similar to: Histograms with bin proportions on the y-axis

Hello Everyone, I have what I think is a complex text parsing task. I've provided some sample data below. There's a relatively simple version of the coding that needs to be done and a more complex version. If someone could help me out with either version, I'd greatly appreciate it. Here are my sample data. haveData <- structure(list(profile_key = structure(c(1L, 1L, 2L, 2L, 2L,

Hello. How can I compute the Bootstrap p-Value for a one- and two sided test, when I have a bootstrap sample of a statistic of 1000 for example? My hypothesis are for example: 1. Two-Sided: H0: mean=0 vs. H1: mean!=0 2. One Sided: H0: mean>=0 vs. H1: mean<0 I hope you can help me Thanks in advance Regards, Andreas

David Given <dg at cowlark.com> writes: > The obvious place to start on this is the C backend, except in these 2.8 > days the C backend is so hedged about with caveats I'm rather wary of > basing anything on it. I also recall seeing comments here that it's due > for a rewrite from scratch, and that various people were looking into > it. Can anyone go into more detail

Hi There, Using t.test to test hypothesis about which one is greater, A or B? where A={10,20,30},B={25,30,15}. My question is which of the following conclusions is right? #################hypothesis testing 1 h0: A greater than or equal to B h1: A less than B below is splus code A=c(10,20,30) B=c(25,30,15) t.test(c(10,20,30),c(25,30,15),alternative="less") output: p-value=0.3359

Hi I was wondering if there is a permutation test available in R for linear models with continuous dependent covariates. I want to do a test like the one shown here. bmi<-rnorm(100,25) x<-c(rep(0,75),rep(1,25)) y<-rnorm(100)+bmi^(1/2)+rnorm(100,2)*x+bmi*x H0<-lm(y~1+x+bmi) H1<-lm(y~1+x+bmi+x*bmi) anova(H0,H1) summary(lm(y~1+x+bmi)) But I want to use permutation testing to

Is there any way of determining whether a file has been successfully downloaded by a user or to put it another way, whether a dowload was interrupted? -- Posted via http://www.ruby-forum.com/.

I am interested in using LLVM to translate C and C++ into high-level language code. (As an update to an earlier project of mine, Clue, which used the Sparse compiler library to do this: it targets Lua, Javascript, Perl 5, C, Java and Common Lisp, with a disturbing amount of success. See http://cluecc.sourceforge.net for details.) The obvious place to start on this is the C backend, except in

Hi All This is a general stats problem that I am dealing with using R, so any help is greater appreciated. I have two lognormal distributions with means M1 and M2. If we have: H0: log(M1/M2)=0 H1: log(M1/M2) !=0 equivalent to log(M1/M2)=log(1+P) where P<0 or P>0. If we calculate the power for a value of P=0.1 or P=-0.1 (i.e. a 10% difference) and say assume SE{log(M1/M2)}=0.05, and

On (Mon) 28 Jul 2014 [15:32:42], Amos Kong wrote: > QEMU commandline: > > ./x86_64-softmmu/qemu-system-x86_64 --enable-kvm -m 2000 -drive file=/images/nolvm.qcow2 --kernel /home/devel/linux/arch/x86/boot/bzImage -append "ro root=/dev/sda1 console=ttyS0,115200" -monitor unix:/tmp/m,nowait,server -device virtio-net-pci,netdev=h0,vectors=17,mq=on,id=n0 -netdev

On (Mon) 28 Jul 2014 [15:32:42], Amos Kong wrote: > QEMU commandline: > > ./x86_64-softmmu/qemu-system-x86_64 --enable-kvm -m 2000 -drive file=/images/nolvm.qcow2 --kernel /home/devel/linux/arch/x86/boot/bzImage -append "ro root=/dev/sda1 console=ttyS0,115200" -monitor unix:/tmp/m,nowait,server -device virtio-net-pci,netdev=h0,vectors=17,mq=on,id=n0 -netdev

http://bugzilla.netfilter.org/show_bug.cgi?id=620 Summary: Connection reset by peer Product: netfilter/iptables Version: unspecified Platform: i386 OS/Version: All Status: NEW Severity: blocker Priority: P1 Component: unknown AssignedTo: laforge at netfilter.org ReportedBy: vshiray at

On Tue, Mar 21, 2017 at 09:03:35AM +0100, Thomas Schmitt via Syslinux wrote: > I think we should offer David a binary which he can combine with > the MBR of the ISO and the image with the recognizable blocks. > I will later today upload a binary version of my block producer > and post the URL. > > The combination will be: > 432 bytes from Martin's MBR > 80 bytes

Hi, I am running glm logit regressions with R and I would like to test a linear combination of coefficients (H0: beta1=beta2 against H1: beta1<>beta2). Is there a package for such a test or how can I perform it otherwise (perhaps with logLik() ???)? Additionally I was wondering if there was no routine to calculate pseudo R2s for logit regressions. Currently I am calculating the pseudo R2

Dear R users I am using KS test to compare two different distribution for the same variable (temperature) for two different time periods. H0: the two distributions are equal H1: the two distributions are different ks.test (temp12, temp22) Two-sample Kolmogorov-Smirnov test data: temp12 and temp22 D = 0.2047, p-value < 2.2e-16 alternative hypothesis: two-sided Warning message: In

Hi everybody, somehow i dont get the shapiro wilk test for normality. i just can?t find what the H0 is . i tried : shapiro.test(rnorm(5000)) Shapiro-Wilk normality test data: rnorm(5000) W = 0.9997, p-value = 0.6205 If normality is the H0, the test says it?s probably not normal, doesn ?t it ? 5000 is the biggest n allowed by the test... are there any other test ? ( i know qqnorm

On Mon, Jul 28, 2014 at 01:25:14PM +0530, Amit Shah wrote: > On (Mon) 28 Jul 2014 [15:32:42], Amos Kong wrote: > > QEMU commandline: > > > > ./x86_64-softmmu/qemu-system-x86_64 --enable-kvm -m 2000 -drive file=/images/nolvm.qcow2 --kernel /home/devel/linux/arch/x86/boot/bzImage -append "ro root=/dev/sda1 console=ttyS0,115200" -monitor unix:/tmp/m,nowait,server

On Mon, Jul 28, 2014 at 01:25:14PM +0530, Amit Shah wrote: > On (Mon) 28 Jul 2014 [15:32:42], Amos Kong wrote: > > QEMU commandline: > > > > ./x86_64-softmmu/qemu-system-x86_64 --enable-kvm -m 2000 -drive file=/images/nolvm.qcow2 --kernel /home/devel/linux/arch/x86/boot/bzImage -append "ro root=/dev/sda1 console=ttyS0,115200" -monitor unix:/tmp/m,nowait,server

Hi Dear all, I have some gene expression data samples from different tissue types ----------------------------------------------- - 120 samples from blood (B) - 20 samples from Liver (L) - 15 samples from Kidney (K) - 6 samples from heart (H) ----------------------------------------------- All the samples are from different individuals, so there are in total 161 individuals from which the DNA was

Dear all, I have a multivariate dataset containing 100,000 or more points. I want find the p-value for the dataset of points coming from a particular multivariate normal distribution With mean vector u Covariance matrix s2 So H0: points ~ MVN( u, s2) H1: points not ~ MVN( u, s2) How do I find the p-value in R? To me this is a likelihood ratio test problem. In H0 the parameters are

Dear All I want to calculate power of test. I want to test H0: Rho = 0 VS H1: Rho != 0. Assume, I have r=0.2 and sample size = 100. How I can do this. Many Thanks Jumlong -- Jumlong Vongprasert Assist, Prof. Institute of Research and Development Ubon Ratchathani Rajabhat University Ubon Ratchathani THAILAND 34000 [[alternative HTML version deleted]]