search for: unrepl

...onstants and Table 6-12 for Factor effects estimates. So far my attempts at fitting the model gives me very different effect estimates. This I guess is because I have not set the right contrasts? Can anyone explain to me how I could set the correct contrasts in R to estimate the effects in this unreplicated 2^4 factorial? Thanks in advance, Peter

...overall hypothesis. friedman.test( x ) quade.test( x ) However, the R help files, my text books (Bortz, Lienert and Boehnke, 2008; K?hler, Schachtel and Voleske, 2007; both German), and the Wikipedia texts differ in what they propose as requirements for the tests. R says that data need to be unreplicated. I read 'unreplicated' as 'not-repeated', but is that right? If so, the example, in contrast, in friedman.test() appears to use indeed repeated measures. Yet, Wikipedia says the contrary that is to say the test is good especially if data represents repeated measures. The t...

Hi! I am trying to program a TURF analysis and have looked everywhere on the web to see if I can find any clues on how to do this. I've looked at SAS manuals as well. If anyone has ever heard of this kind of marketing analysis and has programmed it I'd be interested in learning how. Any help you could give me is greatly appreciated! Lorena Adams Lorena Adams The National Food Laboratory

Hi, I would need to extend the Friedman test to a replicated design. Currently the function: friedman.test(y, ...) only works for unreplicated designs. I found in Conover 1999 "Practical Nonparamteric statistics" an extension of the formula to my case. Nevertheless, other sources, like Sheskin 2000 "Parametric and Nonparametric statistical Procedures" and Daniel 1990 "Applied nonparametric statistics"...

dd if=/dev/zero of=sl1 bs=512 count=256000 dd if=/dev/zero of=sl2 bs=512 count=256000 dd if=/dev/zero of=sl3 bs=512 count=256000 dd if=/dev/zero of=sl4 bs=512 count=256000 zpool create -m /export/test1 test1 raidz /export/sl1 /export/sl2 /export/sl3 zpool add -f test1 /export/sl4 dd if=/dev/zero of=sl4 bs=512 count=256000 zpool scrub test1 panic. and message like on image. This message posted

IIRC, uncorrectable bitrot even in a nonessential file detected by ZFS used to cause a kernel panic. Bug ID 4924238 was closed with the claim that bitrot-induced panics is not a bug, but the description did mention an open bug ID 4879357, which suggests that it''s considered a bug after all. Can somebody clarify the intended behavior? For example, if I''m running Solaris in a VM,

Dear List, I am looking for a function `Pseudo standard error' (PSE), which is available in S+ DOX (design of experiemnt) module - Is there a similar function available in R? Reference for PSE function is in the paper: 'Quick and easy analysis of unreplicated factorials' by Russell V. Lenth, Technometrics, 1989, 31, 4, 469-473. Thanks. -Nitin

I am trying to use the friedman.test() on a data frame, d, but I am receiving the following error message: > d AW HS IAC WA 1 6 8 3 5 2 2 2 3 6 3 7 7 8 3 4 8 5 4 5 .... 20 2 5 2 7 21 7 7 6 7 22 7 8 6 8 23 6 8 4 5 24 5 7 5 2 > friedman.test(d) Error in any(is.na(groups)) : argument "groups" is missing, with no default I think I

Hello Samba Community I have a question regarding naming contexts replicated between domain controllers, the following situation assumes that there is a domain controller based on Windows 2012R2, we enter into this domain, a domain controller based on Samba 4.20 in a separate site, in which there are no additional domain controllers, and then I observe that from the Samba side the RepsTo naming

Dear useRs, I am glad to announce that that my package mvngGrAd (read: "moving grid") is now available on CRAN. The package implements moving grid adjustment, which is a spatial method used in (unreplicated) plant breeding trials to adjust phenotypic values for environmental effects. The adjustment is done by using phenotypic information from nearest neighbors (NN) as a covariate. Unlike in other NN methods, the NN in the moving grid adjustment are not determined by a measure of distance b...

