similar to: metaplot

Hello, After looking through the archive and documentation for quite some time, I'd be very happy about some help with metaplot and meta.summaries. metaplot: --------- Can I change the label size? I've got 126 values and the intersection of the labels makes it impossible to read them. Why do I have to give sumse (Standard Error) and sumnn (Precision) of the summary estimate? I can

Hello, We are looking to adjust the font size of the axis annotation on the graph that results from use of the metaplot() function. Metaplot seems to respond to cex and cex.lab to change those graphical parameters, but it doesn't respond to cex.axis. Is there a way to work around this by creating a customized x-axis, and if so, how? Thanks for all your help. Syntax is below. Best, Dawn

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-tp24917401p24917401.html Sent from the R

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$selogOR^-2,a$names, summn=a$logMH, sumse=a$selogMH,

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 <-

Hello, I'm ashamed to admit that I'm an R and meta-analysis neophyte just when my colleagues and I are attempting to run R for that latter purpose. We would like to construct a graph of the 95% confidence intervals of odds ratios (inverse odds ratios, actually). We are using the metaplot() function in the "rmeta" package. While we can construct a basic plot, we cannot configure

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

Dear all, I am new R user and I am sure that this question has been asked quite often and I have also googled it and read about it! I understood that in order to read excel sheet into R you need to open it and saved it as csv or text, is this true? or you can use read.delim2 and read.csv2 to do this without the following error > dat <- read.csv2(file="C:\\Dokumente und

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

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

Full_Name: Marketa Kylouskova Version: 1.2.1 OS: Windows Submission from: (NULL) (147.231.7.2) Hi, I believe there is a bug in the extension of wilcox.test, namely in determination of confidence intervals. I concentrated on the two-sample test only. I examined and tested its performance on this working data set: x<-rnorm(10,3,1) # So I have two samples, I will test whether

Dear R people, Is it possible to save three data sets in an R object and to call each data from this object independently! Regards, Cheba [[alternative HTML version deleted]]

Hello, I have a data set which is similar to the following data mice <- rep(letters[1:4],10) outcome <- sample(c(0,1),length(mice),replace=T) group <- c(rep("A",length(mice)/2),rep("B",length(mice)/2)) my.data <- data.frame(mice,outcome,group) my.sort.data <- my.data[order(my.data[,1]),] I would like to test wether there is a different between group A and B

Hi, I'm trying to build a Forest Plot using the second and fourth columns in the table (test.csv) below. My code is the following: curated <- data.frame("test.csv") tmp <- curated$coef tmp1 <- curated$se_coef plt <- metaplot(tmp, tmp1, xlim = c(-.45, .45)) I keep getting the following error at the last line and am not sure why: Error in if (is.na(lower[i] + upper[i]))

Hi, I am new to R. Anyone can explain the following from R-help or anyone can direct me how to calculate odds ratio from logistic model in R. Thank you very much. Guoya Stefano <stecalza at tiscalinet.it <https://stat.ethz.ch/mailman/listinfo/r-help> > writes: >Hi all. > >A simple question. >Is there a function to compute the Odds Ratio and its confidence intervall,

Dear all, What is the right test to test whether the median of two groups are statistically significant? Is it the wilcox.test, mood.test or the ks.test? In the text book I have got there is explanation for the Wilcoxon (Mann Whitney) test which tests ob the two variable are from the same population and also ks.test! Regards, Cheba [[alternative HTML version deleted]]

Hello, I am using library(gplots) to do something like data(state) x1 <- state.area/10000 x2 <- x1+round((rnorm(length(state.area),3,3))) plotmeans(x1 ~ state.region) Is it possible to plot x2 to x1 in the same graph, something like: linesmeans(x2 ~ state.region) Best wishes, Cheba [[alternative HTML version deleted]]

Dear all, I am doing library(survival) fit <- coxph(Surv(futime,fustat) ~ rx, ovarian) plot(survfit(fit,newdata=ovarian),col=c(1,2)) legend("bottomleft", legend=c("rx = 0", "rx = 1"), lty=c(1,2),col=c(1,2)) Is this correct to compare these two groups? Is the 0.31 the p-value that the median f two groups are equal Why lty does not work here? Many thanks

Hello, I have to compute the pooled z-value and I would like to know which way is more appropriate b <- c( -0.205,1.040,0.087) s <- c(0.449,0.167,0.241) n <- c(310, 342, 348) z <- b/s Z <- sum(z)/sqrt(length(n)) P <- 2*(1-pnorm(abs(Z))) P w <- sqrt(n) Zw <- sum(w * z)/sqrt(sum(w^2)) Pw <- 1 - pchisq(Zw * Zw, 1) Pw Many thanks in advance, Cheba [[alternative HTML

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a