similar to: Flushing (Reset) 'last.warning'

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I've been using the standard isolinux.cfg file for some time with great success. Have it currently display a file at the beginning with a little .lss graphic file, and some basic info then with the image names and info. Also have 4 of the help files linked to the F1 - F4 keys. But I just had a number of emails back

Dear R-helpers: I am an entry-level R user and have a question related to overlaying a barchart and and a xyplot using latticeExtra. My problem is that when I overlay them I fail to align their x-axes. I show my problem below through an example. #the example data frame is provided below vec <-c(1,5.056656,0.5977967,0.06126587,0.08557778, 2,4.601049,0.5995989,0.05002188,0.11410027,

Hello, I need some help with the simulatedSNPs function from scrime package. I am trying to simulate some genotype of a case/control disease locus. The allele frequence are cases/controls Sample cases controls 2000 .5 .10 1500 .6 .40 In each of the row, i need to simulate 100 snp and calculate the pvalue ##############Download Scrime

Dear R mailing list, I have a dataset with genotypes from trios and I would like to infer haplotypes for each mother, father and child. The package that I could find that can do this is tdthap. But when the mother is homozygous (e.g., 2/2) the haplotype is called as not possible to infer (0); I would prefer for it to call the genotype (2). From what I understand it is doing what I would like

I just started using R and I'm having all sorts of "fun" trying different things. I'm going to document the different things I'm doing here as a kind of case study. I'm hoping that I'll get help from the community so that I can use R properly. Anyways, in this study, I have demographic data, drug usage data, and side effect data. All of this is loaded into a csv

I need to use R to model a large number of experiments (say, 1000). Each experiment involves the random selection of 5 numbers (without replacement) from a pool of numbers ranging between 1 and 30. What I need to know is what *proportion* of those experiments contains two or more numbers that are consecutive. So, for instance, an experiment that yielded the numbers 2, 28, 31, 4, 27 would be

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) =>

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`

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:

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, >> >> > # 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, >> > # 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 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

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

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)

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

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 ...