similar to: TukeyHSD and BIBD

hi list, i have to ask you again, having tried and searched for several days... i want to do a TukeyHSD after an Anova, and want to get the adjusted p-values after the Tukey Correction. i found the p.adjust function, but it can only correct for "holm", "hochberg", bonferroni", but not "Tukey". Is it not possbile to get adjusted p-values after

Dear R-developeRs, Attached follows a patch against svn 34959 that adds the printing of p-values to the TukeyHSD.aov function in stats package. I also updated the corresponding documentation file and added a 'see also' reference to the simint function of the multcomp package. As it was already brought up in a previous thread [1] in R-help, one can obtain the adjusted

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I've just tried a yum update on one of my C7 boxes and got the following output. I'm guessing to fix this I need to re-install the RPM, but I can't remove it because of dependancies, so how can I fix the problem? I've managed to download a later version of the RPM, but haven't managed to find the same version as the one installed. Gary [root at zeppo ~]# yum install There

also sprach Nico Kadel-Garcia <nkadel at gmail.com> [2014-12-22 14:43 +0100]: > The problem, I think, isn't that you have an entry in all three. It's > that you have a *shortened* hostname that is identical in all 3 DNS > domains. If your DNS admins have gracefully set the local environments > to each be on their own subdomain, and that subdomain is *first* in > DHCP

CentOS Errata and Security Advisory 2020:0578 Important Upstream details at : https://access.redhat.com/errata/RHSA-2020:0578 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 10d0763e405aae51e7c80f9f1a0a4d60ccaffc7c5e3baa09ef8eda3c4d9bd805 python-pillow-2.0.0-20.gitd1c6db8.el7_7.i686.rpm

Hi Paddy, I was suspecting the same, and from the output below I think you're right. However, I was hoping I could just repair this problem for now, and worry about replacing the HDD later. I need to resume some services that also seem to generate this same error. Gary [root at zeppo services]# ll /usr/lib64/python2.7/lib-dynload/itertoolsmodule.so -rwxr-xr-x. 1 root root 61976 Sep 15

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Using a "by() statement, I am preparing ANOVA's for multiple experiments, and using simint() to generate confidence intervals. This works fine. simint.by.fit <- by(analytes.dfr, list(Assay = analytes.dfr$analyte ), function(data) (simint(value ~ tx, data = data,type='Tukey' ) ) ) I can separately prepare plots of the confidence intervals, and I can prepare separate plots

Hi all, I have a question regarding dynamic indexing into a vector with GEP. I see that in the ScalarReplAggregates pass in the LLVM 3.2 release the call SROA::isSafeGEP() will now allow alloca scalarization in the case where a GEP index into a vector isn’t a constant. My question is: what is the expected behavior when the index is out of bounds of the vector? Is it undefined? I have an

I''ve got about 40 linux/aix machines that I''d like assimilate into config management with puppet. I''ve been reading lots of docs, recipes and best practices. I''m wondering if there''s a guide somewhere that lays out the most efficient way to spread the use of puppet across a quantity of installed machines. I''d like to do first things first,

Hi group, I'm trying to do a Tukey test to compare the means of a factor ("treatment") with three levels in an lme model that also contains the factors "site" and "time": model = response ~ treatment * (site + time) When I enter this model in csimtest, it takes all but the main factor "treatment" as covariables, not as factors (see below). Is it

Are there any other tutorial than "Agile Web Development with Rails" that you can suggest? So far I can''t say that RoR has been easy to learn. :-) -- Posted via http://www.ruby-forum.com/.

Here it is again, hope this is more clear I am using the following data (only a small subset is given): Habitat Fungus.yield Birch 20.83829053 Birch 22.9718181 Birch 22.28216829 Birch 24.23136797 Birch 22.32147961 Birch 20.30783598 Oak 27.24047258 Oak 29.7730014 Oak 30.12608508 Oak 25.76088669 Oak 30.14750974 Hornbeam 17.05307949 Hornbeam 15.32805111 Hornbeam 18.26920177 Hornbeam 21.30987049

Dear R-listers, I am trying to compute simultaneous confidence intervals with simint from the package multcomp. 230 measures (abundance) have been taken in 23 sites (factor) of a data.frame (donnees: a file can be sent on request, saved with save(donnees,file="donnees")). I would like to get all pairwise comparisons with : mc<- simint(ren~ID,type="Tukey",data=donnees) I

Hi All, Does anyone know how to get contrast statements or an output similar to TukeyHSD when doing survival analysis with the coxph function? Thanks, Adriana -- View this message in context: http://r.789695.n4.nabble.com/TukeyHSD-responses-in-R-tp2530120p2530120.html Sent from the R help mailing list archive at Nabble.com.

Hello, I think that to apply the Neuman-Keuls test under R it's possible with the TukeyHSD function and I know that to do a Neuman-Keuls test I have to sort the means but I can't use the TukeyHSD function I don't understand how to do to apply this function to my data. In the R help they use the TukeyHSD function to a aov() do you think that I have to do teh same? thanks.

R Version 2.0.0 Under development (unstable) (2004-05-07) I have been wanting to use TukeyHSD for two and three way aov's, as they are especially simple for students to use correctly. I realize model simplification is usually a preferred methodology, but my disciplinary enertia and simplicity of TukeyHSD is also compelling. However, the lack of names on the comparisons for the higher order

simint and TukeyHSD work for aov objects. Can someone point me to similar functions for lme objects? Dieter Menne

Dear list I need to see the code of plot.TukeyHSD. There is no .default for it. Please help. Lize -- This e-mail and its contents are subject to the South African Medical Research Council e-mail legal notice available at http://www.mrc.ac.za/about/EmailLegalNotice.htm