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...minerva) mine(C,D)$MIC library(boot) myCor <- function(data, index){ mine(data[index, ])$MIC } results=boot(data = cbind(C,D), statistic = myCor, R = 2000) boot.ci(results,type="all") ########## ________________________________ De : Rui Barradas <ruipbarradas at sapo.pt> roject.org> Envoy? le : Dimanche 10 d?cembre 2017 16h34 Objet : Re: [R] Confidence intervals around the MIC (Maximal information coefficient) Hello, First of all, when I tried to use function mic I got an error. mic(cbind(C, D)) Error in mic(cbind(C, D)) : could not find function "mic&quot...

...are any specific call outs for 3.11 beyond bugs, please update the review, or leave a comment in the review, for us to pick it up Thanks, Shyam/Kaushal [1] Release bug tracker: https://bugzilla.redhat.com/show_bug.cgi?id=glusterfs-3.11.1 [2] 3.11 review dashboard: https://review.gluster.org/#/projects/glusterfs,dashboards/dashboard:3-11-dashboard [3] Release notes WIP: https://review.gluster.org/17480 [4] Release calendar: https://www.gluster.org/community/release-schedule/

...uot;) Look at the differences between: mine(C, D) and mine(cbind(C, D)) The first returns a value, the second returns a symmetric matrix. Just like cor() David L. Carlson Department of Anthropology Texas A&M University -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of varin sacha via R-help Sent: Sunday, December 10, 2017 11:07 AM To: Rui Barradas <ruipbarradas at sapo.pt>; R-help Mailing List <r-help at r-project.org> Subject: Re: [R] Confidence intervals around the MIC (Maximal information coefficient) Hi Rui, Many thanks. The R...

What is the difference between arima and arima0?

Dear R-experts, Here below is my code, I would like to add a vertical line on my plot, showing the median and I would like to place some values on this graph as well, i.e. 4.3 and -8.4. How can I do ? Many thanks for your reply. A=c(1,2.3,4,3.5,4.3,2.5,6.3,-0.1,-1.5,3.7,-2.3,-3.5,5.4,3.2, -10.5,-8.4,-9.4) d <- density(A) plot(d) median(A)

...s well, i.e. 4.3 and -8.4. How can I do ? > Many thanks for your reply. > > > > A=c(1,2.3,4,3.5,4.3,2.5,6.3,-0.1,-1.5,3.7,-2.3,-3.5,5.4,3.2, -10.5,-8.4,-9.4) > d <- density(A) > plot(d) > median(A) > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >

..., please update the review, or leave a > comment in the review, for us to pick it up > > Thanks, > Shyam/Kaushal > > [1] Release bug tracker: https://bugzilla.redhat.com/sh > ow_bug.cgi?id=glusterfs-3.11.1 > > [2] 3.11 review dashboard: https://review.gluster.org/#/p > rojects/glusterfs,dashboards/dashboard:3-11-dashboard > > [3] Release notes WIP: https://review.gluster.org/17480 > > [4] Release calendar: https://www.gluster.org/community/release-schedule/ > _______________________________________________ > maintainers mailing list > maintainers at...

...a) > mine(C,D) > library(boot) > myCor=function(data,index){ > mic(data[index, ])[1,2] > } > results=boot(data=cbind(C,D),statistic=myCor, R=2000) > boot.ci(results,type="all") > ########## > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >

Dear list, Sometimes I have huge data.frames and the small spreadsheetlike edit.data.frame is quite handy to get an overview of the data. However, when I close the editor all data are rolled over the console window, which takes time and clutters the window. Is there a way to avoid this? Fredrik

Dear R-Experts, Here below is my R code (reproducible example) to calculate the confidence intervals around the spearman coefficient. ########## C=c(2,4,5,6,3,4,5,7,8,7,6,5,6,7,7,8,5,4,3,2) D=c(3,5,4,6,7,2,3,1,2,4,5,4,6,4,5,4,3,2,8,9) cor(C,D,method= "spearman") library(boot) myCor=function(data,index){ cor(data[index, ])[1,2] } results=boot(data=cbind(C,D),statistic=myCor, R=2000)

On Sun, May 7, 2017 at 12:07 AM, NAKAMURA Takumi via llvm-dev < llvm-dev at lists.llvm.org> wrote: > I have done just now. 5 repos added including debuginfo-tests. > ATM, it includes 17 repos total. > > - Created the new repo; https://github.com/llvm- > project/llvm-project-20170507.git > Branches will come later. > - The previous repository has a merge commit that includes new repo. It > will stick to r302363. > Can you update http://llvm.org/docs/GettingStarted.html#for-developers-to-work-with-a-git-monorepo with new instructions for how...

...le correct source location for the new instruction, and > > typically > > > erasing the source location will give a better debugging experience > > (also > > > a less misleading profile). > > For the record: revision 289661 ( > http://llvm.org/viewvc/llvm-project?view=revision&revision=289661 ) > added a new API to obtain a merged/combined location from multiple > source locations. That said, the new functionality added at that > revision is just a stub. So, it is still unclear at the moment how > we could 'use' that in future. >...

....3.0 is necessary for CUDA) on my "SUSE Linux Enterprise Server 12.2 (x86_64)". Unfortunately the build process breaks for lldb with the below mentioned error message. I've downloaded the following packages and configured with the following commands. svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm cd llvm/tools svn co http://llvm.org/svn/llvm-project/cfe/trunk clang svn co http://llvm.org/svn/llvm-project/polly/trunk polly cd clang/tools svn co http://llvm.org/svn/llvm-project/clang-tools-extra/trunk/ extra cd ../../../projects svn co http://llvm.org/svn/llvm-project/compiler...