similar to: Lacunarity in R

Hello R-help, Does anyone know if the sliding-box lacunarity analysis of Allain & Cloitre [1] / Plotnick et al. [2] has been implemented by anyone in R? I've come up blank on searches of help files, mailing lists and from googling r-project.org. Thanks in advance, Rich [1] C. Allain and M. Cloitre, 1991. Phys. Rev. A 44, p. 3552. [2] RE Plotnick, RH Gardner, WW Hargrove, K

Hello R helpers, I am quite new as a R user, and even more on a Mac Os. I am running R under Emacs 21.3.30.5 through ESS. I have some problems with the pdf() device : when sent to it, plots don't come out with any labels, titles or whatever written. I don't have that problem when plots are sent to X11 or postscript devices. As pdf is the native format on Mac Os X, i find it sad to

That's probably a stupid question, but I'm looking for a low-level command which plots ellipse, specifying only center and deformation axes. The purpose is to illustrate bivariates gaussians with 2D .95 confident levels without using any specific library. Thanxs for your help, Guillaume

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder if you can give me some instruction.

p { margin-bottom: 0.08in; } Dear All, I will appreciate some suggestions of R packages for "ESTIMATION OF THE EXPONENT OF POWER-LAW FREQUENCY DISTRIBUTIONS". I have been searching at the R-help list several keywords for this subject and I did not find a very specific package, except the useful normalp package. I believe there are others but I was not able to identify it. I have

In principle, will Xen handle virtualization of Fibre Channel HBA''s? Say I have a physical server with a single FC HBA installed. If I create two domains, will XEN virtualize the HBA so that both of the domains can talk to the FC fabric? -M. _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Dear all I tried to find some packages (or programs) for image analysis and especially fractal dimension image analysis but so far I had not success. It shall be used for particle surface layer analysis from TEM images. Any suggestions? Best regards Petr

Hi, i'm looking to update some SRV DNS Record , but i didn't find the correct syntax to handle priority, weight and port. The goal is to higher the priority of one of my different DCs. Thanks for your help Alain

Hello. I''m new to this list. I''m trying to set up multicast routing between two networks: Internet ^ | Windows box | | UserModeLinux A <-----> Colinux Router <-----> UserModeLinux B

Hey Guys, i want to do a CAPM-GARCH model. I didn?t find anything posted online. (If there is something - shame on me - i didn?t find it.) My Problem: What is the difference if I let the residuals ?e? follow a garch process ? How do I do my regression analysis now? I began reading about regression analyis with heteroscedasticity, but didn?t get it. So i started programming. First

Hello Alexander I doubt that such an analyis is very useful as the data is not sampled synchronously (equity close in the US for ^gspc and even that is not always at the same time, some average price from Oanda data). Also fx data from others sources as suggested in another mail on this list would not really help with this unless it is really sampled at exactly the same times as the equity

Hello, I'm trying to do some correspondence analyis, with R, of course (by correspondence analysis, I'm refering to JP Benz?cri's methods, in case there might be some other thing with a similar name) I've found a couple of tools refering to C.A in the existing packages : ca() in package multiv and corresp()/mca() in MASS. MASS tools look more easy to use (it is supposed to put

I previously asked a question about performing archetypal analyis in R. In addition to the responses I received from r-help, the author sent me some S code to peform the analysis. With the author's permission, I ported the S code to R using two excellent sets of instructions: (1) From the FAQ - 5.5 How can I create an R package? (2) Thomas Lumley's instructions on porting S to R -

[ I'm teaching log-linear models at present, and looking at Agresti's book. ] Often when producing analyis of variance or analysis of deviance tables it is important to get effects fitted in a specific order. At present in S / R this is done as follows: anova( glm( terms(formula, keep.order=T), ...) ) Can anyone think of a reason why keep.order should not become an argument to

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

Dear all, I have a dataframe with multiple observations and the levels as the last column, as in: d <- data.frame(A=sample(1:100,12),B=sample(1:100,12),levels=c(rep('A',4),rep('B',4),rep('C',4))) > d A B levels 1 77 40 A 2 14 18 A 3 56 7 A 4 46 27 A 5 63 35 B 6 80 21 B 7 3 54 B 8 93 76 B 9 5 46 C 10 16 53

Dear R users I am new R user, execuse me I bother you, but I worked hard to find a solution: # data ID <- c(1:100) set.seed(21) y <- rnorm(100, 10,2) x1 <- rnorm(100, 10,2) x2 <- rnorm(100, 10,2) x3 <- rnorm(100, 10,2) x4 <- rnorm(100, 10,2) x5 <- rnorm(100, 10,2) x6 <- rnorm(100, 10,2) mydf <- data.frame(ID,y, x1,x2, x3, x4, x5, x6) # just seperate analyis

Hi all, I am having memory allocation problem with my R 2.2.1 for Mac OS. The following is the error message that I get. I do not get this message if I break down the large dataset in to sub datasets. I think breaking up the dataset is not a sustainable solution in the long run. The data that I am analysing is essentially big, and it would be reasonable to do the analyis on the whole dataset

Adding Maxim On Apr 9, 2018, at 10:06 AM, Sam Parker via llvm-dev <llvm-dev at lists.llvm.org<mailto:llvm-dev at lists.llvm.org>> wrote: Hi, extractRangeChecksFromBranch uses BranchProbabilityInfo to decide whether its worth trying the InductiveRangeCheckElimination transformation. For the following example: void split() { for (int i = 0; i < 100; ++i) { if (i < 99)