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Greetings I have been trying to use metaplot to create a forest plot of my meta-analysis results. My data is in the form of ORs, so I've been inputting the ORs as the point estimate (mn) and the SEs of the logORs as the SE (se). However, whilst the point estimates appear to be displayed properly, many of the confidence intervals go below zero (not possible for an OR, as far as I know). I think the confidence intervals shown might be simply 1.96 x SE or 2 x SE. Is there a way to get meta plot to show the...

Dear Sir or Madam, I am trying to plot forest plot. I extracted odds ratio and their corresponding 95% confidence interval from papers, then I calculated the log(OR) and standard error using the following command OR<-metagen(logOR,selogOR,sm="OR") forest(OR,comb.fixed=TRUE,comb.random=TRUE,digits=2) However, it does not produce a forest plot. Can someone kindly help? Thank you in advance. Best wishes weiwei [[alternative HTML version deleted]]

...king on meta analysis using rmeta package. Using code below I plot the forest plot: library(rmeta) data (catheter) a<-meta.MH (n.trt, n.ctrl, col.trt, col.ctrl, data=catheter, names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2)) summary(a) # odds ratio values and confidence intervals metaplot(a$logOR, a$selogOR, nn=a$selogOR^-2,a$names, summn=a$logMH, sumse=a$selogMH, sumnn=a$selogMH^-2, logeffect=TRUE) Now I would like to add numerical odds ratio values and corresponding confidence intervals for each study on the second y axis (eg. http://www.statsdirect.com/help/meta_analysis/cochrane_plo...

...to look like this? (copy from help file rmeta) library(rmeta) op <- par(lend="square", no.readonly=TRUE) data(catheter) a <- meta.MH(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter, names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2)) # angry fruit salad metaplot(a$logOR, a$selogOR, nn=a$selogOR^-2, a$names, summn=a$logMH, sumse=a$selogMH, sumnn=a$selogMH^-2, logeffect=TRUE, colors=meta.colors(box="magenta", lines="blue", zero="red", summary="orange", text="forestgreen"...

This patch is just for discussion. There are still a couple of issues that I'm trying to fix. One is that all of the test guests I have, even ones with static IPs, have multiple interfaces, some using DHCP, so the conditions for adding the Powershell script don't kick in. This makes testing very awkward. However a bigger issue is that I think the premise is wrong. In some registries

v1 was here with much discussion: https://www.redhat.com/archives/libguestfs/2018-December/msg00048.html v2: - Fix the case where there are multiple interfaces. Note this does not preserve order correctly (see patch for comment on why that is a hard problem). - Preserve name servers. This patch is still for discussion only. I'd like to see what might be done to get this upstream

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

At the moment OpenStack uses kpartx and nbd to resize filesystems and inject files to guests. I sincerely hope they don't allow untrusted users to upload guest images / AMIs :-( To fix this I'm looking into adding libguestfs support as an optional backend in OpenStack. The only missing feature in libguestfs is the ability to call tune2fs on a filesystem. This patch series adds tune2fs

This map was originally included just for the java bindings, but is generally useful to any binding which uses camel case by requirement or convention. --- generator/generator_haskell.ml | 4 ++-- generator/generator_java.ml | 10 +++++----- generator/generator_main.ml | 2 +- generator/generator_structs.ml | 12 +++++------- generator/generator_structs.mli | 8 ++++---- 5

https://bugzilla.redhat.com/show_bug.cgi?id=847880 https://bugzilla.redhat.com/show_bug.cgi?id=847881 This patch series adds various optional arguments to the tar-in and tar-out commands. Firstly (1/7) an optional "compress" flag is added to select compression. This makes the calls tgz-in/tgz-out/txz-in/txz-out deprecated, and expands the range of compression types available.

...Date: Tue, 24 Aug 2010 03:03:46 +0000 Subject: [R] forest plot Dear Sir or Madam, I am trying to plot forest plot. I extracted odds ratio and their corresponding 95% confidence interval from papers, then I calculated the log(OR) and standard error using the following command OR<-metagen(logOR,selogOR,sm="OR") forest(OR,comb.fixed=TRUE,comb.random=TRUE,digits=2) However, it does not produce a forest plot. Can someone kindly help? Thank you in advance. Best wishes weiwei [[alternative HTML version deleted]] --Forwarded Message Attachment-- From: djmuser at...