similar to: how to constrast with factorial experiment

Hello, R experts, If I understand Ted's anwser correctly, then I can not contrast the mean yields between sections 1-8 and 9-11 under "Trt" but I can contrast mean yields for sections 1-3 and 6-11 because there exists significant interaction between two factors (Trt:section4, Trt:section5). Could I use the commands below to test the difference between sections 1-3 and 6-11 ?

Hello. I'm a new user of R, and I have a question regarding the use of aov and lm-functions. I'm doing a fractional factorial experiment at our production site, and I need to familiarize myself with the analysis before I conduct the experiment. I've been working my way through the examples provided at http://www.itl.nist.gov/div898/handbook/pri/section4/pri472.htm

Hi, I'm interested in experimental design and data analysis on mixtures, like cake recipes where the sum of the components is fixed; e.g. <http://www.itl.nist.gov/div898/handbook/pri/section5/pri54.htm>. I can't believe that R doesn't have facilities to design and analyse such experiments, but I haven't been able to find them (I have looked quite hard!). Can anyone point

I''m trying to expand on a blog tutorial and one thing I can''t figure out is how to use anchors within pages. For example say I have sections on a page with anchors like <a name=section1"</a> through <a name=section6"</a>. Using older non-rails methods I would construct urls that contains the pound symbol and anchor name in the url such as

I''m trying to learn rails as I go along, and having a bit of trouble. There is an undefined method cropping that I don''t know why rails thinks should be there. Firstly, I''m using rails 3, ruby 1.9.2 I have a controller with an index action This part works fine, but i am trying to add a comment form to the page that is rendered by that index action. Supposing my

Hola a todos: Estoy intentado realizar un modelo senoidal de unos datos de radiación solar con el fin de afrontar el relleno de la serie y aplicar la prueba de Thom para verificar su homogeneidad [0]. De momento me encuentro con los siguientes problemas: 1- ¿Existe la prueba de Thom en R? ¿O debo crearme mi propia función? 2- Para la realización del modelo senoidal estoy siguiendo los pasos

Evidently my RSeek capabilities have once again failed me...By any chance is Scheffe's method (http://www.itl.nist.gov/div898/handbook/prc/section4/prc472.htm) implemented independently in any R base packages? If not, is it implemented independently in any of the add-on packages? Thanks again for any insights.

Thanks to Rolph Turner and Jason Turner ... I guess I was too excited about getting back on the list after an absense of several years ... I'll be a little more thoughtful about the problem before posting next time, and a little less trigger-happy with the "Send" e-mail button. Never-the-less, much appreciated. - Mohamed -----Original Message----- From: Rolf Turner

Greetings R-help! I'm fairly new to R and am trying to expand my knowledge beyond using R for simple summary statistics and basic tests. To that end I am attempting to write an interactive R-script that will perform a general rational function fit to a given dataset based on the example given at http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd64.htm. The problem that I seem to have

>-----Original Message----- >From: Robin Getz [mailto:rgetz@blackfin.uclinux.org] >Sent: Tuesday, June 19, 2007 9:35 PM > > >On Tue 19 Jun 2007 13:00, Michael Shatz pondered: >> Robin Getz wrote: >> >I never met any hardware that gcc could not run code on. toolchains have >> >nothing do with embedded OSes. >> >> That's true. Add some

How can I make sure the residual signal, after subtracting the trend extracted through some technique, is actually trend-free ? I would greatly appreciate any suggestion about some Stationarity tests. I'd like to make sure I have got the difference between ACF and PACF right. In the following I am citing some definitions. I would appreciate your thoughts. ACF(k) estimates the correlation

Hello, I've noticed that all contrast functions, like contr.treatment, contr.poly, etc., take a logical argument called 'contrasts'. The default is TRUE, in which case they do their normal thing of returning a n x n-1 matrix whose columns are linearly-independent of the intercept. If contrasts=FALSE, they instead return an n x n matrix with full rank (usually the identity matrix,

-----Original Message----- From: Robin Getz [mailto:rgetz@blackfin.uclinux.org] Sent: Saturday, June 16, 2007 12:11 AM To: Michael Shatz Cc: speex-dev@xiph.org Subject: Re: [Speex-dev] Blackfin inline assembler and VisualDSP++ toolchain >On Wed 13 Jun 2007 12:37, Michael Shatz pondered: >> >> Hi Jean-Marc >> >> I'm trying to integrate your speex codec on our

On 2008-10-01 17:36, Duncan Sands wrote: >> It builds here (Linux x86_64), I use the following configure line: >> ../llvm-gcc4.2/configure >> --prefix=/home/edwin/llvm-svn/obj42/../install --program-prefix=llvm- >> --enable-llvm=/home/edwin/llvm-svn/llvm/ --disable-multilib >> --enable-checking=release --enable-languages=c,c++ >> > > I'm using

> It builds here (Linux x86_64), I use the following configure line: > ../llvm-gcc4.2/configure > --prefix=/home/edwin/llvm-svn/obj42/../install --program-prefix=llvm- > --enable-llvm=/home/edwin/llvm-svn/llvm/ --disable-multilib > --enable-checking=release --enable-languages=c,c++ I'm using (x86-64 linux, gcc 4.3) ../gcc-4.2.llvm/configure --prefix=/usr/local/gnat-llvm

> This means that I don't have a working llvm-gcc with TOT either. I get the same thing on x86-32. Ciao, Duncan.

On 2008-10-01 18:55, Duncan Sands wrote: >> This means that I don't have a working llvm-gcc with TOT either. >> > > I get the same thing on x86-32. > > Ciao, > > Duncan. > HAVE_STDLIB_H is not defined, which causes a 'char* malloc()' definition in cplus-dem.c. >From config.log: configure:8421: checking for stdlib.h configure:8461: result:

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934

It's been a while since I've used CentOS. I'm doing a test install for a server setup. I unchecked desktop and checked server. What does server give me?