search for: mesurment

Dear professors and collegues I need to perform a analysis of dates from a nested experimental design. From "Bioestatical Analysis" of Zar "Bimetry of Sokal" & Rohlf "Design and Analysis of Experiments" of Montgomery I have: Sum (mean(x)_i - mean(x)_T)2 / (a-1) -> var(epsilon) + n sigma2_B + n b (sum alfa_i)2 / (a-1) Sum (mean(x)_ij - mean(x)_i)2 /

Hello , Is there any function to mesurate the duration of a procedure (like tic and toc in matlab) ? Tic Source("procedure.R") Toc (toc is the duration between the execution of tic and the execution of toc) Thank you nicolas [[alternative HTML version deleted]]

Hello, I'm looking for a way of mesuring the adequation of a given variable with the normal distribution. Does R provide a standard test for this purpose, or is there a statistical methodology? Best, Sylvain Loiseau

Excuse me. I don't understant how to use the function "stack". I'm not sure to know the good syntax. I've got a data witch column names are the time when the mesures was done and an other who indicates the age of the subjetcs. I would like to do a new matrix with patients older than a value and the new matrix will contain in the first column the time of the mesures and in

So in fact : I have a data wich colnames are : "id","VEMS5A","VEMS6A","VEMS7A","VEMS8A","VEMS9A","VEMS10A","VEMS11A","VEMS12A","VEMS13A","VEMS14A","VEMS15A","VEMS16A","VEMS17A","VEMS18A","cohort") With "VEMS5A" is the value when

I have to study censured datas concernig the occurence of infection at the point of insertion of catheter in patients with renal disease. Catheter may be removed for ather reasons than infection, in this case, the observation is censored. Each has exactly 2 observations. The question are the pronostic factors of infection (the other variables are; age, sex, type of renal disease...). Could you

I made an ANOVA with repeated mesures (aov(Mesure~Distance*Genre*Correct+Error(Sujet/(Distance*Genre*Correct)), data)) and I would like to extract the pvalues. The output is: ----------------------------------------------------------- Error: Sujet Df Sum Sq Mean Sq F value Pr(>F) Residuals 21 97.082 4.623 Error: Sujet:Distance Df Sum Sq Mean Sq F value Pr(>F) Distance

Bonjour, Quelqu'un pourrait m'aider avec le code R pour estimer les mod?les ? ?quations structurelles via l'approche PLS,int?grer des variables mod?ratrices et m?diatrices et afficher les graphique simultan? des mod?les interne et de mesure? Cdt. [[alternative HTML version deleted]]

Hello, I'm trying to analyse data from an incomplete design with four factor : - fr : number of the batch - op : ID of operator - meth : method used - mat : nature of the material used and one variable - mv : mesure - trmv : transformed mesure str(matvol) `data.frame': 120 obs. of 6 variables: $ fr : Factor w/ 30 levels "1","2","3","4",..:

Does anyone know where i can find out how powerful a machine has to be to handle a certain amount of call volume? Eg, 2Ghz is enough processing power to maintain 100 calls at a time. 4Ghz is engouh to process 250 calls etc etc. Thanks Dan -------------- next part -------------- An HTML attachment was scrubbed... URL:

>On Nov 20, 2015, at 12:17 PM, R?bert SZAKSZ <robert at szaksz.eu> wrote: >> >> No progress has been made: >> >> cable is UPS - PC >> 6 - 3 >> 7 - 5 >> 9 - 2 >> > >Maybe pins 4 and 7 (ground) both need to be connected on the UPS side? I connected both to pin 5 >Unfortunately, I don't think there is a safe way (in software)

hi everybody, I'm a student, and I'm new using R! I'm looking for statistical help hoping somebody can answer me! This is my problem: I have 2 temporal series. The firstone is a series of mesured data (height of monitorated points), the second is a series of temperature (in Celsius degree). Using Matlab I have built the two graphs (Measured Data - Time & Temperature -

Dear useRs We have a data-set (comma delimited) with 12Millions of rows, and 5 columns (in fact many more, but we need only 4 of them): id, factor 'a' (5 levels), factor 'b' (15 levels), date-stamp, numeric measurement. We run R on suse-linux 9.1 with 2GB RAM, (and a 3.5GB swap file). on average we have 30 obs. per id. We want to aggregate (eg. sum of the measuresments under

Greetings, I'm posting this OT query here because of out very international membership! In the French sentence "Les taux de tirage sont calcul??s de mani??re ?? ce que la dispersion soit inf??rieure ?? 5 % dans chaque strate." it would seem intended that the "dispersion" is to be calculated in a specific way (unstated) -- otherwise, how to ensure that it shall be

Dear R user group, I'm looking for a robust mesure of correlation in R. I found a very interesting article by Dr Rich Herrington on http://www.unt.edu/benchmarks/archives/2001/december01/rss.htm and I'd like to implement exaclty this method but my problem is that everything is here developped in R language and is very slow when the correlation matrix is important. I'm wondering if

- Peut-on poser des questions en fran?ais? - Tr?s simple. Je fais un programme "truc.r" (sous emacs) Ce programme r?alise des graphiques. Je voudrais les enregistrer au fur et ? mesure -- sinon, quand la session est finie, ces graphiques sont perdus-- J'ai essay?: pdf("truc.pdf") Mais le fichier "truc.pdf" cr?? est vide. Comment fait-on? Merci et salutations

Dear R-users, We expect to create N homogenic groups of n features from an experimentation including N*n mesures. The aim of this is to prevent from group effects. How to do that with R functionalities. Does anyone know any methodes enabling this ? Best regards. Alexandre MENICACCI Bioinformatics - FOURNIER PHARMA 50, rue de Dijon - 21121 Daix - FRANCE a.menicacci at fr.fournierpharma.com t??l

Hi. Samba 1.9.15p8 under IRIX 6.1 (yes I know, it's old stuff ...) The susers on Windows 9x/WindowsNT just put their strange file name or directory name (like /usr/people/mesure_?t? ) on the IRIX. However, from the IRIX side, it's impossible toaccess to such files/directory. What's more, my ARkeia backup client stalls on such a name and fouled up my backup database... NB: Oops: for

Hello R-List I use DClusters package (I work in a cancer regestry). I have 2 questions about it: 1-how is it possible to get back the bootstrap pValue? I mean the pValue of the calculated statistic with respect of the distribution of this statistic under the null hypothesis. 2-how is it possible to test an overdispersion in the poisson model? for choosing a best model I need this mesure of

Dear R-users, We expect to form N homogeneous groups of n features from an experimentation including N*n data. The aim is to prevent group effects. How to do that with R functionalitites ? Does anyone know any way enabling this ? Example : 100 patients are observed. 3 biochemical parameters are mesured for each one (Red and white globules ans glycemia). Patient RG RW