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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 I have tryed to do the meta-regression in metafor package, but I would like to get the standardized coefficients for each variable, however in command:   Ø  res<-rma.uni (yi, vi, method="REML", mods=~cota+DL+uso+gadiente+idade, data= turbidez)   I just have the coefficients no standardized (estimate) of the multiple regression. What I need to do? Thanks Fernanda Melo

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Brokers Move On ERMX! EntreMetrix Inc. (ERMX) $0.18 Heavy trading today as ERMX announced its launch of digital support tools for its portfolio companies. Brokers are getting ahead of this steady climb as they grab up large blocks of shares for there clients. Look at the numbers and get on ERMX Friday morning! KNEEguru: Are there any contraindications for the procedure? if the laws of physics

Dear R-experts! In a meta-analysis (metafor) I would like to assess the effect of two categorical covariates (A & B) whereas they both have 4 levels. Is my understanding correct that this would require to dummy-code (0,1) each level of each covariate (A & B)? However I am interested in the main-effects and the interaction of these two covariates and the dummy-coding would only allow to

Hi, I am quite new to R and in need of some advice. I am trying to conduct a meta regression over a some studies with about 7 mod variables which I have to dummy encode. I have found the following piece of code in the manual for the metafor library: ### manual dummy coding of the allocation factor alloc.random <- ifelse(dat$alloc == "random", 1, 0) alloc.alternate <-

...n web services. I''m looking for a RESTful Camping tutorial to get started ... pointers appreciated. Some simple example applications: airfoil force calculator: feed it an airfoil geometry, an angle of attack, and a Mach number, and it returns the lift, drag, and pitching moment ablation: feed it surface temperature and thermal protection material properties, and it returns surface blowing rate and specie mass fractions. Thanks, -- Bil Kleb http://fun3d.larc.nasa.gov