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Hi STATISTICA has a function called "Two-way joining" (see http://www.statsoft.com/TEXTBOOK/stcluan.html#twotwo) and the reference material states that this is based on the method as published by Hartigan (found this paper: http://www.jstor.org/pss/2284710 through wikipedia). What is the relationship (if any) between the "heatmap" function in R and this technique? Is there an alternative function to use? Thanks for the help! Schalk Heunis

R-Experts: Does anyone know if there are R functions to perform the Freeman-Tukey double arcsine transformation and then backtransform it? Thanks, Brant Inman Mayo Clinic

...;s Tau in R is O(N^2). The following reference describes how it can be done in O(N log N): A Computer Method for Calculating Kendall's Tau with Ungrouped Data William R. Knight Journal of the American Statistical Association, Vol. 61, No. 314, Part 1 (Jun., 1966), pp. 436-439 http://www.jstor.org/pss/2282833 I'm interested in contributing an implementation of this algorithm to R. However, I have a few questions: 1. Would it likely be accepted if well-implemented? 2. cov.c in the main/ directory of the R source tree seems to contain at least 4 different but nearly identical im...

I found this paper on ANOVA on unequal error variance. Has this be incorporated to any R package? Is there any textbook that discuss the problem of ANOVA on unequal error variance in general? http://www.jstor.org/stable/2532947?cookieSet=1

...has to be said that this is based on an algorithm published in 1981, specifically - from help(r2dtable) - Patefield, W. M. (1981) Algorithm AS159. An efficient method of generating r x c tables with given row and column totals. _Applied Statistics_ *30*, 91-97. For those with JSTOR access (typically via your University), available at http://www.jstor.org/stable/2346669 When I start reading it, indeed the algorithm seems start from the expected value of a cell entry and then "explore from there"... and I do wonder if there is not a flaw somewhere in the algorithm...

Hello everyone, I will like to know if there is an R package to compute exact confidence intervals for the ratio of two binomial proportions. Tony. [[alternative HTML version deleted]]

...ng list. (The r-packages list moderator suggested using the R-help list.) My question is about the "chickwts" data in the datasets package. According to help(chickwts), the source of the data is ?Anonymous (1948) Biometrika, 35, 214. But this reference seems irrelevant. (See http://www.jstor.org/stable/i315414.) The help document also gives "McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley" as a reference, but unfortunately my local library does not keep the book. Could someone please help me find the correct source of the data? Many thanks. Chirok

Hi all, Is there any code to run fixed effects Tobit models in the style of Honore (1992) in R? (The original Honore article is here: http://www.jstor.org/sici?sici=0012-9682%28199205%2960%3A3%3C533%3ATLALSE%3E2.0.CO%3B2-2) Cheers David [[alternative HTML version deleted]]

...w is the simple Rcode , I used before complicating myself. But the prediction resulted in classifying absolute 0 and 1, even though I have asked results in integer value(#round()). - In section 6.2 of neural network and related method for classification, by B.D. Ripley<http://www.jstor.org/stable/2346118?origin=JSTOR-pdf>it is specified as below. [image: Inline image 9] I tried to transfer my data in the range [0,1] before feeding them to ‘nnet’. But it does not seemed to improve my result. - I would like to know, on specifying size of the hidden layer and d...

...ate wilcox tests for paired samples. In my current literature search I've found a few papers on sample size determination for the wilcox test notably: Sample Size Determination for Some Common Nonparametric Tests Gottfried E. Noether Journal of the American Statistical Association http://www.jstor.org.pitt.idm.oclc.org/stable/2289477 My question is: are there any implementations of power calculations for the wilcox test in R based either on Noether's methods for sample size or another method? Thanks, Collin.

