similar to: var.test

Hello. I'm trying to find a way in R to calculate between and within subject variances and confidence intervals for some analytical method development data. I've found a reference to a method in Burdick, R. K. & Graybill, F. A. 1992, Confidence Intervals on variance components, CRC Press. This example is for Balanced Data confidence interval calculation from Pg 62. The data are

Sometimes I write code like this: > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !pubid %in% c(104, 106, 107, 108)) and I get a little worried that maybe I've remembered the precedence rules wrong, so I change it to > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !(pubid %in% c(104, 106, 107, 108))) and pretty

Please help me interpret the following results. The full model (Schwa~Dialect*Prediction*Reduction) was reduced via both update() and step(). The minimal adequate model is: ancova<-lm(Schwa~Dialect+Prediction+Reduction+Dialect:Prediction) Schwa is response variable Dialect is factor, two levels ("QF","SF") Prediction is factor, two levels ("High","Low")

What was happening in file_owner function did not match the description in the comment. When a path is owned by multiple packages the returned string was in fact a concatenation of the names of all packages that own it. E.g. for `Linux.is_file_owned g inspect "/etc"` the returned value was "filesystemyum" (i.e. "filesystem" + "yum"). Signed-off-by: Tom??

Dear all, I found the following behaviour > rf(5,Inf,Inf) [1] 1 1 1 1 1 but > qf(0.1,Inf,Inf) [1] NaN Warning messages: 1: In qf(0.1, Inf, Inf) : value out of range in 'lgamma' 2: In qf(p, df1, df2, lower.tail, log.p) : NaNs produced incidentally, > pf(1.00000000000001,Inf,Inf) [1] 1 > pf(1.0000000000000001,Inf,Inf) [1] 0.5 Is this the expected behaviour? Thanks

Linux.file_owner is not used by any other function, so remove it. Linux.is_file_owned is only used when removing kmod-xenpv on old RHEL releases, and so is only required to work for RPM. The old file_owner/is_file_owned functions were completely broken. This replaces them with a simpler, working implementation that only covers the narrow use case of removing kmod-xenpv non-owned directories.

Hi, I have downloaded the newest source code ocfs2-1.2.3.tar.gz from oss.oracle.com. After do the configuration I find a strange thing. Although my kernel is "2.6.9-11.19AX"(Asianux2.0 on a vmware server with a single processor configured), the configuration find that it is 2.6.9-11.19AX-smp. So after I make and install, those *.ko went to the wrong place. The reason is: 1.

Hi, I'm using the R library(car) to draw confidence/prediction ellipses in a scatterplot. >From what i understood the ellipse() function return an ellipse based parameters: shape, center, radius . If i read dataEllipse() function i can see how these parameters are calculated for a confidence ellipse. ibrary(car) a=c(12,12,4,5,63,63,23) b=c(13,15,7,10,73,83,43) v <-

On Wed, 3 Aug 2016 11:14:26 +0100 "Richard W.M. Jones" <rjones@redhat.com> wrote: > On Mon, Aug 01, 2016 at 02:46:14PM +0200, Tomáš Golembiovský wrote: > > What was happening in file_owner function did not match the description > > in the comment. When a path is owned by multiple packages the returned > > string was in fact a concatenation of the names of all

John Fox wrote: >The confidence ellipse for a pair of coefficients is just (with an >adjustment for size) the perpendicular shadow of the joint ellipsoid, in >the same sense that the confidence intervals for individual coefficients >are shadows of the joint ellipsoid or ellipse. The usual confidence ellipse >for 2 of q coefficients uses qf(.95, 2, df.error) to scale the ellipse; if

Dear All, I would be very appreciative of your help with the following 1). I am running multivariate multiple regression through the manova() function (kindly suggested by Professor Venables) and getting two different answers for test=c("Wilks","Roy","Pillai") and tests=c("Wilks","Roy",'"Pillai") as shown below. In the

Dear List: The square of the noncentral t-statistic with noncentrality parameter \delta is a noncentral F with noncentrality parameter \lambda=\delta^2. So, t^2_{\nu,\delta} = F_{1,\nu,\lambda=\delta^2}. Consequently, it should follow that t^2_{1-\alpha/2,\nu,\delta} = f_{1-alpha,1,\vu,\lambda=\delta^2}. However, this is not what is happening with the following code. The central

Dracut includes what was being patched in Signed-off-by: Mike Burns <mburns at redhat.com> --- scripts/ovirt-config-boot | 47 --------------------------------------------- 1 files changed, 0 insertions(+), 47 deletions(-) diff --git a/scripts/ovirt-config-boot b/scripts/ovirt-config-boot index d13dad2..28d1572 100755 --- a/scripts/ovirt-config-boot +++ b/scripts/ovirt-config-boot @@

Dear people, I've a problem in doing a power calculation. In Fryer and Nicholson (1993), ICES J. mar. Sci. 50: 161-168 page 164 an example is given with the following characteristics T=5, points in time R=5, replicates Var.within=0.1 q=10, a 10% increase per year The degrees of freedom for the test are calculated as Vl=T*R-2=23 and the non-centrality parameter Dl=4.54. Using this they get a

I am using rw0641 with Windows 98. To list just the influential repetitiones that result from "influence.measures", I am using the input result <- lm(y~x) and the code from the example in the help for "influence.measures" INFLM <- function(result){ inflm <- influence.measures(result) which(apply(inflm$is.inf,1,any)) } It works fine up to now with the

Dear all, I have just sent an email with my problem, but I think no one can see the red part, beacuse it is black. So, i am writing again the codes: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N <- 200 I <- 5 taus <- c(0.480:0.520) h <-

Dear all, I am doing something wrong. I am trying to apply a formula for sample size calculation as in the book "Design and Analysis of Clinical Trials", from Chow et all. There a suggested sample size strategy uses the formula 0.30/0.45=F(0.80,2n,2n)/F(0.025,2n,2n) which gives n=96, as in the book. (here F(alfa,k,n) is the upper (alfa)th quantile of an F distribution with k,n

Hi. I've found inconstancy between output of repoquery and rpm. I was looking forward towards apache php 5.4 module which must provided by some package SCL (can someone tell me?). rpm -qf /etc/httpd/modules/mod_proxy.so httpd-2.2.15-29.el6.centos.x86_64 repoquery -qf /etc/httpd/modules/mod_proxy.so so repoquery results in no output yum list installed httpd Loaded plugins: fastestmirror

Full_Name: Version: 1.9.0 OS: Windows XP Submission from: (NULL) (134.126.93.191) I believe the noncentrality parameter, lambda, in power.anova.test is incorrect. The noncentrality paramter is defined as lambda <- (groups - 1) * n * (between.var/within.var). The n should not be there. The function pf defines the noncentrality parameter as the sum of squares of the means. Therefore, the

On 12/17/2016 01:05 PM, John R Pierce wrote: > On 12/17/2016 1:25 AM, geo.inbox.ignored wrote: >> "locate wireshark|grep bin/" show 2 paths for wireshark; >> >> /usr/bin/wireshark >> /usr/sbin/wireshark > > rpm -qf /usr/bin/wireshark > rpm -qf /usr/sbin/wireshark > }} no need for that. i know they are both installed. problem is that i can