similar to: ts() objects in R

Was hoping it might get some help or a better explanation of this: /ADT/APInt.h:1217: uint64_t llvm::APInt::getZExtValue() const: Assertion `getActiveBits() <= 64 && "Too many bits for uint64_t"' failed. Program received signal SIGABRT, Aborted. 0x00007ffff6eb4d05 in raise (sig=6) at ../nptl/sysdeps/unix/sysv/linux/raise.c:64 64

Hi R Users, Sorry if its out of topic. I would like to ask you about twin peaks - normal distribution. How R can handle it, any example to explain it in R. Thanks, regards, Unung

When syncing one backup system (running dirvish, but that's not really relevant) to a second long-term backup system which uses btrfs snapshots, I get the following output: rsync: link "/parasite.oob.telegraaf.net/vservers-var-www/tree/elo/var/www/lokaalx/openx-htdocs/etc/xmlcache/.svn/prop-base/cache_etc-changes_schema-tables-core-12934.bin.svn-base" (in backup-aquagirl) =>

On Fri, Nov 16, 2012 at 3:00 PM, Ryan Taylor <ryta1203 at gmail.com> wrote: > Was hoping it might get some help or a better explanation of this: > > /ADT/APInt.h:1217: uint64_t llvm::APInt::getZExtValue() const: Assertion > `getActiveBits() <= 64 && "Too many bits for uint64_t"' failed. The error message is exactly what it says: you're trying to call

Dear R users, I am trying to make this (3 by 10) matrix A --A---------------------------------------------------- 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.5 0.5 0 0 0 0 0 0 0 ------------------------------------------------------- from "mass.func" --mass.func------------------------------------------- > mass.func $`00` prop 5 1 $`10`

Dear list members, I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275. If I am not wrong the R function implementing the Agresti et al. method is prop.test(). I ask an help because I

Hi, I have an fc18 system and trying to resize an LVM partition with an ext4 filesystem and receiving the following message from virt-resize: # virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home prop-1.img prop-expand.img command line: virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home prop-1.img prop-expand.img Examining prop-1.img ... libguestfs: trace:

Hi, I have an fc18 system and trying to resize an LVM partition with an ext4 filesystem and receiving the following message from virt-resize: # virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home prop-1.img prop-expand.img command line: virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home prop-1.img prop-expand.img Examining prop-1.img ... libguestfs: trace:

On 07/21/2013 07:01 PM, Alex wrote: > Hi, > > I have an fc18 system and trying to resize an LVM partition with an > ext4 filesystem and receiving the following message from virt-resize: virt-resize is part of libguestfs, which is layered on top of libvirt. As such, I'm redirecting this mail to the libguestfs mailing list. > > # virt-resize -d --expand /dev/sda1

Hi r-users,   I would like to use prop.test code and I also calculate manually to test the proportions for 2 groups.  The problem is the answer for the p-value calculated manually are different from prop.test.  Here are the results:   ## Manually   z value: z= (phat-p)/sqrt(pq/n) = (.084-.081)/sqrt(.081(1-.081)/691)=0.289, pvalue=0.7718   ## Using prop.test code > low <- c(56,58) > tot

Hi, >> > # virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home >> > prop-1.img prop-expand.img >> > command line: virt-resize -d --expand /dev/sda1 --LV-expand >> > /dev/mapper/prop-home prop-1.img prop-expand.img >> > Examining prop-1.img ... >> > libguestfs: trace: add_drive "prop-1.img" "readonly:true"

Hi, >> >> > # virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home >> >> > prop-1.img prop-expand.img >> >> > command line: virt-resize -d --expand /dev/sda1 --LV-expand >> >> > /dev/mapper/prop-home prop-1.img prop-expand.img >> >> > Examining prop-1.img ... >> >> > libguestfs: trace:

While building a package, I see the following: * checking R code for possible problems ... NOTE cheat.fit: no visible binding for global variable 'Zobs' plot.jml: no visible binding for global variable 'Var1' I see the issue has come up before, but I'm having a hard time discerning how solutions applied elsewhere would apply here. The entire code for both functions is below,

I write a function to get the frequency and prop of a variable. freq<-function(x,digits=3) {naa<-is.na(x) nas<-sum(naa) if (any(naa)) x<-x[!naa] n<-length(x) ta<-table(x) prop<-prop.table(ta)*100 res<-rbind(ta,prop) rownames(res)<-c("Freq","Prop") cat("Missing value(s) are",nas,".\n") cat("Valid case(s)

Hi, >> >> >> > # virt-resize -d --expand /dev/sda1 --LV-expand /dev/mapper/prop-home >> >> >> > prop-1.img prop-expand.img >> >> >> > command line: virt-resize -d --expand /dev/sda1 --LV-expand >> >> >> > /dev/mapper/prop-home prop-1.img prop-expand.img >> >> >> > Examining prop-1.img ...

Dear Josh, Thanks for your help! Does your answer mean, that you agree the two methods should do the same, and what I was guessing, despite the small differences? What I prefer about ci.pd is, that the help clearly says which method is implemented, which is not the case for prop.test. But I do not know who has programmed the function. Best wishes Steffi Stefanie von Felten, PhD Statistician

Full_Name: Robert W. Baer, Ph.D. Version: 1.6.2 OS: Windows 2000 Submission from: (NULL) (198.209.172.106) Problem: prop.test() does not seem to produce appropriate confidence intervals for the case where the vector length of x and n is one. (I am not certain about higher vector lengths.) As an example, I include x=6 and n=42 which has a mean proportion of 0.115. When I calculate the 95% CI

Hello, Does anyone know which method from Newcombe (1998)* is implemented in prop.test for comparing two proportions? I would guess it is the method based on the Wilson score (for single proportion), with and without continuity correction for prop.test(..., correct=FALSE) and prop.test(..., correct=TRUE). These methods would correspond to no. 10 and 11 tested in Newcombe, respectively. Can

Hi, I am trying to sort out a discrepancy between power calculations results between me and another statistician. I use R but I am not sure what she uses. It is on the proportions test and so I have been using pwr.prop.test. I think I have tracked the problem down to pwr.prop.test not using the continuity correction for the test (I did this by using the java applet from

Hi, I have a seemingly simple proportional test. ?here is the question I am trying to answer: ? There is a test running each day in the lab, the test comes out as either positive or negative. So at the end of each month, we can calculate a positive rate in that month as the proportion of positive test results. The data look like: ? Month??? ??# positive?????? # total tests??? positive rate