similar to: chi square residuals

Dear R-users, I am having trouble constructing nxn matrices involving calculations& conditions based on other tables. Below I describe a simple example of what I am trying to do: Given the Table A (n x m): Species1 Species2 X A1,1 A1,2 Y A2,1 A2,2 Z A3,1 A3,2 I want to create a matrix M (n xn) X Y Z X - M1,2 M1,3 Y M2,1 - M2,3 Z M3,1 M3,2 -

Hello As I'm beginning to write functions, I decided to have my personnal R library named MyStuff located in /home/fred/R.Lib/MyStuff/ The library file itself is at /home/fred/R.Lib/MyStuff/R/MyStuff evrything seems ok since > library() gives : Packages in library `/usr/lib/R/library': KernSmooth Functions for kernel smoothing for Wand &

On Dells running CentOS 6, we could use this command ipmitool delloem lcd set mode userdefined "$(uname -n | sed -e 's/\..*//' )" to set the little LCD screen to display the system name, In the latest sevens, it fails, and gives me usage for the command... which displays exactly that syntax. Anyone have a clue? mark

Dear all, We have got data (response and predictor variables) for each country of the world; I started by fitting standard GLM and tested for spatial correlation using variogram models (geoR) fitted to the residuals of the GLM. Spatial autocorrelation is significant. Therefore, I think about using general estimation equations (geeglm or geese in geepack) allowing for residual spatial

https://bugzilla.netfilter.org/cgi-bin/bugzilla/show_bug.cgi?id=45 laforge@netfilter.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |WONTFIX ------- Additional Comments From

---------------------------- Original Message ---------------------------- Subject: ipmitool and CentOS 7 From: m.roth at 5-cent.us Date: Mon, May 16, 2016 16:57 To: "CentOS" <centos at centos.org> -------------------------------------------------------------------------- On Dells running CentOS 6, we could use this command ipmitool delloem lcd set mode userdefined

Since I'm not sure, if my previous mail was sent correctly, here I'm trying it again. Peter -------- Original-Nachricht -------- Betreff: Re: [Samba] Build 3.2.3a on RedHat 7.2 Datum: Sat, 16 Feb 2002 17:17:56 +0100 Von: Peter H?bschen <pehu@wiwi.uni-sb.de> An: Casper Pedersen <cp@c-note.dk> CC: "samba@lists.samba.org" <samba@lists.samba.org> Referenzen:

Hi dear R users, 1) I would like to know if there is a simple way to define a vglm family which would be a mix of poisson variables and bernoulli variables (0/1 response) for idea this would be invoked like this: vglm(...,family=mixpoissonmultinom(npoisson,n01response)) where the n's give the number of each type of response. 2) and a simpler question : How to use constraints in rrvglm?

Hi, I've been trying to make use of the dendrogram class to plot a tree. However, my attempts have failed so far because I'm not sure how to build up the nested list. (where do I have to store the nodes?). The tree I want to be drawn is like this: in the form (node, left child,right child) (root,(n1,1,(n2,2,3)),4) If it is not easily possible to draw a tree with the help of the

I have the following code (which I did not write) that generates data based on a logistic model.? I'm only getting a single record with y=1.? It seems implausible that in 50k cases that have a single y=1.? Does that ring alarm bells for anyone else? ? beta<-c(-1.585600,-0.246900) betasize<-length(beta) meanpred<-c(0,35.900000) varpred<-c(0,1.000000) #loop code

Does anybody have any experience fitting data to the non-central chi-squared or chi-squared distribution? I am trying to fit some data to this distribution but there is error after error. audaces fortuna iuvat --------------------------------- [[alternative HTML version deleted]]

For the past few years, my group in Intel Labs has been working on a project similar to LLVM and C--, and perhaps our experience in handling roots and stack walking could be useful in deciding how LLVM should evolve in the GC area. Our project is called Pillar (you can see our paper "Pillar: A Parallel Implementation Language" in Languages and Compilers for Parallel Computing 2008 for a

Hi, Please can someone tell me if this is correct for significance tests on count data; 1: If overdispersed, use quasipoisson, drop1(model, test="Chi"), 2: If not overdispersed, use (poisson or quasipoisson), drop1(model, test="Chi"). Thanks for your time, Martin. Martin Hoyle, School of Life and Environmental Sciences, University of Nottingham, University Park, Nottingham,

Hello all, I am doing a Likelihood Ratio (LR) test in my simulation and I have a vector LR values (each with 1 degree of freedom) at the end of my simulation. Can anybody tell me how I can write a 'R' code which gives me the p-value for each of those LR values. Thanks [[alternative HTML version deleted]]

hi all - is there a package or library that contains a function for partitioning the chi-square statistic of an I X J contingency table into its respective independent parts? i looked around for this, but i didn't find anything. perhaps there's another name for this sort of analysis? i know it as "g-squared". thanks, chris. [[alternative HTML version deleted]]

Dear all, sorry to bother you but I was looking for the "scale Inverse Chi square distribution" and I could not find it! If I remember well , when X~Scale-Inv-Chi-Square (a,b) then X~Inv-Gamma(a/2,a*b/2) but with the shape, scale and rate parameters I always get confused! Any suggestions? Thanks a lot for your prompt reply. Best regards, Giorgio Di Gessa

I am trying to compute the periodicity of a time series. I would like to know which function in R does it. Also, how do I plot a Enright / Chi-square periodogram using R ? ( Enright, J.T., 1965, Journal of Theoret. Biol. 8,426-468) Greatly appreciate your help. Thanks in advance, Sukhaswami Malladi *************************************************************************** The contents

Dear all, I have a question regarding performing test if the data fits chi-squared distribution. For example, using ks.test() I found in the examples how to fit it to gamma or weibull x<-rnorm(100) ks.test(x, "pweibull", shape=2,scale=1) for the gamma, pgamma can be used But I cannot find the value of this second parameter for the chi-squared distribution. Maybe someone

Dear all, I have a problem that I could not solve neither with spss nor with R. Please, excuse me if it is atrivial question but I did not find any soultion. I have the followig practical problem: we a product that has A, B, C effects (we differentiated about 30) on health and we want to know whether these effects are associated with its physical properties

I am looking for an R package with which one can calculate an effect size for a set of contrasts given an omnibus chi-square test statistic (more than 1 degree of freedom). Is there such a package? Presumably, it would implement the procedure (or something like it) described by Roznow and Rosenthal 1996 Psychological Methods 1: 331-340. many thanks! Steven Orzack Fresh Pond Research Institute