search for: rohlfing

I am using the version of wine that came with RedHat 7.2. I just noticed that Codeweavers has their own distribution of wine that includes what looks like a convenient setup configuration utility. What are the pros and cons of uninstalling what I got from RedHat and downloading and installing the rpm from Codeweavers? Thanks

Hi, I'm trying to figure out how anova works in R by translating the examples in Sokal And Rohlf's (1995 3rd edition) Biometry. I've hit a snag with planned comparisons, their box 9.4 and section 9.6. It's a basic anova design: treatment <- factor(rep(c("control", "glucose", "fructose", "gluc+fruct",

I can run my programs with no problems but the help files do not display. Is there some trick? I am running RH 7.2 with wine installed using the rpm that came with it. Thanks.

This question is mainly aimed at Kurt Hornik as author of the ctest package, but I'm cc'ing it to r-help as I suspect there will be other valuable opinions out there. I have been attempting 2 sample Kolmogorov-Smirnov tests using the ks.test function from the ctest package (ctest v.0.9-15, R v.0.63.3 win32). I am comparing fish length-frequency distributions. My main reference for the

Hello R friends, I'm wondering why I get funny qqnorm() results. It seems that they should all be reflected in the normal qqline(). For instance: if I qqnorm() bimodal or uniform data I get a sigmoidal in which the qqnorm() points lie above the qqline() at -ve theoretical quantiles, and the qqnorm() points lie below the qqline() at +ve theoretical quantiles. Yet I expect such platykurtic

...SDN card in the Asterisk server), we would like to have Asterisk 'drop' the call completely once it has been returned to the HiPath PBX. I've tried to dig up information on the web, but wasn't able to find out whether that is possible at all - any feedback is appreciated! Marc Rohlfing -- Marc Rohlfing Training Manager OASY AG Heinz-Nixdorf-Ring 1 Geb?ude C 33106 Paderborn Telefon: +49 5251 / 68893 -13 Fax: +49 5251 / 68893 -09 E-Mail: marc.rohlfing@oasy.de Internet: www.oasy.de

Hello all. This may be a trivially simple question to answer, but I'm a little bit stumped with respect to the calculation of the F statistics in nested anovas in R. If I understand correctly, the F statistic for the among-subgroups but within groups hypothesis is calculated as MS_subgroups/MS_error, while the F statistic for the factor is calculated as MS_factor/MS_subgroups (I'm

[This was filtered (looking like spam) and manually approved by your list maintainer, MM ] EvolDir wrote: > Colleagues, > > A few days ago I posted a message inquiring what folks were using for > teaching biostats. I received a stunning 38 replies offering various > opinions, some quite surprising, along with links to web pages, pointers for > coverage, commentaries on

Dear R-users, I am trying to analyse the data of the box 10.5 in the Biometry from Sokal and Rohlf (2001) using R. This is a three-level nested anova with equal sample size : 3 different treatments are compared ; 2 rats (coded 1 or 2) / treatment are studied ; 3 preparations (coded 1, 2 or 3) / rats are available ; 2 readings of the glycogen content / preparations are realised. Treatment is

Hi, I made the mistake of upgrading both my Linux box (to Ubuntu 6.06) and Asterisk (to 1.2.9.1) at the same time. Now, when trying to compile mpg123 - using the tried and true "make mpg123" -, the build fails with an error make[3]: Entering directory `/usr/src/asterisk-1.2.9.1/mpg123-0.59r' make[3]: *** No rule to make target `\ ', needed by `mpg123'. Stop. Maybe

I've written a g.test() aka log-likelihood ratio test function for my opwn use. It's something I've seen requested (and looked to find myself) on this list a few times. It has the same basic syntax as chisq.test(). It does both goodness of fit tests and tests of independence. Yates' and Williams' corrections are implemented. I've put some examples from Sokal & Rohlf

I frequently want to test for differences between animal size frequency distributions. The obvious test (I think) to use is the Kolmogorov-Smirnov two sample test (provided in R as the function ks.test in package ctest). The KS test is for continuous variables and this obviously includes length, weight etc. However, limitations in measuring (e.g length to the nearest cm/mm, weight to the nearest

Dear r-helpers, Prior to analysis of variance, I ran the Boxcox function (MASS library) to find the best power transformation of my data. However, reading the Boxcox help file, I cannot figure out if this function (through its associated log-likelihood function) corrects for * normality only * or if it also induces * homogeneity of variances *. I found in Biometry (Sokal and Rohlf, p. 419)

...nalog related. > The layout an all the stuff was free downloadable, so that > you can build your own cards. > Does anybody have the link? you're probably talking about the Zapata Telephony Project and their "Tormenta"-Cards: http://www.zapatatelephony.org/ Marc -- Marc Rohlfing Training Manager OASY AG Heinz-Nixdorf-Ring 1 Geb?ude C 33106 Paderborn Telefon: +49 5251 / 68893 -13 Fax: +49 5251 / 68893 -09 E-Mail: marc.rohlfing@oasy.de Internet: www.oasy.de

...rotocol image: (/usr/lib/divas/te_etsi.2q0) I know from version 2.0 that you had to download these images from either isdn4linux.org or melware.de, yet none of them still have the files available. /usr/lib/divas/ does contain some *etsi* files - do they help somehow? Any hint appreciated. Marc Rohlfing

...ctivated just fine. capiinfo shows all 8 B-channels, so I guess I'm good to go. Maybe this should be stated more clearly in the INSTALL and README files - it's especially confusing for "veterans" who try to do things the 2.1 way... In any case: Thanks for the quick reply. Marc Rohlfing

Hola, tengo una serie de datos datExpr, al usar cor() : cor(datExpr ,method = "pearson", use ="pairwise.complete.obs") me da el siguiente error allocMatrix: too many elements specified Trate con "complete.obs", "na.or.complete", y el resto de las opciones para "use", pero siempre me da algun error.  ¿Alguna idea de como puedo hacer que cor() lea

Hi, I''m trying to understand the lme output and procedure. I''m using the Crawley''s book. I''m try to analyse the rats example take from Sokal and Rohlf (1995). I make a nested analysis using aov following the book. > summary(rats) Glycogen Treatment Rat Liver Min. :125.0 Min. :1 Min. :1.0 Min. :1 1st Qu.:135.8

Dear all, I am trying to repeat an example from Sokal and Rohlfs "Biometry" -- Box 11.4, example of a randomized-complete-blocks experiment. The data is fairly simple: series genotype weight 1 pp 0.958 1 pb 0.985 1 bb 0.925 2 pp 0.971 2 pb 1.051 2 bb 0.952 3 pp 0.927 3 pb 0.891 3 bb 0.892 4

Dear all, During my pre-R era I tried (yes, tried) to understand mixed models by working through the 'rat example' in Sokal and Rohlfs Biometry (2000) 3ed p 288-292. The same example was later used by Crawley (2002) in his Statistical Computing p 363-373 and I have seen the same data being used elsewhere in the litterature. Because this example is so thoroughly described, I thought