search for: tneg

...creates nice forest plots for presenting the results of a meta-analysis. These plots can be annotated for e.g. giving names to the columns. E.g. as in the documentation of the package: data(dat.bcg) ### meta-analysis of the log relative risks using a random-effects model res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg, measure="RR", slab=paste(author, year, sep=", "), method="REML") forest(res, slab=paste(dat.bcg$author, dat.bcg$year, sep=", "), xlim=c(-16, 6), at=log(c(.05, .25, 1, 4)), atransf=exp, ilab...

Hello, Is it possible to have two meta-plots in one graph (not par(mfrow=c(2,1))? But somthing like  library(metafor)  library("igraph")    if (interactive()) {     forest(dat.Treat$RR, ci.lb=dat.Treat$lower, ci.ub=dat.Treat$upper, xlab="Relative Risk",slab=dat.Treat$ID,refline=1)     forest(dat.Control$RR, ci.lb=dat.Control$lower, ci.ub=dat.Control$upper, xlab="Relative

Dear R-community, I'm currently trying to assemble a forest plot using the "forest" function from package "metaphor". Works well. Even the regular "main"-argument works for adding a title to the graph. However, I would like to add one top row which explains the nature of the columns. Very much like the usual header in spreadsheet programs. For example:

Dear R User, Please, I am new to R. I want to overlay density plot for predictive interval pooled result in meta-analysis. http://addictedtor.free.fr/graphiques/graphcode.php?graph=114 Regards Frank Peter

....1 OS: Win2000 Submission from: (NULL) (203.25.148.63) When using read.table to read a data file section by section, I get an error that indicates R is attempting to read more "fields" than exist. The Data file looks like this: ---Start of file tmp.txt----------- Response Types = TPos TNeg FPos FNeg Anti Post MaxO Test ID,Username,Start Date,Mean,Std Dev,Accuracy,SRT1_1,SRT1_1_TYPE,SRT1_2,SRT1_2_TYPE,SRT1_3,SRT1_3_TYPE,SRT1_4,SRT1_4_TYPE,SRT1_5,SRT1_5_TYPE,SRT1_6,SRT1_6_TYPE,SRT1_7,SRT1_7_TYPE,SRT1_8,SRT1_8_TYPE,SRT1_9,SRT1_9_TYPE,SRT1_10,SRT1_10_TYPE,SRT1_11,SRT1_11_TYPE,SRT1_12,S...

Dear R-experts! I am working on some meta-analysis using the metafor package. I would like to extract values of the confidence intervals of the effect sizes of the single studies from an rma object. Those values are printed out when plotting a forest plot using the forest function on the rma object, however I was not able to locate them. Many thanks for your help! Jokel [[alternative HTML

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

Dear All, As an attempt to highlight the overall pattern in a Forest plot, I would like to "highlight" the area around HR=1. I cannot find any simple tools for painting a grey ribbon between 0.9 and 1.1. Any suggestions? Thank you in advance! Cheers, Patrik [[alternative HTML version deleted]]

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

Hello metafor users, I'm using metafor to perform a single-effect summary estimate of the raw proportion of patients experiencing a post-operative complication, and I'm interested in seeing if this proportion differs between the three most commonly used surgical techniques. The software is working as expected, but I would like to double check on the interpretation of my mixed-effect model

I am using metafor to create forest plots. This code gives me the expected plot (setting x axis tick marks): forest(forest$OR, ci.lb=forest$Low, ci.ub=forest$High, at=log(c(.05, .25, 1, 10)), slab=forest$SNP, atransf=exp) As does this (setting colors): forest(forest$OR, ci.lb=forest$Low, ci.ub=forest$High, col=c(1,2,3), slab=forest$SNP, atransf=exp) But if I try to set both 'at' and

Hi List, This is somewhat off-topic since the problem itself isn?t asterisk but the Ericsson BP250 I want to connect to. But since there have been a couple of posts relating in part to that system I am hoping someone can help me out. What we want to do: PRI <---> BP250 <---> Asterisk Currently the BP250 handles extension 000 - 899. We now would like to forward a chunk of 100