similar to: logistic regression

R 2.9.1 Windows XP I am fitting a random effects ANOVA with two factors Group which has two levels and Time which has three levels: fita<-lme(Post~Time+factor(Group)+factor(Group)*Time, random=~1|SS,data=blah$alldata) I want to get the omnibus significance tests for each factor and the interaction. I believe I can get the omnibus test for the interaction by running the model:

Daniel, When Group is entered as a factor, and the factor has two levels, the ANOVA table gives a p value for each level of the factor. What I am looking for is the omnibus p value for the factor, i.e. the test that the factor (with all its levels) improves the prediction of the outcome. You are correct that normally one could rely on the fact that the model

Clang optimizes code by replacing some parts with efficient library functions. For example the following code: for (i=0;i<size;++i) dest[i]=src[i]; will be compiled to (target=ARM assembly): bl __aeabi_memcpy(PLT) The compile cmd: /usr/share/android-arm-l14-toolchain/bin/clang31 -cc1 -triple arm-none-linux-androideabi -S -target-abi aapcs-linux -target-cpu arm1022e

Example: > f <- function(x) { 1 + 2 * log(1 + 3 * x) + rnorm(1, sd = 0.5) } > y <- f(x <- c(1 : 10)); y [1] 4.503841 5.623073 6.336423 6.861151 7.276430 7.620131 7.913338 8.169004 [9] 8.395662 8.599227 > nls(x ~ a + b * log(1 + c * x), start = list(a = 1, b = 2, c = 3), trace = TRUE) 37.22954 : 1 2 3 Error in numericDeriv(form[[3L]], names(ind), env) : Missing value or an

This affects -o rhv and -o vdsm. Signed-off-by: Tomáš Golembiovský <tgolembi@redhat.com> --- v2v/create_ovf.ml | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/v2v/create_ovf.ml b/v2v/create_ovf.ml index cfca63452..03df7f934 100644 --- a/v2v/create_ovf.ml +++ b/v2v/create_ovf.ml @@ -390,6 +390,29 @@ let rec create_ovf source targets guestcaps inspect ]

On Thursday, 1 March 2018 17:24:17 CET Richard W.M. Jones wrote: > Without this extra element, oVirt will crash with a Java > NullPointerException (see https://bugzilla.redhat.com/1550123). > > Fixes commit dac5fc53acdd1e51be2957c67e1e063e2132e680. > --- > v2v/create_ovf.ml | 6 ++++++ > 1 file changed, 6 insertions(+) > > diff --git a/v2v/create_ovf.ml

Hi Jim, I have tried "-fno-builtin" but it didn't help. Thanks, David On Tue, Aug 5, 2014 at 12:12 AM, Jim Grosbach <grosbach at apple.com> wrote: > Hi David, > > "-fno-builtin” is probably what you want. > > -Jim > > On Aug 4, 2014, at 2:19 AM, David Sela <sela.david at gmail.com> wrote: > > Clang optimizes code by replacing some parts

This affects -o rhv and -o vdsm. Signed-off-by: Tomáš Golembiovský <tgolembi@redhat.com> --- v2v/create_ovf.ml | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/v2v/create_ovf.ml b/v2v/create_ovf.ml index cfca63452..f5dc64753 100644 --- a/v2v/create_ovf.ml +++ b/v2v/create_ovf.ml @@ -390,6 +390,29 @@ let rec create_ovf source targets guestcaps inspect ]

The change is not correct in case the OVF is used in -o vdsm mode, for example. Let's revert it, and then implement it properly. This reverts commit 296b2f66c71df0bf5ee2ee605fe4b92672796ab3. --- v2v/create_ovf.ml | 2 +- v2v/test-v2v-o-rhv.ovf.expected | 2 +- v2v/test-v2v-o-vdsm-options.ovf.expected | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-)

v1 -> v2: - Support for passing topology through -o glance. - Support for passing topology through -o rhv. - Use bool for acpi/apic/pae struct fields in virt-p2v. - Write the xpath expression in error messages instead of file/line. - Fix more memory leaks in virt-p2v cpuid.c. - Passes make check & check-valgrind. There may be some other minor changes. I believe that everything

v2 -> v3: - Changes to the Curl API suggested by Pino.

v1 -> v2: - Fixed the bug with precedence of if / @. - Add some imperative list operators inspired by Perl, and use those for constructing the Curl arguments, and more. Rich.

I am fitting a cox PH model w/ 2 predictors, x1 = 0/1 treatment variable and x2=continuous variable. I am using natural splines (ns) to model the effect of x2. I would like to examine the estimated effect of x2 on the hazard. I have tried various approaches (below; let model.fit= fitted model using coxph in survival library): 1. The simplest method appears to be using termplot(model.fit).

I'm attempting to do model selection with AIC, using a glm and a lognormal distribution, but: fit1<-glm(BA~Year,data=pdat.sp1.65.04, family=gaussian(link="log")) ## gives the same result as either of the following: fit1<-glm(BA~Year,data=pdat.sp1.65.04, family=gaussian) fit1<-lm(BA~Year,data=pdat.sp1.65.04) fit1 #Coefficients: #(Intercept) Year2004 # -1.6341

Dear R community, I am new to R, a reforming SAS user :) I am running R 2.10.1 on a Windows XP machine. I would like to write linear functions of my coefficient parameter estimates from a glm, but am having a difficult time understanding the parameterization R uses. In the toy example below I am running a glm on binomial data, with clones and lines within clones as fixed effects, each with 6

I have a dataframe that looks like this: > str(chr) 'data.frame': 84 obs. of 7 variables: $ county: Factor w/ 3 levels "Broome","Nassau",..: 3 3 3 3 3 3 3 3 3 3 ... $ item : Factor w/ 28 levels "Access to healthy foods",..: 21 19 20 18 16 3 2 6 17 8 ... $ value : num 8644 15 3.5 3.9 7.7 ... $ low : num 7897 9 2.5 2.6 7 ... $ high : num 9390

Hi all, when i run this script: >read.table("Angelika.txt",header=T,sep="\t") >mytable=read.table("Angelika.txt",header=T,sep="\t") >for ( dye in c("A","B","C","F","G","K","L","M")) + { + for (cond in 1:8) + { + measurement =

Hi all, I am running a Samba 3.0.0-14.3E server on a RedHat Enterprise WS3. Here's the problem: When I am connected from my PC (Windows 2000) and run the MacAffee v4.5.1 virus scanner on the connected share, I see the following in the Samba log file (debug level=2) for what appears to be each file in the share: [2004/07/20 13:02:51, 2] smbd/open.c:open_file(250) sullivan opened file

This is tangentially related to: https://bugzilla.redhat.com/show_bug.cgi?id=1372668 The problem in that bug is that we didn't pass the source CPU model (Sandybridge in that case) through to the target RHV hypervisor. So when the Windows guest booted on the target it gives an error about CPU hardware being disconnected (although it otherwise boots and works fine). This patch series

v2 -> v3: - Lots of code cleanups. - Documentation. However this is still spooling the file into a temporary before the upload. It turns out that fixing this is going to require a small change to qemu. Rich.