similar to: Is the random number generator biased?

Hi all, a problem I encounter again and again: I plot a zoo object using "plot" and then want to add lines or points to this plot. I usually circumvent this problem by adding artificial coloumns to the zoo object before plotting, but I am sure there's a better solution. To be specific: Assume I did x <-

Sorry, if this question is rather basic, but being a newbie I still have problems to think in the "R way". My problem is as follows: - I have a data frame X with stock prices X$Price and corresponding dates X$Date. - Now I want to get for each date x in X$Date the index z, such that z = min (a | X$Date(a)>x and X$Price(a)>Price(x) To put it simple, I am looking for the

Hi all, as I am trying to move slowly from just "working" to "good" code, I'd like to ask if there's a smarter way than using a for-loop in tasks like the example below. I need to obtain the extrema of the cumulated sum of a detrended time series. The following code is currently used, please have a look at the comments for my questions and remarks: system.time({ X

Hi all I am beginning in asterisk and am making tests with an ata-186. For the time being the tests are going well, however have a doubt. I am thinking about using a canal e1 with plate digium. Assuming that the company of telecommunications supplies e1 with 30 canals and numeration to me 4000-0001 4000-0029. she is possible to configure asterisk in way that somebody of is dials 4000-0025, to

Hallo, my noisy time series represent a fading signal comprising of long enough parts with a simple trend inside of each such a part. Transition from one part into another is always a non-smooth and very sharp/acute. In other words I have a piecewise polynomial noisy curve asymptotically converging to the biased constant, points between pieces are non-differentiable. I am looking for

Hi, My name is Tom Faulhaber. I am the network administrator at a small company in Providence,RI. I am running Samba 2.2.2 on a Redhat 6.1 machine on a Novell 4.21 network. The workstations are Win98SE. The Linux box is being used for the company intranet (Apache 1.3.22). Everything runs fine, however I am completely stumped on one issue (so far). That issue is: network connectivity. If I

Hi, Am I interpreting the results properly? Are my conclusions correct? > KPSS.test(df) ---- ---- KPSS test ---- ---- Null hypotheses: Level stationarity and stationarity around a linear trend. Alternative hypothesis: Unit root. ---- Statistic for the null hypothesis of level stationarity: 1.089 Critical values: 0.10 0.05 0.025 0.01 0.347 0.463

On Thursday 12 July 2007 07:23, Torvald Riegel wrote: > > The single instruction constraints can, at their most flexible, constrain > > any set of possible pairings of loads from memory and stores to memory > > I'm not sure about this, but can we get issues due to "special" kinds of > data transfers (such as vector stuff, DMA, ...?). Memcpy implementations >

I have been trying to simulate from a time series with trend but I don't see how to include the trend in the arima.sim() call. The following code illustrates the problem: # Begin demonstration program x <- c(0.168766559, 0.186874000, 0.156710548, 0.151809531, 0.144638812, 0.142106888, 0.140961714, 0.134054659, 0.138722419, 0.134037018, 0.122829846, 0.120188714,

Greetings, I am interested in using a generalized linear mixed model with data that best fits a beta distribution (i.e., the data is bounded between 0 and 1 but is not binomial). I noticed that the beta distribution is not listed as an option in the "family objects" for glmmPQL or lmer. I found a thread on this listserve from 2006 ("[R] lmer and a response that is a

Lucene, and perhaps most search engines, are biased towards small fields with little content (where thus the term frequency is higher). Lucene has the option to define a custom (Similarity) class to calculate the similarity between two fields (custom calculation of lengthNorm and tf) in different documents. But how do I do this in ferret? (I know to boost a field, but this is not what I

Dear all, i am doing linear regression with robust error to know the effect of a (x) variable on (y)other if i execute the command i found positive trend. But if i check the effect of number of (x.x1,x2,x3)variables on same (y)variable then the positive effect shwon by x variable turns to negative. so plz help me in this situation. Barjesh Kochar Research scholar

Hello, supposing that I have two or three clear categories for my data, lets say pet preferece across fish, cat, dog. Lets say most people rate their preference as being mostly one of the categories. I want to do pca on the data to see three 'groups' of people, one group for fish, one for cat and one for dog. I would like to see the odd person who likes both or all three in the

Hi all, I would like to estimate power and necessary sample size for a GLM with a response variable that has a poisson distribution. Do you have any suggestions for how I can do this in R? Thank you for your help. Sincerely, Craig -- Craig A. Faulhaber Department of Forest, Range, and Wildlife Sciences Utah State University 5230 Old Main Hill Logan, UT 84322 (435)797-3892

All, I'm curious to know if anyone is interested in tracking performance (compile-time and/or execution-time) from a community perspective? This is a much loftier goal then just supporting build bots. If so, I'd be happy to propose a BOF at the upcoming Dev Meeting. Chad

Hi all, Been using Cacti for monitoring various things like, system disk/mem/ proc, network usage, router usage etc... While its been fun, the graphs are just unruly. Was looking an OpsView (the free version), wondering what your experience with this type of trend/heuristic analysis has been and what what you like. And of course thoughts on OpsView. - aurf

I had samba working on an old Sun Enterprise server using a JBOD that was managed with veritas volume manager (legacy stuff that had long outlived it's usefulness). Management arbitrarily decided to replace the aging Solaris server with a native Windows server without talking to me. I instead tried to persuade them to use an SGI cluster I had been putting together and use newer features of

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

Dan Nordlund wrote: "It would be necessary to see the code for your 'brief test' before anyone could meaningfully comment on your results. But your results for a single test could have been a valid "random" result." I've re-created what I did below. The problem appears to be with the weighting process: the unweighted sample came out much closer to the actual

A new package named BiasedUrn is available. This package implements various noncentral hypergeometric distributions, univariate and multivariate. Includes the distribution you get when taking colored balls from an urn without replacement, with bias. These distributions have many applications in models of biased sampling and models of evolution by natural selection. The multivariate