similar to: forest plots in column

It seems that there is a problem in displaying subtitle in general, independently from multi-plot display. when I do plot (c(1,2,3), c(9,8,7), type = "l") title(main = "Main title", sub ="Sub title",cex.main=2, cex.sub = 2) subtitle doesn't get displayed > --- On Sat, 11/21/09, David Winsemius <dwinsemius at comcast.net> > wrote: >

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

Hi, I got problem in using title function to create a title for multiple plots presented together by par. As can be seen in the attached file, the title is displayed truncated and the subtitle doesn't get displayed. Here is the code: par(mfrow = c(1,2)) plot(c(1,2,3), c(9,8,7)) plot(c(1,2,3), c(9,8,7)) title(main = "Main title", sub ="Sub title",outer = TRUE,

Hello, Is it possible to have two meta-plots in one graph (not par(mfrow=c(2,1))? But somthing like  library(metafor)  library("igraph")    if (interactive()) {     forest(dat.Treat$RR, ci.lb=dat.Treat$lower, ci.ub=dat.Treat$upper, xlab="Relative Risk",slab=dat.Treat$ID,refline=1)     forest(dat.Control$RR, ci.lb=dat.Control$lower, ci.ub=dat.Control$upper, xlab="Relative

Hi, How to plot the same types of graphics on the same R graphic device? Suppose that we want to plot a vector y against x (using plot for instance). How is it possible to plot y against x for different values of these two vectors on the same device so that the plots could be compared? Cheers, Carol [[alternative HTML version deleted]]

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

Dear R-experts, The forest.rma() function from the metafor package creates nice forest plots for presenting the results of a meta-analysis. These plots can be annotated for e.g. giving names to the columns. E.g. as in the documentation of the package: data(dat.bcg) ### meta-analysis of the log relative risks using a random-effects model res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg,

Dear R Users, Do you know of an existing function that allows the production of sensitivity and specificity forest plots? See the following for an example:

Dear All, I made a function which gives 3 plots in one window(I used par(mfrow=c(1,3)) in the function). Using that function 3 times, I want to produce 9 plots in one window. I tried par(mfrow=c(3,1)) or par(mfrow=c(3,3)) but it didn't work. For example, pf <- function(p) { par(mfrow=c(1,3)) plot(c(p:(p+10)),c(1:11)) plot(c(p:(p+10)),c(2:12)) plot(c(p:(p+10)),c(3:13)) } p <-

Hi everyone, I am facing a problem I really do not know how to resolve about detecting significant spatial structures in a region I am studying. The study is about the Miombo forest (wooded savanna). I am working in a 10 ha permanent forest plot, where all trees are mapped and identified. I sampled 24 more or less regulately scattered plots of 25 x 25 m over the 10 ha. In each plot of 25 x 25 m

Hi All, I'm fitting a Poisson regression. And I want to plot 95% Confidence Interval of Regression Estimates. After coming back to original scale (using following formula): exponential(estimate +/- 1.96*SE), at best I can get the output in the form of estimates, lower_limit, upper_limit values. As far I know forest() in metafor package needs input in the form of estimates and their

Folks, Please help with a graphics problem, I am running R2.4.0 on Windows XP. In much earlier version of R (1.3? about December 2001) I could par(mfrow=c(1,1)) plot(1,1,xlab="X",ylab="Y") plot1<-recordPlot() plot(2,2,xlab="X2",ylab="Y2") plot2<-recordPlot() par(mfrow=c(2,1)) plot1 plot2 and produce the same effect as the following

Hi all, I was just informed that the plots in the radial.plot family in the plotrix package do not plot correctly when using mfrow or mfcol to subdivide the plot window. I found one related message, an answer from Deepayan Sarkar to a question about lattice graphics, but that shed no light on this problem. If I invoke par(mfrow=c(2,2)) and run radial.plot a few times, the plots appears in

Hi, I wanted to plot the histogram of a vector and then, plot the density function of subsets of the vector on the histogram. So I use truehist in MASS package and lines(density) as follows: length(b) = 1000 truehist(b) lines(density(b[1:100])) however the density plot of the first 100 points exceeds the max of y axis (see attached). how is it possible to make a graphics so that the density plot

Dear all, I have the following problem: I have written a function genereating to plots, eg myfunction <- (data, some.parameters) { #some calculations etc . par (mfrow=c(1,2)) plot1(......) plot2(.....) } which works fine. But for analysing several variants, I tried a slope, eg: par (mfrow=c(5,5)) for ( i in 1:10) { myfunction(data, i) } Off

Hello all, I'm plotting several graphs with a for-loop with a code: par(mfrow=c(3,4)) for(i in levels(fHCGB$code)) with(subset(fHCGB,code==i), plot(pooledPlateIntra, type="b", ylim=ylim, xlab=code, ylab="CV%")) With which I have no problems.. However I need to add lines to all of these 12 plots, but I cannot get it to work. I've tried for example par(mfrow=c(3,4))

Lattice graphics may be the answer depending on your exact problem. Here is an example of four traditional plots without space: par(mfrow=c(2,2), omi=c(.5, .5, .5, .5)) par(mar=c(0, 2, 2, 0)) plot(rnorm(10), rnorm(10), axes=FALSE) box(); axis(2); axis(3) par(mar=c(0, 0, 2, 2)) plot(rnorm(10), rnorm(10), axes=FALSE) box(); axis(3); axis(4) par(mar=c(2, 2, 0, 0)) plot(rnorm(10),

Dear R-users, I often stack plots that have the same x-axis. To save space and have the plots themselves as large as possible I like to minimize the margins between the plots to zero. I use the "mfrow" and "mar" parameters to achieve this. However, the different margin settings for the individual plots lead to the inner plots being higher than the two outer plots. To make the

Hi, What is the function for inverse normal transformation? Thanks, Carol [[alternative HTML version deleted]]

I am sorry to bother the group with what is probably a simple error on my behalf as I am new to R, but I have been able to find a solution looking online or in the R forums. I have just started using R so I can use the catmap package which allows a meta analysis of both case control and TDT studies. I am using the latest windows version of R (v 2.12) and the latest version of catmap (V1.6). I