similar to: sum a list of vectors

Hi all, It seems that getAttr doesn't return "names" attribute properly as in getAttrib(x, R_NamesSymbol)); If you look at section 4.7.4 in "Writing R Extensions", the second example of SEXP out(SEXP, SEXP) returns NULL for the names attribute of the outer product. This is true for R 1.7.0 on both Win2000 with mingw and Redhat 9.0 with gcc. Is there something I am

Hi, I am trying to figure how to use dlm with constant terms (possibly time-dependent) added to both equations y_t = c_t + F_t\theta_t + v_t \theta_t = d_t + G_t\theta_{t-1} + w_t, in the way that S-PLUS Finmetrics does? Is there any straightforward way to transform the above to the default setup? Thanks, Tsvetan -------------------------------------------------------- NOTICE: If received in

R: Is there a reason why there isn't a Windows Binary version of RQuantlib on CRAN? Usually when there is no binary, I just source the source code, but this one appears to have various calls and methods and things like that so I'm hesitant to do so. I know there has been a big discussion on why Rmetrics doesn't have source for unix/linux, but that isn't on CRAN. Through

Hi, Please consider the following : x = c(1,3,NA,5) y = c(2,NA,4,1) min(x,y,na.rm=TRUE) # ok [1] 1 max(x,y,na.rm=TRUE) # ok [1] 5 sum(x,y,na.rm=TRUE) # ok [1] 16 pmin(x,y,na.rm=TRUE) # ok [1] 1 3 4 1 pmax(x,y,na.rm=TRUE) # ok [1] 2 3 4 5 psum(x,y,na.rm=TRUE) [1] 3 3 4 6 # expected result Error: could not find function "psum" # actual result

Hello, I am trying to get the output from the numerical simulation of a system of ordinary differential equations for a range of values for three parameters. I am using the ode() function (deSolve package) to run the numerical simulation and apply() to run the simulation function for each set of parameter values. I am having trouble getting the apply() function to work. Here is an

dear helplist, my student has fifty trees, numbered one to fifty, and a vector recording which tree a certain possum slept in on 12 nights. R> c [1] 3 14 17 22 26 26 17 40 43 25 46 46 R> Thus it slept in tree #3 on Monday, then tree #14 on Tues, and so on. I wish to test the null hypothesis that the animal chooses trees randomly; try R> table(c) c 3 14 17 22 25 26 40 43 46 1 1

Can any one help me to solve problem in my code? I am actually trying to find the stopping index N. So first I generate random numbers from normals. There is no problem in finding the first stopping index. Now I want to find the second stopping index using obeservation starting from the one after the first stopping index. E.g. If my first stopping index was 5. I want to set 6th observation from

Hi, Given that R reports Type I sums of squares, isn't it a bit anachronistic that it re-orders terms in formulae? > d <- expand.grid(y=rnorm(8), + A=factor(c(1,2)), + B=factor(c(1,2)), + C=factor(c(1,2))) > summary(aov(y ~ A+B+A:B+C,data=d)) Df Sum Sq Mean Sq F value Pr(>F) A 1 8.294e-34 8.294e-34 1.027e-33 1

I have a statistical problem which has given me no end of grief recently, and am posting here in the hope that somebody can give me a straight answer. I'm a IT postgrad, not a statistician, so people may have to speak really slowly and clearly for me to get it :) I am collecting simulation data, and the results are geometrically distributed (or approximately so). From what I can gather

So i downloaded Monkey Island 2 - iso file. I mounted it using terminal with the command: mount -o loop file/directory/filename.iso /mnt/disk then i used the command: wine setup.exe Wine showed up, I browse a directory and the game was installed. However when i try to find where the game is the directory just doesn't exist. I try in .wine/drive_c/Program Files where it should be , but

I have 20 variables: 5,9,6,1,5,9,7,4,5,6,3,2,4,8,9,6,1,8,4,8 How do I calculate the corresponding quantiles from a normal distribution with the same mean and variance as the sample? Also, how do I draw a QQ plot of the data? Thanks for any help! -- View this message in context: http://www.nabble.com/Quantiles-and-QQ-plots-tf4925742.html#a14097909 Sent from the R help mailing list archive at

I have some programs which were writen in mathematica or c language, but I donot know how to use these software. So I want to run them in R. Can I do it ? How to run "mathematica" or "c" programs in R? Jian Zhang [[alternative HTML version deleted]]

What are some effective ways to leverage the strengths of R and Mathematica for the analysis of a single data set? More specifically, are there any functions that can assist with any of the following? 1. Calling an R function from Mathematica. 2. Calling a Mathematica function from R. 3. Using XML or another reliable data format to pass vectors, matrices, and/or lists from one environment to

Hi, this is not an R-help post, but I found this extract below that was written by a leading mathematician back in 1999 when he was talking about statistics and computing. I found it interesting to share and I ask your opinion do you think this still holds today or things have changed? Thanks. ?...we would also like to mention that in our opinion Mathematica provides an excellent and indeed

I have just installed R on a Windows NT system. Unfortunately I am unable to open any of the data files I wish to work with. I have tried using read.table and scan and to the best of my knowledge am using the correct syntax. The error message I receive is Error in file(file, "r") : cannot open file [file name] I have the data in text files in white-space delimited form. I put them

Hello, after searching through the archives and not finding a thread that answers this question, I thought I'd pass it on to the list. Given a data frame and given a factor variable that assigns a class to each case in the data frame, what is the most efficient way to sample a given number of cases from each class? I've found a roundabout solution that works as follows: for each class:

Hi People, I have just started building my own RPMS on both Fedora and CentOS and generally things have gone well. Currently I am trying to create RPMS for some commercial software that we have purchased. Step 1 was install the software using its JAVA Based installer ensuring that all files were installed into a particular directory in /usr/local. Step 2 was create a tar file of the

David - information on calling R from within Mathematica can be found at the following link: http://www.mofeel.net/1164-comp-soft-sys-math-mathematica/13022.aspx HTH, Alan Kelly

Full_Name: Skylab Gupta Version: R version 2.5.1 (2007-06-27) OS: Windows XP Submission from: (NULL) (216.82.144.137) Hello, I have been playing around with the statistical distributions in R. I think the computations for the cumulative distribution function of the students t distribution in R are not very accurate. For instance, the cdf of a students t distribution with 13 degrees of freedom

I just tried rendering a plot of 166 data point (time series) on my PPC mac, and compared it with the same data rendered by Mathematica. The R plotting is very slow to paint and repaint, compared to Mathematica. This also makes it extremely awkward to use in other documentation such as pdfLatex. On closer inspection, it looks like the Mathematica plot is just a polyline, while in R it is a