similar to: levels of an array (strings and numbers)

I'm trying to make more compact the definition of a function as for example: f <- function(x) 2/x+3/x by simply defining the array of coefficients arr = c(2,3) and setting: g <- function(x) sum((arr/x)) Everything seems to work fine because the values returned by f and g result coincident for different values of their argument, but when I try to plot the function g using: x =

In order to define a function f as: > f <- function(x) (x+1)*(x+2) I want to use the notation: > v = c(1,2) > g <- function(x) prod((v+x)) That apparently works and, for instance, the loop: >for (i in 1:100) { print(f(i)-g(i)) } Produces a sequence of zeros. Nevertheless, if I try to plot the function g by: >t = seq(0,100,1) >plot(t,g(t),type="l") I

Dear R-list, I have two variables (numerical and categorical) and would like to have the sum (and maybe some other statistics) of the numerical variable by the categorical one. Can you help me, Thank you, Fabrizio --------------------------------------------------------------- Fabrizio De Amicis IT Department Generali Information Technologies - (GIT) Centro Galleria 2, Via Cantonale CH -

On Linux 2.13 by default links cairo, so png() uses it for rendering. One of my users has performance problem, so ask if it possible to temporary disable cairo during png() rendering so it reverts to grGraphics. My workaround for now is to configure R without cairo, but this affects all users that are forced to load and use CairoDevice if they wants better quality. I want to avoid this, is it

Any advice when to use denstity() and when the KernSmooth package bkde() to smooth a histogram? No specific problem to use either one, but I'm curious why there are two so similar implementations. Thanks! mario -- Ing. Mario Valle Data Analysis and Visualization Group | http://www.cscs.ch/~mvalle Swiss National Supercomputing Centre (CSCS) | Tel: +41 (91) 610.82.60 v.

Hi all! I have an ordered vector of values. The distribution of these values can be modeled by a sum of Gaussians. So I'm using the package 'mclust' to get the Gaussians's parameters for this 1D distribution. It works very well, but, for input sizes above 100.000 values it starts taking really forever. Unfortunately my dataset has around 4.6M values... My question: is it

I'm preparing to install 2.13, so I need a clarification about package location on disk. On window the packages I have installed are under C:\Users\mvalle\R\win-library\2.12 and the ones that come with R are under "C:\Program Files\R\library" If I execute update.packages() from the R gui, it fails because it finds e.g. Matrix as a package that should be updated but the process

Another easy(/stupid) question: with the following command j2<-xf1[1:10,"V4"] I have > j2 [1] CHROMOLI LINEAGERMAI RINALDI GIUNTIMA AUTOSTELLA [6] CAIZZONE CENTRO B PEL E C SNC CONSORZI MAN NORD PDM 1304 Levels: MACHIAVELLI Snc MENARINI MANUFACTURERS LOGISTICS SERVICES ... ZUCCHERIFICIO

[sorry, forgot some details...] I'm using optim(param, fun, method='L-BFGS-B', lower=lo, upper=up) to minimize a certain function. Often the minimization ends with the message: ERROR: ABNORMAL_TERMINATION_IN_LNSRCH What is optim() trying to say? What have I to change in my function to make the minimization succeed? Do you think using BBoptim() instead of optim() changes anything?

Some time ago someone asked for things that make R difficult to master. Here I want to record one R behavior that took me off-guard yesterday. Moral of the story: vectorialize, but don't exaggerate. Hope it helps mario ### A very simple data frame tc <- textConnection( "prefix idx val A 1 11 A 2 22 B 1 33 B 2 44") s <- read.table(tc,

I just upgraded my Win7 32bits installation to 2.14.0 after deinstalling 2.12.x First thing I moved the win-library from 2.12 to 2.14 and executed a update.packages(ask='graphics',checkBuilt=TRUE) (Swiss mirror). This aborts with the console message: Error in if (any(diff)) { : missing value where TRUE/FALSE needed And the antivirus (AVG) pops up complaining that colorspace.dll

Dear all, I'm using R 2.12.0 on Windows 7 (32bits) I created a filled contour from the attached data using the following code: load('bug.RData') pdf('bug.pdf', width=14, height=7) filled.contour(o4$x, o4$y, o4$z, color=rainbow, xlim=c(4,18), ylim=c(0,35), zlim=c(14,36)) dev.off() If you look (I used acrobat reader 9.4) at the attached bug.pdf, you see an incomplete grid of

Dear all, I have a multiline plot with each line labeled with a different letter. But I'm not able to make the legend display the same kind of pattern '-a-', instead the letter is overwritten by the line. A simpler legend with only the letter is not very visible and the pt.bg does nothing with letters. Any idea? plot(1:10,10:1,lty=1,type='b', lwd=2,pch='a')

Good morning! Which is the preferred method to leave a sourced script and returning back to the '>' prompt? For example I search for certain files to be processed, but nothing should be done if they are not present. Normally I do in my script: f<-dir(pattern="qq") if(length(f) > 0) { ...process file list... } # script end But I don't like those {} encompassing

Whas missing the R in the command line: "mpirun -n --hostfile /home/hostfile R --no-save -f rtest.R" Hope this helps mario On 13-Jan-11 22:08, Justin Moriarty wrote: > Hi, > Just wanted to share a working example of doSNOW and foreach for an openMPI cluster. The function eddcmp() is just an example and returns some inocuous warnings. The

Hello, Thanks to all for the previus answer. I want to be more detailed: I have a dataset called gm20011231 with 1304 observations (or records). I want to create a subset with the followin command j2<-gm20011231[1:10,"V4"] the levels of "V4" is 1304 and the and the length(j2) is 10. Do you know how to obtain a j2 with level 10? Thank you Fabrizio

Dear all, do you know if it's available and where the "FBI Homicide" dataset? It has at least the following columns: "victim age", "homicide age". A scatterplot of this data is visible here: http://www.uml.edu/gallery/main.php?g2_itemId=6016 Thanks for your help! mario -- Ing. Mario Valle Data Analysis and Visualization Group |

Hello, I don't know if the question pertains to Rmpi, snow or snowfall. I run my job by: mpirun -np N -hostfile $PBS_NODEFILE RMPISNOW -f my-script.r --slave In the snowfall sfInit call I have to specify one less CPU respect to the mpirun call sfInit(parallel=TRUE, cpus=N-1, type="MPI") otherwise I receive an error similar to: "cluster size N-1 already

I'm running my script using mpirun -mp 4 and using snowfall+Rmpi on Linux 64bits. I receive the following error, but apparently without consequences on the results. Any idea? I'm able to reproduce it with a minimal script (below). Seems the critical issue is the for loop. Without it no error. Thanks for your help! TERM: Undefined variable. TERM: Undefined variable. TERM: Undefined

Sorry for wasting your time with an incorrect diagnosis in my previous mail! I'm running my script using mpirun -mp 4 and using snowfall+Rmpi on Linux 64bits. I receive the following error, that terminates the run. Any idea? I'm able to reproduce the problem with a minimal script (below). If n < 16371 it completes 9 iterations without problems. Already at 16371 it dies at iteration 7