similar to: Query : Chi Square goodness of fit test

Hi, I have calculated chi-square goodness of fit test,Sample coming from Poisson distribution. please copy this script in R & run the script The R script is as follows ########################## start ######################################### No_of_Frauds<- c(4,1,6,9,9,10,2,4,8,2,3,0,1,2,3,1,3,4,5,4,4,4,9,5,4,3,11,8,12,3,10,0,7) lambda<- mean(No_of_Frauds) # Chi-Squared

How to add trendline (i.e. straight line passing through maximum points) in graph. I have worked on the data given below. Please tell me how to add trendline in the graph. The script is as follows =================================== start ==================================================== # The data is as follows data <- c( 0.01, 0.02, 0.04, 0.13, 0.17 , 0.19 , 0.21 , 0.27 , 0.27 ,

How to change the background in the plots The e.g. for which I am working is as follows, The R script is ################### start ####################################### amounts <- c(21790,5669,34921.17,60152.47,47228.61,16566.13,8283,3980,5445,1000,125 0,0,1285,1222,5001,600,1950,11580,7520,7999,4850,3850,16900,6095,0,4246, 8556,8280,3020,7250,0,8807,0) # histogram hist(amounts) #

Hi, I am trying to do something similar to the profiling target in the llvm-test suite makefiles, but I'm not a gmake expert, so I am stumped on something: I did some copy-and-paste of the profile code in llvm-test/Makefile.programs and got it working within SingleSource/Benchmarks, where I can say 'make pmf' or 'make profile' and get a build with profiling results or my own

On 3/21/06, Chris Lattner <sabre at nondot.org> wrote: > On Mon, 20 Mar 2006, Michael McCracken wrote: > > > Hi, I'm trying to access an analysis pass from the Inliner pass, and > > I'm having a lot of trouble getting that to work - I can verify that > > my pass is loaded and run (it is a dynamically loaded pass that is > > part of an analysisgroup),

On Mon, 20 Mar 2006, Michael McCracken wrote: > Hi, I'm trying to access an analysis pass from the Inliner pass, and > I'm having a lot of trouble getting that to work - I can verify that > my pass is loaded and run (it is a dynamically loaded pass that is > part of an analysisgroup), however, when I access it using > getAnalysis<> from within Inliner::runOnSCC, I am

Hi, a while back I wrote that the llvm makefiles didn't create the correct kind of file for use on darwin with -load. Since then, both the shared library and makefile system have been overhauled significantly. So I checked again - as updated from CVS, the current makefiles don't build the right object type on darwin. If you follow the advice of 'Writing an LLVM Pass" tutorial,

Hi, I'm trying to access an analysis pass from the Inliner pass, and I'm having a lot of trouble getting that to work - I can verify that my pass is loaded and run (it is a dynamically loaded pass that is part of an analysisgroup), however, when I access it using getAnalysis<> from within Inliner::runOnSCC, I am instead getting the default, dummy version of my analysis, which should

hello! any help me with winbind. i need to use samba/winbind just only to provide autentication with ntlm for squid. programs versions: linux rh 8.0 - squid 2.5S1 - samba 2.2.6 remember: the use of samba/winbind is only to provide autentication for squid with ntlm. MY smb.conf workgroup = CENTROADM password server = PMF security = domain winbind uid = 10000-20000 winbind gid = 10000-20000

Dear R-help,   Chi Square Test for Goodness of Fit     Problem Faced :   I have got a discrete data as given below (R script)   No_of_Frauds <-c 1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3)   I am trying to fit

Dear R-help, ? ? Chi Square Test for Goodness of Fit ? I have got a discrete data as given below (R script) ? No_of_Frauds<-c(1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3) ? I am trying to fit Poisson distribution to

Chi Square Test for Goodness of Fit   I have got a discrete data as given below (R script)   No_of_Frauds<-c(1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3)   I am trying to fit Poisson distribution to this data using R.  

Hello. when i type smbpasswd -j centroadm fetch_domain_sid: machine PMF rejected the tconX on the IPC$ share. Error was : NT_STATUS_ACCESS_DENIED. Failed to get domain SID. Unable to join domain CENTROADM. i have 3 nic on linux box an 3 on w2k pdc. what is the problem??? thanks WILSON This is my smb.conf [global] workgroup = centroadm password server = pmf security = domain winbind uid =

Dear Masters, I have a question to submit consider the following script m<-4.95 obs<-rpois(36,m) # i generate 36 realization from a poisson(m) hist(obs,freq=F) curve(dpois(x,m),add=T,col="red") #i wish to overlay on the histogram the theorical poisson density function errors are returned saing the x vector doesn't contain integers.... really bizarre i can't give

Hello r-help, As far as I've seen, there is no function in R dedicated to sampling from a discrete distribution with a specified mass function. The standard library doesn't come with anything called rdiscrete or rpmf, and I can't find any such thing on the cheat sheet or in the Probability Distributions chapter of _An Introduction to R_. Googling also didn't bring back anything.

Dear R-help, ? ? Chi Square Test for Goodness of Fit ? I have got a discrete data as given below (R script) ? No_of_Frauds<-c(1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3) ? I am trying to fit Poisson

Michael, I've implemented a LOADABLE_MODULE feature in the makefiles: http://mail.cs.uiuc.edu/pipermail/llvm-commits/Week-of-Mon-20050110/023147.html The approach taken is almost what you described below. However, I want to retain the distinction between a "regular" shared library and one that can be dlopened. So, if you specify SHARED_LIBRARY=1 you get a regular shared library

We obtained some disturbing results from convolve() (inaccuracies and negative probabilities). We'll try to make the context clear in as few lines as possible... Our function panjer() (code below) basically computes recursively the probability mass function of a compound Poisson distribution. When the Poisson parameter lambda is very large, the starting value of the recursive scheme ---

Hey Gang, Here is the situation. First of all I am a newbie, in the arena of R, so please bare with me. I am trying to make a plot with a series of plot lines that uses logs on the x axis, and when I plot it I am having a few odd things go on that I do not know how to correct. 1. the tick marks are not where I want them to be. I want them at .1, 1, 10, and 100, but I'm get them at 0.1,

Hi everyone, This just came to my attention --- I have CentOS 7 installed on one machine, and have configured elrepo and epel as additional repositories. When I turned on the yum-priorities package (and set up priorities in the order base&updates < elrepo < epel), it turns out that there are 65 conflicting packages between base and epel, and additional 5 between elrepo and epel (there