similar to: Inverse cumulative probability

Hello, Given a probability function: p(x) = 12 / (25(x+1)) , x=0, 1, 2, 3 we generate the following values: C1 C2 0 0.48 1 0.24 2 0.16 3 0.12 Now, I'm supposed to create 50 random values using this table. In MiniTab, I simply selected Calc -> Random Data -> Discrete, and selected the columns, and it created 50 random values in a new column.[1] How do I do the

Hi, I have access to two providers. On one of them the authuser is the same as the username, so outgoing works. On the other one I can only get incoming - what ever combination I try for outgoing I get an error. The register command has the ability to specify both usernames (which is why incoming works) but outgoing doesn't seem to, and without that I'm stuck. They are defined as:

The asterisk wiki states that it needs SIP, IAX2, IAX and RTP open to the world to work. Is this necessarily true, or does it only need some of these outgoing? I'm concerned as anyone that could guess an extension number&password could use my server to make outgoing calls. It would help if the extensions had a netmask/allowable IP setting like the iax.conf file uses, but there

I've modified ztdummy to work under 2.6 (basically ditched all the uhci stuff and added a kernel timer instead). How do I test my changes are doing anything useful? zttest gives: --- Results after 14 passes --- Best: 99.975586 -- Worst: 99.975586 Is that good/bad/terrible...? Tony -- Te audire no possum. Musa sapientum fixa est in aure. Tony Hoyle <tmh@nodomain.org> Key ID:

Hi everybody, I've spent last 16 hours trying to get Tinc working on my two almost identical linux boxes. Both are running Debian stable with backported Openssl and self-compiled kernel 2.4.24 with ebtables-patch to enable bridging firewall. Both firewalls have both masquaraded and just bridged nets behind (LAN & DMZ) and they are working perfectly. Now I need to get from my home to

Still no luck using asterisk as a proxy. 48 hours solid working on this. I'm beginning to think asterisk isn't going to be compatible with the provider I'm using :( Has anyone got *any* clues as to what can cause this message? It's definately provider specific (voiptalk works, pipecall doesn't) but confusingly seems to be caused by something in the client phone app. I

So I just saw this VoIP-centric article at slashdot (http://slashdot.org/article.pl?sid=04/05/22/1840220) which mentions e164.org. It's a "non-profit public DNS root designed to map phone numbers to Internet protocols." Is anyone on this list actually using this? They have asterisk config instructions: http://www.e164.org/config.php I wonder if someone can help me understand

ztdummy successfully compiles under kernel 2.6, but when I load it I get ztdummy: Unknown symbol fill_td ztdummy: Unknown symbol insert_td_horizontal ztdummy: Unknown symbol uhci_devices ztdummy: Unknown symbol uhci_interrupt ztdummy: Unknown symbol alloc_td ztdummy: Unknown symbol unlink_td ztdummy: Unknown symbol delete_desc I had a quick look at the source, and it looks like these function

I have tried to access the tinc-vpn.org website from multiple internet connections for the past couple of days with no luck. Anything going on?

Hi All, Having searched the archives, I can see there has been much discussion at various points regarding capture of caller id information from good old BT. If I understand correctly, it seems that not only do the drivers not currently support it, but my X101P possibly/probably can't do it anyway due to hardware? So, that leaves me with the modem route, which seems more and more unlikely,

hi all: ecdf() is the empirical cumulative distribution function, but I need the INVERSE cumulative distribution. how can I calculate it? thank you in advance /salva

Dear R Users, Does R have an "inverse empirical cumulative distribution" function, something one can use to invert ecdf ? Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you

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Hi! [Ubuntu 14.04.2, Samba 4.1.6] When attempting to install Samba 4 according to https://wiki.samba.org/index.php/Samba4/HOWTO I encountered the following problem when testing the installation with smbclient: "tree connect failed: NT_STATUS_BAD_NETWORK_NAME" It turned out that the file /usr/lib/x86_64-linux-gnu/samba/vfs/acl_xattr.so was missing so installing the package

Dear R users, Given a user-defined cumulative distribution function F, I want to compute F^{-1}(x). How is that possible with R? Best Regards, -- Gildas Mazo PhD student MISTIS team at INRIA Grenoble, France [[alternative HTML version deleted]]

Hallo, I need your help. I fitted my distribution of data with beta-prime, I need now to plot the Cumulative distribution. For other distribution like Gamma is easy: x <- seq (0, 100, 0.5) plot(x,pgamma(x, shape, scale), type= "l", col="red") but what about beta-prime? In R it exists only pbeta which is intended only for the beta distribution (not beta-prime) This is

Dear useRs, With the following set of command i managed to create the copula density ================================================ >library(MASS) >library(evd) >X<-matrix(sample(1:3000), ncol=2) >U=cbind(rank(X[,1])/(nrow(X)+1),rank(X[,2])/(nrow(X)+1)) > mat1=kde2d(U[,1],U[,2],n=150) image(mat1$x,mat1$y,mat1$z,col= rev(heat.colors(1500)),xlab="",ylab="")

Hi there, I have a dataset from a longitudinal study with a lot of drop-out. I want to implement the inverse probability weighting method by Robins 1995 JASA paper "Analysis of semiparametric regression models for repeated outcomes in the presence of missing data". Does anyone know if there is a package to do it in R (or other software)? Thanks a lot! Lei

Greetings, I have a very, very, simple research question. I want to predict one dichotomous variable using another dichotomous variable. Straightforward, right? The issue is that the dataset has two issues causing some complications for me. 1) The subjects are not independent -- they are sibling pairs. Every person in the dataset has a sibling in the dataset. This needs to be treated a

Hi R-Help, Please consider the following simple case: I have a class like setClass("myClass", representation(x="matrix", y="character")) and I would like to use the method *"["* for a *myClass* objects (but changing the default *drop* argument from TRUE to FALSE): setMethod("[","myClass", function(x,i,j,...,drop=FALSE)