..., especially since the analysis is exploratory in nature and I expect that many of the xi will have no significant impact on y. Is there a R library that can handle such a setting? I have read about "Hierarchical Bayesian variance components models" that have been used with ZIP data (www.jstor.org/stable/10.2307/4129723), but I'm not sure to which extent there is a function in R to do that in a straightforward manner. Thanks, Michael [[alternative HTML version deleted]]

Hi, i'm newbie for this, but it's very interesting, but how i have to interpret the results if i get i.e. this results ? Is it correct - if the "Ratio of effect sd" is positiv than the Numerator effects are bigger , and the negative case vice-versa ? Ratio of effect standard deviations: 0.954 Log(sd ratio): -0.047 (se 0.828) Approximate 95% confidence

...has to be said that this is based on an algorithm published in 1981, specifically - from help(r2dtable) - Patefield, W. M. (1981) Algorithm AS159. An efficient method of generating r x c tables with given row and column totals. _Applied Statistics_ *30*, 91-97. For those with JSTOR access (typically via your University), available at http://www.jstor.org/stable/2346669 When I start reading it, indeed the algorithm seems start from the expected value of a cell entry and then "explore from there"... and I do wonder if there is not a flaw somewhere in the algorithm...

Hello, While doing some enrichment tests using chisq.test() with simulated p-values, I noticed some strange behaviour. The computed p-value was extremely small, so I decided to dig a little deeper and debug chisq.test(). I noticed then that the simulated statistics returned by the following call tmp <- .Call(C_chisq_sim, sr, sc, B, E) were all the same, very small numbers. This, at first,

...sed for computation by the packages is very rarely indicated in the output or documented in the help facility and the manuals. See also this link (I?ve found after a long meandering on the web) about the comparison of ?wilcoxon mann whitney? u test outcomes from different stat packages: http://www.jstor.org/discover/10.2307/2685616?uid=3738296&uid=2129&uid=2&uid=70&uid=4&sid=47699045750617 Any of you have faced the same type of issues? Or am I completely wrong? maxbre -- View this message in context: http://r.789695.n4.nabble.com/Wilcoxon-Mann-Whitney-U-value-outcomes-from-...

Hallo everyone, excuse me if this is not a genuine R question but I do not know where to ask else. Referring to e.g. https://stat.ethz.ch/pipermail/r-help/2004-December/062114.html I wonder if these measurements of 3000 criminals (raw data) are available anywhere. At least I didn't find them in the R datasets package or by means of Google. What I did find was a table of frequencies of

...sed on an algorithm published > in 1981, specifically - from help(r2dtable) - > > Patefield, W. M. (1981) Algorithm AS159. An efficient method of > generating r x c tables with given row and column totals. > _Applied Statistics_ *30*, 91-97. > > For those with JSTOR access (typically via your University), > available at http://www.jstor.org/stable/2346669 > > When I start reading it, indeed the algorithm seems start from the > expected value of a cell entry and then "explore from there"... > and I do wonder if there is not a flaw so...

Hi, I am trying to replicate Lambert (1992)'s simulation with zero-inflated Poisson models. The citation is here: @article{lambert1992zero, Author = {Lambert, D.}, Journal = {Technometrics}, Pages = {1--14}, Publisher = {JSTOR}, Title = {Zero-inflated {P}oisson regression, with an application to defects in manufacturing}, Year = {1992}} Specifically I am trying to recreate Table 2. But my estimates for Gamma are not working out. Any ideas why? Please cc me on a reply! Thanks, Chris ## ZIP simulations based on Lambert (...

Mara Averick noticed some oddities in the mtcars data set: https://twitter.com/dataandme/status/1033341784959709184 I propose the following patch. While anyone with access to JSTOR could dig in and find this information themselves, it would seem a friendly gesture to include it ... cheers Ben Bolker =================================================================== --- mtcars.Rd (revision 75186) +++ mtcars.Rd (working copy) @@ -35,6 +35,14 @@ Building multiple reg...

...; namely, X[1:10] ~ iid normal, then cor(X[1:9], X[2:10]) and cor(sample(X[-1]), sample(X[-10])) should have the same distribution. This is not at all obvious, and in fact not true. Please check the reference you have been pointed to. Here is a related article in the same volume: https://www.jstor.org/stable/2332719 -Deepayan > Which is not the case. rnorm(N,0,1) should draw INDEPENDENT samples i.e. > without time series structure ! > > > -- > - no title specified > > Hugo Math?-Hubert > > ATER > > Laboratoire Interdisciplinaire des Environnements Conti...