search for: forestplot

I know there is a function forestplot from rmeta package and also the plot.meta from the meta package and maybe others, but they are rather complicated with extra plot parameters that I do not need and also they process only objects created with other package functions. But I wonder if anyone has a much simpler function using the basi...

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]]

Dear R users, Is there any way to control the size of the box around the mean when creating a Forest plot using the forestplot function? regards Mark Mark T. Marino, MD VP, Early Clinical Development Mannkind Corp. 61 S. Paramus Road Paramus, NJ 07652 201-983-5238 Office 203-512-4008 Cell mmarino@mannkindcorp.com [[alternative HTML version deleted]]

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...

Hello R users, I would like to create several forestplots with the same X axis, so, if you were to look at the plots lined up all the X axes would be identical (and the different plots could be compared). Here is one version of code I've used: mytk10<-c(0.1, 0.5, 1, 2, 5, 10) pdf(file = "myfile.pdf", pointsize = 7, paper="let...

> From: Abhijit Dasgupta <adasgupta@araastat.com> > Date: October 31, 2010 1:30:02 AM EDT > To: Matt Shotwell <shotwelm@musc.edu> > Subject: Re: [R] ForestPlot or similar > > I just did something very similar using ggplot's pointrange geom. In the following, I'm plotting hazard ratios, for which the nominal value is 1 and not 0. x has 5 columns: drug, hr, hr.lcb, hr.ucb, and group, and I'm faceting by group. If you want the plots horiz...

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: for...

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...

Hi, How is the combined value (displayed by a diamond on the forest plot) of a meta-analysis illustrated by a forest plot calculated? The applied method and all calculation details are welcome. Thanks Carol [[alternative HTML version deleted]]

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]))

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

...esent results at years 1, 2 and 3. I have the data as point estimates and 95% confidence intervals. Using the following code I can get three basic forest plots - the first which has the table of results. I have to plot each separately as the usual par(mfrow=c(3,1)) does not work with the function forestplot within rmeta. I can easily put them next to one another within powerpoint or similar though so that's not a problem. #Read data in dattabrem1 <- read.table("risk factors rem1.txt",header=TRUE) # year 1 results dattabrem2 <- read.table("risk factors rem2.txt",header=TR...

...zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any help. Gerard Slightly modified working function with data and a call follows: fplot=function (labeltext, mean, lower, upper, align = NULL, is.summary = FALSE, clip = c(-Inf, Inf), xlab = "", zero = 1, graphwidth = unit(3,"inches"), co...

Hello All, I am having a problem creating text for my forest plot using the "forestplot" function in the rmeta package. I think my problem is that I have too many columns of text, so I was wondering if there is a way to shrink my text or to change the default setting. Here is an example: #### forest_mean<- as.numeric(c(NA, 1.00, 2.00, NA, 0.75, 1.10)) forest_lower<- as.nu...

...data with following 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.matri...

...t 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 think the confidence intervals shown might be simply 1.96 x SE or 2 x SE. Is there a way to get meta plot to show the proper 95% CIs for the ORs? I have tried forestplot, but am having a lot of issues trying to get the columns to line up correctly, and in labeltext, it doesn't see to want to read the values I'm listing for the names of the studies. All I get are a changing list of numbers. [As a note, since the studies I'm meta-analysing use multi-leve...

...the former, will adding a search for "Quitting from" suffice? By the way, the failure shown was an (uncaught) bug in cox.zph wrt putting dimnames on one of the result matrices. Terry T ---------------------- --- re-building ?timeSplitter.Rmd? using rmarkdown Loading required package: forestplot Loading required package: grid Loading required package: checkmate Loading required package: Gmisc Loading required package: Rcpp Loading required package: htmlTable Attaching package: 'dplyr' The following objects are masked from 'package:stats': ??? filter, lag The following...

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

OK - I've been doing some work on getting a forest plot or two together for a sub-group analaysis. Thats the crucial thing - because its a sub-group analysis rather than a meta-analsysis and all the forest (meta) and forestplot (rmeta) instructions assume you are doing a meta-analysis. I found rmeta didn't play nicely for me so I'm using the meta package with forest. Here's some code that would allow you to reproduce it: library(meta) mydata.forest.DoseRed = data.frame(c(1,7,14,6,16), c(7,21,10,15,23), c(1,...

Hi All, I am trying to combine two forest plots on the same page using the "forestplot" function in the rmeta package. Once I use the par() function to combine my plots on the same page, I find that my two plots are overlaying each other. Does anyone have any suggestions on how to fix this? Thanks! ________________________________ PHRI DISCLAIMER This information is directed...