similar to: Effects library LSM decimal place errors

Dear alltogether, I want to use CGIwithR in conjunction with R2HTML. A small example called 'test.R': ##### #! /usr/bin/R invisible(capture.output(library(R2HTML))) HTML(summary(as.numeric(scanText(formData$numbers))), file=stdout()) ##### The script gets its input via 'CGIwithR.cgi' and contains the variable "numbers." The 'HTML' output (-> summary() in

Hi, I'm running Samba as a PDC for 1 year it works great. I have one question. In this time we need for some applications Extended Attributes (EA), users can read, write, but not delete files. These applications are written in Pascal (DOS mode) :o((. Can anyone tell me, if RSBAC or LSM or any other similar project can help ne with this problem? Can Samba work with these EA? Thanks,

On Thu, Dec 1, 2022 at 5:42?AM Roberto Sassu <roberto.sassu at huaweicloud.com> wrote: > > From: Roberto Sassu <roberto.sassu at huawei.com> > > One of the major goals of LSM stacking is to run multiple LSMs side by side > without interfering with each other. The ultimate decision will depend on > individual LSM decision. > > Several changes need to be made to

I'm trying to compile R 0.61.3 on Solaris and I get the following error. Does anyone know where I should find these libraries? ld: fatal: library -lSM: not found ld: fatal: library -lICE: not found ld: fatal: File processing errors. No output written to R.binary *** Error code 1 make: Fatal error: Command failed for target `R.binary' Paul Gilbert

Dear R users and developers, Would any of you be interested in giving a lecture about R and/or R use cases at the following free software conference that takes place in Amiens, France, next summer? We already had a talk on R last year by Yves Croissant (http://2006.rmll.info/theme_26?lang=en) but are still open to any submission this year. We expect some talks this year (to be confirmed) about

>> Hi, >> sorry I forget to specify OS. >> I'm using: >> RH 7.2 kernel 2.4.9 >> FS - XFS 1.0.2=20 >> Samba 2.2.3a >> I'm using XFS ACL, but I need set EA(ACL) to Change (read - yes, write - >> yes, delete - no, execute - no). >> I don't know how to set this with standard UNIX permissions (rwx).=20 >>

Hi, I use shorewall-4.5.4 + lsm-0.143 and it does not seem to work as expected... When all providers are up, everything seems fine. When one goes down, lsm says "link <provider> down event"... and it seems ok but we then experience some problems such as a few unreachable sites, DNS problems... If I remove the downed provider from all confs and restart, everything works again.

From: Roberto Sassu <roberto.sassu at huawei.com> One of the major goals of LSM stacking is to run multiple LSMs side by side without interfering with each other. The ultimate decision will depend on individual LSM decision. Several changes need to be made to the LSM infrastructure to be able to support that. This patch set tackles one of them: gives to each LSM the ability to specify one

From: Roberto Sassu <roberto.sassu at huawei.com> One of the major goals of LSM stacking is to run multiple LSMs side by side without interfering with each other. The ultimate decision will depend on individual LSM decision. Several changes need to be made to the LSM infrastructure to be able to support that. This patch set tackles one of them: gives to each LSM the ability to specify one

Hello, I am running error rate analysis. It is my results below. When I compare aov1 and aov2, X square = 4.05, p = 0.044, which indicates that adding the factor "Congruity" improved the fitting of model. However, the following Z value is less than 1 and p value for Z is 1, which means that "Congruity" is not significant at all. Therefore, these two parts are not consistent,

The message for aov1 was "Estimated effects <may> be unbalanced". The effects are not unbalanced. The design is 'orthogonal'. The problem is that there are not enough degrees of freedom to estimate all those error terms. If you change the model to: aov1 <- aov(RT~fact1*fact2*fact3+Error(sub/(fact1+fact2+fact3)),data=myData) or to aov2 <-

Hi, I have a question about using "lme" and "aov" for the following dataset. If I understand correctly, using "aov" with Error term in the formula is equivalent to using "lme" with default settings, i.e. both assume compound symmetry correlation structure. And I have found that equivalency in the past. However, with the follwing dataset, I got different

Hi, I have a question about using "lme" and "aov" for the following dataset. If I understand correctly, using "aov" with an Error term in the formula is equivalent to using "lme" with default settings, i.e. both assume compound symmetry correlation structure. And I have found that equivalency in the past. However, with the follwing dataset, I got different

Hi all, Sent the following question yesterday, but haven't got any suggestions yet. So just trying again, can anyone comment on the problem that I have? Thank you! ------------- Hi, I have a question about using "lme" and "aov" for the following dataset. If I understand correctly, using "aov" with an Error term in the formula is equivalent to using

Hi Bert, Thanks for the suggestions. I tried lme with different control parameters, and also tried using "ML", instaed of "REML", but still got the same answers. Yes, I hope some gurus on this list could give me some hints. Thanks --- "Gunter, Bert" <bert_gunter at merck.com> wrote: > But they are close. This is almost certainly a > numeric issue --

Dear R-Community! The example "oats" in MASS (2nd edition, 10.3, p.309) is calculated for aov and lme without interaction term and the results are the same. But I have problems to reproduce the example aov with interaction in MASS (10.2, p.301) with lme. Here the script: library(MASS) library(nlme) options(contrasts = c("contr.treatment", "contr.poly")) # aov: Y ~

Dear R users, Firstly, I would like to congratulate the R core team in bringing out R 1.0.0 and all who have helped in developing it. I have been having problems with using se.contrasts and would be pleased if someone help. I have been doing a repeated measures ANOVA using aov using a split plot design for a single variable, color. The aov results were as follows: > summary(aov(CD2~cont +

Hello everybody, In am trying to analyse a BACI experiment and I really want to do it with R (which I find really exciting). So, before moving on I though it would be a good idea to repeat some known experiments which are quite similar to my own. I tried to reproduce 2 published examples but without much success. The first one in particular is a published dataset analysed with SAS by

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