am doing simulations, and I generate a list at each iteration (with three component matrices in the example below), saving the results in a list. For example, after two iterations, I have something like > str(sim.theta) List of 2 $ :List of 3 ..$ : num [1:6, 1:4] -3.67 -1.07 -2.99 -18.38 -3.26 ... ..$ : num [1:6, 1:6] -7.56 -3.14 -4.99 1.03 2.79 ... ..$ : num [1:6, 1:4]

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'm pretty sure I've seen some examples of a function printing zero entries in a matrix as dots, but I'm not able to find it now... Any suggestions...? Thanks in advance. (Of course, I might have dreamt of such a function...) Best, Giovanni -- __________________________________________________ [ ] [ Giovanni Petris

Hello, I am doing mcmc=10000 simulations from a posterior distribution of the parameters of a mixture of K=6 normal densities. I have mcmc by K matrices simMeans, simVars and simWeights containing the simulation output: one row for each simulation, one column for each normal component of the mixture. One thing I would like to do is a plot of the posterior predictive density. In order to do that

Hello! I suppose this is more a matrix theory question than a question on R, but I will give it a try... I am using La.svd to compute the singular value decomposition (SVD) of a variance matrix, i.e., a symmetric nonnegative definite square matrix. Let S be my variance matrix, and S = U D V' be its SVD. In my numerical experiments I always got U = V. Is this necessarily the case? Or I might

Hello! I am using R on two different machines (under Ubuntu and OS X, but this is probably irrelevant) and I would like to keep the two installations 'synchronized', in particular in terms of installed packages. For example, if I install package xxx on my Linux machine, I would like to find it installed also on my Mac, and vice versa. I imagine this to be a fairly common problem, so I

Hello, I posted a question yesterday but I got no replies, so I'll try to reformulate it in a more concise way. I have the following data, summarizing approval ratings on two different surveys for a random sample of 1600 individuals: > ## Example: Ratings of prime minister (Agresti, Table 12.1, p.494) > rating <- matrix(c(794, 86, 150, 570), 2, 2) > dimnames(rating) <-

Hello everybody, I am writing a review paper about State Space models in R, and I would like to cover as many packages as I reasonably can. So far I am familiar with the following tools to deal with SS models: * StructTS, Kalman* (in stats) * packages dse[1-2] * package sspir * package dlm I would like to have some input from users who work with SS models: are there any other packages for SS

I am moving my first steps in writing and compiling C code and calling it from R. (I am also new to shared libraries...) My problem is that my C code uses a C function contained in another library (".a", not ".so" - is that the problem?). This is how I compile the file with the functions I want to call from R: cd /export/home/gpetris/ R SHLIB tryit.c cc

Dear All, I am building R-1.3.1 on Solaris 2.7 and I am trying to use the native SUNperf BLAS/LAPACK. I have added the flags ("-dalign -xlic_lib=sunperf") for the compilers in the config.site file. What is not clear to me is what I have to do with the "--with-blas" flag for ./configure. It seems to me that omitting it is not enough. Any suggestions? Another question, I

Hello, I wanted to share with a colleague a few R functions that I wrote. To this purpose, I created a small package on my machine (Unix) and emailed it to her. Now she is having troubles installing the package on her Windows machine. It seems that on her side, install.packages looks for a "zip" file - while I have created a "tar.gz" file. I tried to build the package with the

I find Sweave very useful and I was trying to combine it with the latex package fancyvrb. I was trying to get line numbering and labels in order to reference the lines where particular commands occur. Unfortunately, I haven't been able to figure out how to do it. Maybe somebody can help me. The following is a sample Rnw file: the first part shows what I would like to get, the second what I