similar to: R: sim1000G

Hi Berina, I'm not an expert on genetics. I haven't looked at the package. And I've only glanced at your question. So, this is probably not the best response. But as no one else has responded, here's some comments: (1) Have you checked if there's a function in the package to do what you want? The remainder of these questions assume that you have, and the answer is no. (2)

Check out the proposed prices when this is approved. BELL CANADA REPORT ON THE ECONOMIC EVALUATION FOR THE TARIFF REVISION OF Bell Canada's Access Services Tariff Item 315 ? Zero-Dialed Emergency Call Routing Service (0-ECRS) *2 March 2006 TABLE OF CONTENTS Page 1.0 GENERAL 3 1.1 Purpose of the Study 3 2.0 SERVICE DESCRIPTION 3 2.1 Service Characteristics 3 2.2

> > After running a MANOVA test, I used univariate Fs in order to see > which IV(s) was contributing the difference. > However, I have been critised about it, > and the reason I was given is: > > "MANOVA allows you to explore multiple associations but > does not excuse you from tracing out the causal relationships > for each variable. This does

Fully up-to-date CentOS 5.2 and Firefox browser. A previous thread had a problem with plugins disappearing. I've discovered, by accident, a causal relationship. Running a Thunderbird mail client (could happen with others? Haven't tested with Evolution yet.) I click a link that opens the browser. BANG! The plugins.dat is "emptied". Restored from my rsync backup, repeat, BANG!

Dear R-list, i have 6 different sets of samples. Each sample has about 5000 observations, with each observation comprised of 150 baseline covariates (X), 125 of which are dichotomous. Roughly 20% of the observations in each sample are "treatment" and the rest are "control" units. i am doing propensity score matching, i have already estimated propensity scores(predicted

Hey all, I encountered a problem drawing a histogram. You can view the picture here: http://dl.dropbox.com/u/4836866/Bad_Histogramm.png What happens: the bars are drawn with different starting points, thus no straight zero-line is there. And bars are overlapping. (or sometimes apart from each other.) How it happens: hist(volcano, breaks=10) # and any other data This also happens with

Does anyone know of a package that includes the Modified Sims test [Gewerke, 1983, Sims, 1972]? This test is used in econometrics and is a kind of alternative to the Granger test [Granger, 1969], which is in the package lmtest. Thanks in advance, chris Refernces: Gewerke, J., R. Meese, and W. Dent (1983), "Comparing Alternative Tests of Causality in Temporal Systems: Analytic Results and

Hello, I've run into a problem which is both maddening and rather hard to replicate, therefore I wondered if someone might know of a plausible explanation for it. I couldn't find anything in the archives, though maybe I'm searching for the wrong thing. I'm calling some C code using .C, and get the vector I'm interested in back as the 7th location in the returned list.

Dear all, I am using the Instrumental Variable approach to estimate the causal effects of TWO endogenous variables in a Mendelian Randomization study. As long as point estimation is concerned, I have no problem: both "ivreg" in library "AER" and "tsls" in library "sem" do the job perfectly. The problems begin when I try to obtain confidence intervals for

SELECTION FOR CONSULTANTS BY THE WORLD BANK REQUEST FOR EXPRESSIONS OF INTEREST All Submissions must be made via the World Bank Group's "eConsult2" system. Please go to: https://wbgeconsult2.worldbank.org/wbgec/index.html Click on "Business Opportunities", and find the following assignment: Assignment Title: 1067014 - Statistical Analyst with Extensive Experience in

Ilija Barukcic, Jever, Germany. GMT + 1h. Barukcic at t-online.de Hallo, you are receiving this message from me as someone who potentially has bought the first Edition of my book Causality. New statistical methods. ISBN 3 - 8 3 3 4 - 3 6 4 5 - X. Your email address was obtained either through my friends, your publication, a colleague or via correspondence with you. I am pleased to

R-users, I have been using R for about 1 year, and I have run across a couple of graphics problem that I am not quite sure how to address. I have read up on the email threads regarding the differences between density and relative frequencies (count/sum(count) on the R list, and I am hoping that someone could provide me with some advice/comments concerning my approach. I will admit

I have a semantics question, I am reading Bowerman and O'Connell and they state that forecasting models fall into two categories, univariate and causal. My question is whether a time series regression model that relates the time series of interest to functions of time such as the day of the week or month of the year could be considered a causal model? thanks, spencer [[alternative HTML

To anyone who uses the Match() function in the Matching library... How do you go about deciding how many matches you will use? With my data, my standard errors generally get smaller if I use more matches. Speaking of standard errors, when correcting for heteroscedasticity, how many matches do you use (this is the Var.cal option). It seems to me that it might make sense to use the same number

Hi Mark, Uhm... sometimes this is not always possible. For example I have a package QCA which produces truth tables (all combinations of presence / absence of causal conditions), and it uses the venn package to draw a Venn diagram. It is debatable if one should assimilate the "venn" package into the QCA package (other people might want Venn diagrams but not necessarily the other QCA

Dear All, I would like to find something ( references, code,..) to implement a comparison of three treatments in an observational study using the 'Propensity Score'. Any help is much appreciated. Thanks! Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated