similar to: Fwd: ForestPlot or similar

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:

Hi All, I have been able to modify the x-axis to start at 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

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;90]",

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 basic plot to make a forestplot with only a median (or mean) and

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="letter", width=6, height=9)

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, 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

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]]

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) Now I am trying to modify the text font size for

Dear R-users I want to save a list with characters a point plot and a Venn diagram in a single pdf page. I am successful to do this when I use a character list and two point plots. However when I try to replace the first point plots with my Venn diagram (built with Vennerable package, compute.Venn() and plot.Venn()) the Venn plot will not position at the right place in the pdf. I guess there

Dear R users, I am trying to do the forest plot follow the function given on web. However, the order of the tests has been sorted alphabetically. I would prefer keeping the order as data frame input so that I can group and compare (from the graph) the target immune NS1, IgG and IgM (where SD, BioRad, Pb etc are the brand names) > d x y ylo yhi SD.NS1

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

Dear all, I would like to draw three forest plots to represent 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

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<-

Hello, I have a 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

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

I'm running "R CMD check" for 600+ of the packages that depend on survival, and at the end look for ??? grep Status *.Rcheck/00check.log? | grep ERROR to find any that failed.?? But by accident I just looked at the log for the Greg package, which finishes with the lines found below.? Is the final note of WARNING rather than ERROR on purpose, or an error??? If the former, will

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 in