search for: rmeta

Dear all, I could not draw a forest plot for meta-analysis under ramdon models using the rmeta package. The rmeta has a default function for MH (fixed-effect) model. Has the rmeta package been updated for such a function? Or someone revised it and kept a private code? I would appreciate it if you could provide some information on this question. Thanks, Andrew This email is intended...

Der useRs, I'm working 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...

Hi, I have a problem with the metaplot-function in rmeta. After plotting a Forest Plot with "metaplot", no y-axis is shown for normal plots anymore. Does someone know, why this is and how I can solve it? Thank you in advance! Kind regards, Roman -- View this message in context: http://www.nabble.com/metaplot-in-rmeta%3A-y-axis-disappears-t...

...owing format:      Predictors          n11     n12     n21     n22     Odds.Ratio    log.ratio    se.log.odds. 1 ProcOR respirato     2 ProcVaric vein      3 DiagCardiac anom   4 DiagAllergy        5  DiagOth skin dx    6    DiagGastritis          I want to plot odds ratio by command: forestplot in rmeta library, but I get the following error constantly.  Error in apply(is.na(labeltext), 1, any) :    dim(X) must have a positive length I understood, I need to compute for CI for odds ratio which I have, but I don't know how to apply odds.ratio in this form. When I put odds.ratio=as.matrix(odds.ra...

Hello! I have some data stored into 2 separate csv file. 1 file (called A.csv) (12 results named Group1, Group2, Group3, etc...) odds ratios, 2 file (called B.csv) 12 corresponded errors. How to import that data into R and make forest plot like I saw inside help file Rmeta and meta with included different font colors and names trough X and Y axis. I know for meta libb ... out <- metagen(name1,name2) plot(out,xlab="abcd") .... But I need for my data to look like this? (copy from help file rmeta) library(rmeta) op <- par(lend="square", no....

Dear R users, I'm trying figuring out with forest plot and rmeta. Here's my code... library(rmeta) tabletext <- structure(c("", NA, "Sex", "[F]", "[M]", NA, "Age class", "(0,60]", "(60,80]", NA, "Karnofsky class", "[70;...

Dear R-list, I'd like to do a meta-analysis plot similar to install.packages('rmeta') require(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) plot(a) (see attached file) by using my own OR (Odds Ratio) and 95% Confidence Interval data set, which looks like mydat...

Dear R users, I am trying to create a forest plot with a table of text using the forestplot() function in the rmeta package. I have been trying to reduce the font size of the resulting table of text, but have not been successful. I have tried adding options like 'cex' or 'font' but none of them seem to work. Is there anything I could do? This is what I have so far: forestplot(tabletext,m,l,u,...

All, I am using the forestplot function in rmeta. I was able to modify the x axis range by commenting out one line and feeding it two new parameters (I wanted to set zero as the axis start point). #xrange <- c(max(min(lower, na.rm = TRUE), clip[1]), min(max(upper, na.rm = TRUE), clip[2])) #new line xrange <- c(xlow,xhigh...

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 B...

Hello I'm trying to plot hazard risk values using the function metaplot with the specifications: > metaplot(HR,SE,W,labels=row.names(lc),xlab="Hazard Ratio",ylab="Covariates", logeffect=TRUE,logticks=FALSE,colors=meta.colors(box="black",lines="dark gray",zero="darkgray"),cex=1.5,cex.lab=1.5,font=3) However, in the plot the x axis

Dear R users, I would like to adjust the x axis the way I wanted using "forestplot(labeltext, mean, lower, upper, align = NULL, xlab = "", zero = 0, graphwidth = unit(2, "inches"), col = meta.colors(), xlog = FALSE)". I tried using xaxt="n" and then redefine the axis using axis(1, at=c(0,0.5,1.0 ,1.5,2.0,2.5),label=c(0,0.5,1.0,1.5,2.0,2.5)), but it

Hi, It is known that the area of square plotted by forestplot is proportional to the studies' weights. But since there is not weight parameter in forestplot function, how does this function proportion the area of each square based on the related study's weight? Look forward to your reply, Carol [[alternative HTML version deleted]]

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

Hi, can you tel me how can I make a Forrest Plot with R? It is possible and easy or are there a more practical free software available? Than you Mic [[alternative HTML version deleted]]

...ldn't find any helpful information on this elswhere. In the R FAQ, version 1.8-1, there is a section "5.2 How can add-on packages be installed?", but it only gives information for Unix users. How can I install an add-on package under Windows? (Specifically, I have downloaded the "rmeta" package from CRAN.) Thanks for your help! Christian

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 e...

Dear R-lister, is there any function for Meta Analysis in R? (like homogeneity an, risk differences, relative riskm amd odds ratios? Many thanks, Edwin

Hello everyone, I want to do a meta-analysis of case-control studies on which an OR was computed based on a continuous exposure. I have found several several packages (metafor, rmeta, meta) but unless I misunderstood their main functions, it seems to me that they focus on two-group comparisons (binary independent variable), and do not have the option of using a continuous independent variable. If this is right, do you have any suggestions for a meta-analysis with continuous...

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)? Thank you! [[alternative HTML version deleted]]