similar to: forrest plot

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Hello, I write to know how can I modify the x axis : when I plot a survival object, R plots a graph with x values = 0, 10, 20, 30 while I want a graph with values 0, 6, 12, 18, 24 in the x axis. How can I do this? In R 2.1.1 version there was "time.inc" in survplot, but in version R 2.2.0 there isn't it! I am sorry for my english and I hope that you understand my problem. Thank you

Hello, I write to know how can I modify the x axis : when I plot a survival object, R plots a graph with x values = 0, 10, 20, 30 while I want a graph with values 0, 6, 12, 18, 24 in the x axis. How can I do this? In R 2.1.1 version there was "time.inc" in survplot, but in version R 2.2.0 there isn't it! I am sorry for my english and I hope that you understand my problem. Thank you

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 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

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'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 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

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

Dear all, I have a four variable: Stuy.Name, OR, 95%LCI and 95%UCI and I would like to create a meta analysis plot. I can't use meta.MH function in metaplot because I do not have n.trt, n.ctrl, col.trt, col.ctrl are not available! Is there an alternative way to do it? Many thanks in advance, Cheba [[alternative HTML version deleted]]

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

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 <-

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,

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

Has anyone developed a function to generate a forest plot, the one used a lot in meta-analysis? Joseph F. Lucke, PhD Biostatistician Center for Clinical Research and Evidence-based Medicine Department of Pediatrics School of Medicine University of Texas Health Science Center at Houston Voice: 713-500-5651 Email: Joseph.F.Lucke@uth.tmc.edu Postal Mail: PO Box 20708, Houston, TX 77225-0708

Hi, I have the following table of odds ratios (or), lower limits(ll) and upper limits(ul), which I would like to plot as horizontal lines beginning at the lower limit, ending at the upper limits and with a dot at the odds ratio on an x-axis on a log10 scale. The y axis would be the study sites. >From what I can figure out, it looks like the plotCI function will do everything except give me an

Nope. Random forests are not decision trees -- they are ensembles (forests) of trees. You need to go back and read up on them so you understand how they work. The Hastie/Tibshirani/Friedman "The Elements of Statistical Learning" has a nice explanation, but I'm sure there are lots of good web resources, too. Cheers, Bert Bert Gunter "The trouble with having an open mind is

Hi I'm trying to get the top decision rules from a decision tree. Eventually I will like to do this with R and Random Forrest. There has to be a way to output the decsion rules of each leaf node in an easily readable way. I am looking at the randomforrest and rpart packages and I dont see anything yet. Mike [[alternative HTML version deleted]]

My name is Michela Marignani and I'm an ecologist trying to solve a problem linked to knight' s tour algorithm. I need a program to create random matrices with presence/absence (i.e. 1,0 values), with defined colums and rows sums, to create null models for statistical comparison of species distribution phenomena. I've seen on the web many solutions of the problem, but none provides