similar to: Classic fail-safe N

I would suggest to post this to the (recently created) R-sig-meta-analysis mailing list. See: https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis Best, Wolfgang >-----Original Message----- >From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Naike Wang >Sent: Monday, June 26, 2017 08:32 >To: R-help at r-project.org >Subject: [R] Classic fail-safe N >

Hi all, I was conducting a meta-analysis of single proportions(i.e. without a control group) using the metafor package. When I performed a classic fail-safe N, I noticed that the result (the number of missing studies that would bring p-value to the alpha, to be exact)was different than that I got in Comprehensive Meta-Analysis Version 2.0. I wonder why R and CMA got different results. *Below is

Dear users of metafor, I am working on a meta-analysis using the metafor package. I have a excel csv database that I am working with. I am interested in pooling the effect measures for a particular subgroup (European women) in this csv database. I am conducting both sub-group and meta-regression. In subgroup-analyses, I have stratified the database to create a separate csv file just for European

Hi, I am a student using R for my final year project, with the metafor package being particularly helpful. I have been following the steps laid out in the manual 'Conducting Meta-analysis in R with the Metafor package' (Viechtbauer, 2010) and applying it to my own data of infected Anopheles mosquitoes across Africa. In particular, I am attempting to apply a mixed-effect model to my data

Hi all, I want to create two groups of random numbers to calculate proportions. The first group is to represent the number of cases in a study. The second group is to represent the sample size of the study. Apparently, the sample size is going to have to be bigger or equal to the number of cases, but the sample size of a study is not necessarily greater than the number of cases of another study.

Dear Helpers, I just started working with R and I'm a bit overloaded with information. My data is from marsupials reindroduced in a area. I have weight(wt), hind foot lenghts(pes) as continues variables and origin and gender as categorial. condition is just the residuals i took from the model. > names(dat1) [1] "wt" "pes" "origin" "gender"

Hello Helpers, I have some problems with fitting the model for my data... -->my Literatur says (crawley testbook)= Non-normality of errors-->I get a banana shape Q-Q plot with opening of banana downwards Structure of data: origin wt pes gender 1 wild 5.35 147.0 male 2 wild 5.90 148.0 male 3 wild 6.00 156.0 male 4 wild 7.50 157.0 male 5 wild 5.90

Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = status.rev = 0 major = 0 minor = 64.2 year = 1999 month = July day = 3 language = R -- It is unclear to me that the handling of NAs is desirable, and it has problems with names: > z <- c(T,T,NA,F,T) > names(z) <- letters[1:5] > which(z) Error: names attribute

Hi, I can't get my head around this - can someone give me a pointer: I have a vector of values ('orig') representing areas and I want to calculate the amount contributed by each original vector values in a new vector ('new'). I find this hard to explain so here is a graphical explanation: # CODE START orig <- 10:1 #10 values with varying area new <-

Dear metafor users, I am working on a meta-analysis of reliability and the correlation associations. I need some help about conducting categorical moderators variables. Questions 1: How to conduct the weighted ANOVAs assuming a mixed-effects model on the tranformed alpha coefficients/the tranformes correlation coefficients for the categorical moderator variables? Questions 2: How to

Dear R community, I'm using the ,metafor'-package by Wolfgang Viechtbauer (Version: 0.5-5) to calculate random-effects meta-analyses using Correlations and Sample Sizes as the raw data. (By the way: Really a nice piece of work, Wolfgang! Thanks heaps.) I specified the "rma.uni' function so that it looks like this: MAergebnis<-rma.uni(ri=PosOutc, ni=N,

I installed capistrano and have tried several things. Can''t seem to get it working. This is what i am getting. C:\ruby\radrails\modernfossil>cap deploy * executing `deploy'' * executing `deploy:update'' ** transaction: start * executing `deploy:update_code'' svn: Can''t create tunnel: The system cannot find the file specified. ***

Hi there! I have a serious issue! I tried installing a game (PES 2010) and then, because it was not running, I decided to remove the application and upgrading to wine 1.1.33. So I did and then I restarted setup.exe, but now it brings me to the unistall prompt of the game, as if I had pes installed yet! To remove it, I oreviously used the "remove wine apps" tool, but after that the game

I'm completely new to linux so please explain some terms that i might now know I have PES 2011 cracked version and I installed it on linux only to get something like "PES not installed" everytime i try to run it. I don't have a disk. Can somebody help?

I have a vector Pes with 600 elements some of which are NA's. How can I form a vector of the indices of the NA's. for(i in 1:600) if(is.na(Pes[i])) print(i) prints the indices of the NA's but I can't figure out how to put the results in a vector. Thank you very much. Peter B. -- Peter B. Mandeville mandevip at deimos.tc.uaslp.mx Jefe del Depto. de

Hi all, I am not a very proficient R-user yet, so I hope I am not wasting people?s time. I want to run a linear mixed model with 3 random factors (A, B, C) where A and B are partially crossed and C is nested within B. I understand that this is not easily possible using lme but it might be using lmer. I encountered two problems when trying: Firstly, I can enter two random factors in lmer but

# export USB_DEBUG=5 # /usr/local/ups/bin/usbhid-ups -a CP550SLG -DDDDD Network UPS Tools - Generic HID driver 0.34 (2.4.3) USB communication driver 0.31 0.000000 debug level is '5' 0.000426 upsdrv_initups... usb_set_debug: Setting debugging level to 5 (on) usb_os_init: Found USB VFS at /dev/bus/usb usb_os_find_busses: Found 001 usb_os_find_busses: Found 002

Bonjour, J'ai un petit souci avec mon petit couple rsync over ssh. Quand je fais un rsync d'une machine, et que celle-ci dispose d'une messagerie de type vpopmail, le backup m'indique ? la fin que certains fichiers n'ont pu ?tre transf?r?s. Ceci est du au fait que sachant que les services POP/SMTP sont actif, des fichiers ont ?t? supprim?s entre le temps ou la liste des

Dear All, I'm having trouble tweaking a forest plot made using the R meta-analysis package metafor. I did the analysis based upon the correlation coeff from studies and plotted the corresponding forest plot easily > q2<-rma(yi,vi,mods=cbind(grupo),data=qim) > q2 > forest (q2,transf=transf.ztor,digits=3, ... ,alim=c(0,1),refline=.5) > text(-1.55,42,"Esp?cie

Hello all, I am trying to do a Latin Hypercube Sampling (LHS) to a 5-parameter design matrix. I start as follows: library(lhs) p1<-randomLHS(1000, 5) If I check the distribution of each parameter (column), they are perfectly uniformly distributed (as expected).For example, hist(p1[,1]) Now the hard (maybe strange) question. I want the combination of the first three parameters to sum up to