similar to: function table

Hello, today I've updated on the newest R-Version. But sadly a function I needed didnt want to work: The input is e.g. days(as.Date("21-07-2005","%d-%m-%y")) the error is: Fehler in Math.Date(dts): floor nicht definiert f??r Date Objekte (Error in Math.Date(dts): floor not defined for date objects) Same for year. Only months gives me the correct output. In Version

Hi, I successfully configured dovecot using virtual users (and LDAP/AD). deliver is the LDA and verifies if the user exists (as recommended in the WIKI). However, the howtos in the Wiki say *nothing* about the case that the recipients should be verified *before* receiving the messages (prevent backscatter, ...). All configurations in the dovecot-Wiki (postfix and exim) just accept the mails

Hi, I am using rsync to keep two directores on two servers in sync. Machine A, the "client" is the one where the rsync process is invoked, which then logs into Machine B, the "server" as root with ssh and a key. The key is restricted in /root/.ssh/authorized_keys to a script that checks wither $SSH_ORIGINAL_COMMAND matches the rsync --server command that I expect, such as, for

Hi, Andras, Thanks for the comments. Yes, I am aware of those issues. I probably should have been more accurate on my usage of terms. Actually in my project, the unit collection is a mixture of diphones and words. However seems to me, these synthesizer specific issue is irrelevant to my question about speex. As you said, i merely use speex as storage methods. All I ask for is to get the

I just started to write tiny functions and therefore I appologise in advance if I am asking stupid question. I wrote a tiny function to give me back from the original matrix, a matrix showing only the values smaller -0.8 and bigger 0.8. y<-c(0.1,0.2,0.3,-0.8,-0.4,0.9) x<-c(0.5,0.3,0.9,-0.9,-0.7,0.3) XY<-rbind(x,y) extract.values<-function (x) { if(x>=0.8|x<=-0.8)x

Hello, I've written a function that plots a few functions in a diagram. The xlim and or ylim is not always the same, and set automatically by R. A legend is part of this object. Now the problem is: where to put the legend? Me would help a function that returns the limits and scaling of the axis. Thanks for your help. Carsten [[alternative HTML version deleted]]

Hello, just another problem in R, maybe it's simple to solve for you. I didn't find a solution up to now, but I'm convinced that I'm not the only one who has/had a similar problem. Maybe there's a ready-made function in R? The prob: I've imported a CSV-file into R with 1000 dates of an observed event (there's only information of the date. When there happend no

Hi, I've made a function that executes a monte-carlo simulation. It always needs a lot of time until e.g. 1Mio simulation steps are done. So I would like to know, how many percent of the work is already done. In an Excel/VBA Solution I could easily implement a status bar or status window. How could an R-Solution look like? Carsten

Hello, I tried to fit a lognormal distribution by using optim. But sadly the output seems to be incorrect. Who can tell me where the "bug" is? test = rlnorm(100,5,3) logL = function(parm, x,...) -sum(log(dlnorm(x,parm,...))) start = list(meanlog=5, sdlog=3) optim(start,logL,x=test)$par Carsten. [[alternative HTML version deleted]]

Hello, I see that the more I work with R and the more the code gets larger I would like to have some graphic support in my quellcode. Is there a browser that could be easily implemened in R? And how do I call it from R? It would be nice if the browser replaces the "fix()" function. Carsten

Hi list, Does anyone use the .deb package of asterisk? Is it stable? woks fine? thanks Eduardo

We have a samba server behind a firewall with the IP address 192.168.200.2 and a Windows 2000 Domain controller with the IP address 192.168.255.1 . When we put the samba in the same subnet then it woks fine. We forwarded the fooling ports: TCP and UDP 192.168.200.2 to 192.168.255.1 port 137 192.168.200.2 to 192.168.255.1 port 138 192.168.200.2 to 192.168.255.1 port 139 192.168.200.2 to

Dear Luke ! Thanh you for the lovely packages. I have used it, it woks fine for Linux, XP, but concerning about windows 7 - 64 bits. I have problem with function makeCluster(). with R 13.0 version. I wonder it may caused a update problem or ??? Do you have any hint ??? Best Truc

Hello, maybe that my Question is a "beginner"-Question, but up to now, my research didn't bring any useful result. I'm trying to fit a distribution (e.g. lognormal) to a given set of data (ML-Estimation). I KNOW about my data that there is a truncation for all data below a well known threshold. Is there an R-solution for an ML-estimation for this kind of data-problem? As

My destination is :/Example(folder) / ITD(folder) / LW(folder) ,user(lw) of group(ITD) can enter and do everything(rwx) in LW(folder),the following is ACL settings On Freebsd: ----------------------- /Example(folder) : # owner: root # group: wheel user::rwx group::r-x other::r-x --------------------- /Example(folder) / ITD(folder): # owner: root # group: wheel user::rwx group::r-x group:ITD:r-x

Hello, I want to fit a tree parameter distribution to given data. I tried it with sample data using the "fitdistr" function. Here my workflow that didn't had any result: I started with the generalized gamma distr, which is: r*dgamma(x^r,shape,rate) The R-function is: ggamma = function (x,r,shape,rate) r*dgamma(x^r,shape,rate=rate) For the first step I assumed r = 1 and I

Hi all, I'm using the function "fitdistr" (library MASS) to fit a distribution to given data. What I have to do further, is getting the log-Likelihood-Value from this estimation. Is there any simple possibility to realize it? Regards, Carsten

Hi Armin, Argument parsing isn't handled by the JIT. This sounds like you're making redundant calls to cl::ParseCommandLineOptions ? Deleting the ExecutionEngine and any RTDyldMemoryManager instances that you've created should be enough to reset the JIT. Cheers, Lang. On Tue, Jan 20, 2015 at 12:38 PM, Armin Steinhoff <armin at steinhoff.de> wrote: > > Hi, > >

Hello, I have to generate a couple of random datasets to validate an actuarial software. Each set has to contain at least two columns: (1) Date of the loss events occurrence; (2) Severity of loss I'm generating the dates on a monthly basis by, for example: ts(matrix(rpois(36,10)), start=c(2003, 1), frequency=12). >From that output I generate dates "by hand", what is REALLY time

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