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How can I pass something to set_table_name so that I can switch tables on the fly for accessing archive data? If I could access sessions inside a model I would do something like: if @session[:current_period] set_table_name "statistics_" + @session[:archive_year] else set_table_name "statistics_" + Date.now.year end But since I cannot access the session from within a model how do I tell the model to archive data which is held in a different table eg. "statistics_2005" ? Many thanks, K. -- Posted...

...bbreviating? 3. How much should I worry about it? 4. What can I do? I have looked at the documentation plus M<c3><a4>chler M. and B<c3><bc>hlmann P. (2004) Variable Length Markov Chains: Methodology, Computing, and Software. _J. Computational and Graphical Statistics_ *2*, 435-455. Thanks for any feedback, Costas -- Constantinos Antoniou, Ph.D., Assistant Professor National Technical University of Athens Laboratory of Transportation Engineering School of Rural and Surveying Engineering 9 Heroon Politechniou st., 15780-Zografou, Athens, Greece T: +30 210 7...

...ational Statistics & Data Analysis_ (Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems). 2) Cadima, J. and Jolliffe, I.T. (2001). Variable Selection and the Interpretation of Principal Subspaces, _Journal of Agricultural, Biological and Environmental Statistics_, Vol. 6, 62-79. 3) Duarte Silva, A.P. (2002) Discarding Variables in a Principal Component Analysis: Algorithms for All-Subsets Comparisons, _Computational Statistics_, Vol. 17, 251-271. _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https...

...ational Statistics & Data Analysis_ (Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems). 2) Cadima, J. and Jolliffe, I.T. (2001). Variable Selection and the Interpretation of Principal Subspaces, _Journal of Agricultural, Biological and Environmental Statistics_, Vol. 6, 62-79. 3) Duarte Silva, A.P. (2002) Discarding Variables in a Principal Component Analysis: Algorithms for All-Subsets Comparisons, _Computational Statistics_, Vol. 17, 251-271. _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https...

...ect.org/bugzilla/show_bug.cgi?id=5701#c2 It 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...

I like to find out more about plotmath [[alternative HTML version deleted]]

Hi, I am not sure which kind of test is applied to the data if you use cor.test(x, y) ? Is it an unpaired t-Test? Regards -- View this message in context: http://www.nabble.com/cor.test%28x%2Cy%29-tp22492993p22492993.html Sent from the R help mailing list archive at Nabble.com.

...e: text/plain; charset=utf-8 > > How can I pass something to set_table_name so that I can switch tables > on the fly for accessing archive data? > > If I could access sessions inside a model I would do something like: > > if @session[:current_period] > set_table_name "statistics_" + @session[:archive_year] > else > set_table_name "statistics_" + Date.now.year > end > > But since I cannot access the session from within a model how do I tell > the model to archive data which is held in a different table eg. > "statistics_2005" ?...

...ct.org/bugzilla/show_bug.cgi?id=5701#c2 It 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...

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,

Dear R Core Team, I am using package {urca} to do cointegration and estimate ECM model, but I have the following two problems: (1) I use ca.jo() to do cointegration first and can get the cointegration rank, alpha and beta. The next step is to test some restrictions on beta with blrtest(),bh5lrtest(), and bh6lrtest(). But none of them can add restrictions on all the cointegration

...lars' It converts (in argument list) \item{...}{ to .AG \&... should be .AG ... Converts: \section{Side Effects}{ A plot is produced } to: .SH Side Effects A plot is produced should be .SE A plot is produced Converts \emph{Annals of Statistics} \bold{32}, 407--451. to: _Annals of Statistics_ *32*, 407-451. Should be: .ul Annals of Statistics \fB32\fP, 407-451. Sd2Rd converts .PP in a .d file within the arguments section to two blank lines in .Rd; Rdconv converts that to .IP "" whereas .PP would be better. Rdconv loses comments. This: \value{ ... the same order...

...=5701#c2 > > It 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"......

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...ion error at time zero. The reference for getQ0 (cited by help(arima)) is: Gardner, G, Harvey, A. C. and Phillips, G. D. A. (1980) Algorithm AS154. An algorithm for exact maximum likelihood estimation of autoregressive-moving average models by means of Kalman filtering. _Applied Statistics_ *29*, 311-322. where it is called subroutine STARMA (and coded in fortran 77). My problem is that getQ0 returns incorrect covariance matrices in certain cases. Indeed, below is an example of a SARIMA(1,0,1)x(1,0,0)_12 where getQ0 gives a covariance matrix which possess negative eigenvalues !...

...variance, and is approximately normally distributed. > > For Spearman's test, p-values are computed using algorithm AS 89. > > References: > > D. J. Best & D. E. Roberts (1975), Algorithm AS 89: The Upper Tail > Probabilities of Spearman's rho. _Applied Statistics_, *24*, > 377-379. > > Myles Hollander & Douglas A. Wolfe (1973), _Nonparametric > Statistical Methods._ New York: John Wiley & Sons. Pages 185-194 > (Kendall and Spearman tests). > > > On Fri, Mar 13, 2009 at 5:37 AM, mentor_ <mentor_@gmx.net> w...