search for: metas

This patch adds code to handle SKB_GSO_TCPV6 skbs and construct appropriate extra or prefix segments to pass the large packet to the frontend. New xenstore flags, feature-gso-tcpv6 and feature-gso-tcpv6-prefix, are sampled to determine if the frontend is capable of handling such packets. Signed-off-by: Paul Durrant <paul.durrant@citrix.com> Cc: Wei Liu <wei.liu2@citrix.com> Cc: David

Hi All, Im interested in creating a function that will convert a variable within a data.frame to a factor while retaining the original name (yes, I know that I can just: var <-factor(var) but I need it as a function for other purposes). e.g.: # this was an attempt but fails. facts <- function(meta, mod, modname = "spec") { meta$mod <- factor(meta$mod)

Hi everybody. I'm using BFAST program and I have some data to be analized (named "META.csv" for example). When I call BFAST in the following way: meta <- read.csv("C:/META.csv") meta.ts<-ts(meta, frequency=12, start = c(2005,9)) dis<-frequency(meta.ts) / length(meta.ts) meta.sc<-bfast(meta.ts, h=dis, max.iter=1) meta.sc$output The last statement has the

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath each subgroup. I am able to generate the subgroup analyses by simply

Hey all, I'm working on a media-database art project that basically stores a bunch of sound and video files, which are then navigated based on meta-data. I'm not sure where to start asking these, questions, here seemed like a good start. So I was thinking I should use an open format, like ogg/vorbis/theora. I also thought, will all that coll meta-data stuff in ogg I should be able to

I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)?

https://bugzilla.netfilter.org/show_bug.cgi?id=1739 Bug ID: 1739 Summary: meta mark 0x80000000 display error Product: nftables Version: 1.0.x Hardware: All OS: All Status: NEW Severity: minor Priority: P5 Component: nft Assignee: pablo at netfilter.org Reporter: k at

I was working on a haproxy transparent proxy setup that we had working on Centos 7 (iptables), but running into issues getting tproxy working with NFTables on Centos 8. >From https://www.kernel.org/doc/Documentation/networking/tproxy.txt, It should be a matter of: # nft add table filter # nft add chain filter divert "{ type filter hook prerouting priority -150; }" # nft add rule

The most important parts of the new meta data system is now in place. Some of you might have seen that all core options, the annotate plugin and the resize plugin have been updated to use it. The meta data system allow us to reduce the amount of code in the core and plugins. It makes adding new options much easier. It allows plugin and application developers to add any additional meta data they

https://bugzilla.netfilter.org/show_bug.cgi?id=1737 Bug ID: 1737 Summary: meta hour error with different time-zones Product: nftables Version: 1.0.x Hardware: x86_64 OS: Debian GNU/Linux Status: NEW Severity: normal Priority: P5 Component: nft Assignee: pablo at netfilter.org

Hi all, Iam having an issue with uploading videos to facebook from my rails application. One of my team member said that we should send meta properties of the video to post on facebook. Iam new to ROR and i dont know how to get the meta properties. Please can anyone help me in this with an example? The code that he gave me was this: I want to do it in rails <meta

To test gluster's behavior under heavy load, I'm currently doing this on two machines sharing a common /mnt/gfs gluster mount: ssh bal-6.example.com apt-get install dbench && dbench 6 -t 60 -D /mnt/gfs ssh bal-7.example.com apt-get install dbench && dbench 6 -t 60 -D /mnt/gfs One of the processes usually dies pretty quickly like this: [608] open

Hello, I experimented the Metafor and Meta packages in the scope of replacing Excel for meta-analysis. I performed the first working example provided in Michael Borenstein's book "Introduction to Meta-Analysis" with Excel, Metafor and Meta. The numbers given by my spreadsheet, which I validated from Borenstein's book, conrespond quite closely to those given by Meta, but

Hi All, I have a function that is used with data frames having multiple id's per row and it aggregates the data down to 1 id per row. It also randomly selects one of the within-id values of a variable (mod), which often differ within-id. Assume this data frame (below) is much larger and I want to repeat this function, say 100 times, and then derive the mean values of r over those 100

Hi to all, sorry, but I am not subscribed to this list. I have a question, because I did not find any answer for my problem. If you have so, please let me know! We use rsync to synchronise "one-to-many" workstations. We use our obnovang software (http://obnova.bp.opf.slu.cz/). You can read more info on this page, but in general, we are doing backups and refresh of many workstations

On Monday 04 July 2016 00:00:59 Matteo Cafasso wrote: > Access, modification, last status change and creation time in > Unix format as for statns. > > Number of links pointing to a given entry. > > If the entry is a symbolic link, report its target path. > > A new flag (DIRENT_COMPRESSED 0x04) indicating whether the file is > compressed using native filesystem

Hi All, I have run a series of random effects meta regressions on binomial outcomes using the metabin function in R. Now I would like to conduct some random effects meta regressions on the outcomes. Is there a command available which will allow for me to test the impact of a certain variable on the relative treatment effect from my meta regressions? Many Thanks, Steph -- View this message in

I am basically trying to append a value(vector) to one dataframe using a relational value from another dataframe. Obviously, I can use a loop to accomplish this. However, is there a way to vectorize it? Example: > data <- data.frame(c(1,1,1,2,2,2,3,3,3),rep(2,9)); names(data) <- > c("Sample","Score") > meta <-

Report access, modification, status update and creation time in Unix format. Report number of links pointing to a given entry. If the entry is a symbolic link, report the path of its target. If the filesystem supports native/transparent compression, report compressed files with dedicated flag (DIRENT_COMPRESSED 0x04). Matteo Cafasso (2): filesystem_walk: more information into tsk_dirent

Dear R users: In the example of meta-analysis (cochrane, package rmeta), I can not found the p-value of Test for overall effect, and some other indices (Z, I, weight and et al). How can I get the these indices listed? > library(rmeta) > data(cochrane) > cochrane name ev.trt n.trt ev.ctrl n.ctrl 1 Auckland 36 532 60 538 2 Block 1 69 5