similar to: Download and Import xls files in R

On Mon, Feb 05, 2018 at 10:57:58PM +0100, Luca 'remix_tj' Lorenzetto wrote: > On Fri, Feb 2, 2018 at 12:52 PM, Richard W.M. Jones <rjones@redhat.com> wrote: > > There is a section about this in the virt-v2v man page. I'm on > > a train at the moment but you should be able to find it. Try to > > run many conversions, at least 4 or 8 would be good places to

Dear all, I would like to write a function like: myfun<-function(x,fn) {xx<-exp(x); x*fn(xx)} where fn is a symbolic description of any function with its argument to be specified. Therefore myfun(5,"2+0.3*y^2") should return 5*(2+0.3*exp(5)^2), myfun(5,"log(y)") should return 5*log(exp(5)) and so on. I tried with "expression" and others, but without success.

Dear all, following the thread http://tolstoy.newcastle.edu.au/R/e2/devel/07/09/4338.html regarding the bug in the partial autocorrelation function for multivariate time series. I have prepared a web page with patches and relevant information. http://www2.stat.unibo.it/giannerini/R/pacf.htm Please do not hesitate to contact me for further clarifications regards Simone --

Dear All, I'm trying to maximize a likelihood with respect one parameter using "optimize" on simulated data (without error component). I've iterated the maximization procedure 1000 times and I should always obtain the same estimate of the parameter (equal to the simulated one) but, instead, i obtain different results (the likelihood function shouldn't be flat). Does

i need to compute several (hundreds) of regression AR and PP.test for untary roots. is there an easy way to pick the values of interest from the output of these operations? i would like to fill a matrix (in a for cycle) with all the values of coefficients, standard deviations, PP statistics and the relevant critical value for the series i have. thanks in advance L --

According to ?parCapply: parRapply and parCapply always return a vector. This appears not to be the case in the following minimal reproducible example: > library(parallel) > nslaves <- 2 > cl <- makeCluster(nslaves) > X <- matrix(2,nrow=3,ncol=4) > X <- rbind(c(1,1,0,1),X) > tv <- parCapply(cl,X,FUN=function(x){ +

Dear list, I do not know what would be the 'correct' answer to the following but I think that they should return the same value to avoid potential problems and hard to debug errors. Regards, Simone --------------------------------------- > NCOL(NULL) [1] 1 > NROW(NULL) [1] 0 > sessionInfo() R version 4.3.1 RC (2023-06-08 r84523 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit)

Hi, I've estimated a simple kernel density of a univariate variable with density(), but after I would like to find out the CDF at specific values. How can I do it? thanks for your help, with it I am very close to finish my first little bit more serious work in R, Viktor

Dear all, I found the following behaviour > rf(5,Inf,Inf) [1] 1 1 1 1 1 but > qf(0.1,Inf,Inf) [1] NaN Warning messages: 1: In qf(0.1, Inf, Inf) : value out of range in 'lgamma' 2: In qf(p, df1, df2, lower.tail, log.p) : NaNs produced incidentally, > pf(1.00000000000001,Inf,Inf) [1] 1 > pf(1.0000000000000001,Inf,Inf) [1] 0.5 Is this the expected behaviour? Thanks

minimal reproducible example plot(1,1) identify(1,1) # or locator() now, trying to close the window by clicking on the cross of the upper right corner causes Rgui (and Rterm) to crash. I see the same behaviour on 2 different Windows PC (one with Win 8.1 and one with Win 10). I did not see the problem in linux (see below) WINDOWS ************** > sessionInfo() R version 3.3.0 beta

Full_Name: Bert De Boeck Version: R 2.2.0 OS: Windows Submission from: (NULL) (157.193.193.152) I think there is a bug when using integrate for integrating a function which is 0 in a whole sub-interval. For example: #define uniform function f<-function(x){ifelse(x<1,0,ifelse(x<3,1,0))} #this is the correct integral integrate(f,-10,10) #here there is a problem integrate(f,-50,50)

On Tue, Feb 06, 2018 at 11:11:37AM +0100, Luca 'remix_tj' Lorenzetto wrote: > Il 6 feb 2018 10:52 AM, "Yaniv Kaul" <ykaul@redhat.com> ha scritto: > > > I assume its network interfaces are also a bottleneck as well. Certainly if > they are 1g. > Y. > > > That's not the case, vcenter uses 10g and also all the involved hosts. > > We

On Fri, Feb 02, 2018 at 12:20:14PM +0100, Luca 'remix_tj' Lorenzetto wrote: > Hello Richard, > > unfortunately upgrading virt-v2v is not an option. Would be nice, but > integration with vdsm is not yet ready for that options. > > On Thu, Jan 25, 2018 at 11:06 AM, Richard W.M. Jones <rjones@redhat.com> wrote: > [cut] > > I don't know why it slowed

I have written the following function to calculate the weighted mean difference for univariate data (see http://www.xycoon.com/gini_mean_difference.htm for a related formula). Unsurprisingly, the function is slow (compared to sd or mad) for long vectors. I wonder if there's a way to make the function faster, short of creating an external C function. Thanks very much for your advice. gmd

Hello all, Let's say I have a character string "Race-ethnicity-----coding information" I want to extract all text before the multiple dashes, including the word "ethnicity." I wrote a handy function to extract the first matched text: grepcut <- function(pattern,x){ start.and.length <- regexpr(pattern,x) substring(x,start.and.length,start.and.length

Dear all, I found the following on R 2.3.1. for Windows XPpro SP2, tested on 2 PCs AMD 64 3700+, Ati 9700 AMD Athlon 2400+, Matrox G550 Do the following: x <- as.matrix(0); fix(x) pasting a big chunk of data, for instance the one below, into a cell of the editor will crash the RGui. 333333333333333333 333333333333333333333333333 33333333333333333333333333333333333333333333

Dear all, it looks like that something is wrong with the /bin/windows/base/rpatched.html page as it seems pointing to the 2.8.1rc version. Also, I do not know if it is relevant but notice the dates of the following files on ftp://ftp.stat.math.ethz.ch/Software/CRAN/bin/windows/base/ R-2.8.1pat-win32.exe 31963 KB 22/12/2008 16.15.00 R-2.8.1rc-win32.exe 31991 KB 25/12/2008 9.30.00 thank

Dear all, there are R packages able to simulate or estimate bilinear model for time series? I know it is an open problem, but do exist something for very simplified bilinear models? Alternatively, what kinfd of non linear time series models are performed in R? If R is not able, could someone suggest me for some commercial softwares to deal with bilinear models? i'm afraid of a negative

Dear all, I have tried to consider a correlation structure in lme (package lme4), but without success. I have used something like: > risul<-lme(y~x+ z , data=mydata, random=~ x | g, correlation = corAR1()) but the result is the same as: > risul<-lme(y~x+ z , data=mydata, random=~ x | g). Can anybody help me? Antonella ************************************************** Prof.

I tried to check or build a package under windows xp but I got the error the package can not be installed (without any details in the install.out file) I work with R-2.5.0, Miktex 2.5.0, and I have installed the unix tools.zip, Perl and Microsoft HTML Workshop. The path environment is ok. Have someone else encountered the same problem? Thank you, Cinzia