Dear R-users, I would need to do a Friedman test with replicated samples, and Friedman.test(y...) currently works only for unreplicated designs. Is there a script or a function available? Thanks, Alessandro -- --

Dear useRs, I am glad to announce that that my package mvngGrAd (read: "moving grid") is now available on CRAN. The package implements moving grid adjustment, which is a spatial method used in (unreplicated) plant breeding trials to adjust phenotypic values for environmental effects. The adjustment is done by using phenotypic information from nearest neighbors (NN) as a covariate. Unlike in other NN methods, the NN in the moving grid adjustment are not determined by a measure of distance b...

...lity of the ratings for the web sites ie to what extent does each rater give the same (or similar) rating to each web site. My idea was to fit a random effects model using lme and from that, calculate the intraclass correlation as a measure of rater reliability. So I analysed it using a two-factor, unreplicated random effects model, with sitenumber and rater as crossed random effects. The call to lme was: fit <- lme(score ~ 1, random=list(level=pdBlocked(list(pdIdent(~sitenumber-1), pdIdent(~rater-1)))),data=scores) which makes sense, and I then calculated the intraclass correlation using the w...

I have been trying to analyse an unreplicated repeated measures 2-level factorial design with 11 factors using aov() with Error(), similar to that described in "Notes on the use of R for psychology experiments and questionnaires" by Jonathan Baron and Yuelin Li (see the example of Hay's) I have found that there seems...

Hallo, is there any extension of the pairwise Wilcoxon test to a dependent samples layout with replicates (or, in other terms, a one-way layout with blocking and replicates)? The Wilcoxon method with matched pairs works for the case of dependent samples with one observation per block, while the Mann-Whitney test works for independent samples, thus one single block and replicated observations. Is

...carried out using: > > R : Copyright 2002, The R Development Core Team > Version 1.5.1 (2002-06-17) > > > > Peter > > > >>> Brian >>> >>> On Wed, 14 Aug 2002, Peter Ho wrote: >>> >>>>> I have been trying to analyse an unreplicated repeated measures >>>>> 2-level >>>>> factorial design with 11 factors using aov() with Error(), similar to >>>>> that described in "Notes on the use of R for psychology >>>>> experiments and >>>>> questionnair...

Hi, I''m struggling to get a stable ZFS replication using Solaris 10 110/06 (actual patches) and AVS 4.0 for several weeks now. We tried it on VMware first and ended up in kernel panics en masse (yes, we read Jim Dunham''s blog articles :-). Now we try on the real thing, two X4500 servers. Well, I have no trouble replicating our kernel panics there, too ... but I think I

I have written the following function to calculate the weighted mean difference for univariate data (see http://www.xycoon.com/gini_mean_difference.htm for a related formula). Unsurprisingly, the function is slow (compared to sd or mad) for long vectors. I wonder if there's a way to make the function faster, short of creating an external C function. Thanks very much for your advice. gmd

...peg() on Unix/X11. (They were already available on Windows.) o postscript(print.it=TRUE) now does print the plot file. postscript(onefile=FALSE) now produces multiple separate files. o provide() is now deprecated. o New function quade.test() in package ctest for the Quade test for unreplicated blocked data. o quantile(x, probs) now propagates NA/NaN in probs. o Option for user-supplied normal random generator in RNGkind(). o read.fwf() is no longer dependent on Perl. o New arguments check.names and strip.white to read.table() and friends. o Functions recor...

...peg() on Unix/X11. (They were already available on Windows.) o postscript(print.it=TRUE) now does print the plot file. postscript(onefile=FALSE) now produces multiple separate files. o provide() is now deprecated. o New function quade.test() in package ctest for the Quade test for unreplicated blocked data. o quantile(x, probs) now propagates NA/NaN in probs. o Option for user-supplied normal random generator in RNGkind(). o read.fwf() is no longer dependent on Perl. o New arguments check.names and strip.white to read.table() and friends. o Functions recor...