venn-diagram

I am trying to put two Venn diagrams in one single graph, i.e. I am using par(mfrow=c(1,2)) at the very beginning. However, when I use the Venn() function in the Vennerable package: VennCompare = Venn(SetNames = c("A", "B", "C"), Weight = c(0, 38, 1, 0, 1, 80, 0, 14)) pdf(file="Venn.pdf", width=12, height=6) par(mfrow=c(1,2)) plot(VennCompare, doWeights=FALSE) plot(VennCompare, doWeights=TRUE, show = list(SetLabels = TRUE, Faces = FALSE)) dev.off() The resultant pdf file contains 2 pages, and each page has a single Venn diagram. How can I put the two diagrams into a single page (i.e. side-by

Does anyone know how to get the R package VennDiagram to scale the circles of a Venn diagram containing 3 intersecting sets according to set size? I can achieve such scaling with the venneular package, but I find this a bit limited in terms of other graphical options compared to VennDiagram. The VennDiagram package documentation suggests setting the argument 'scaled' to TRUE ought to do the trick, but I find this produces 3 circles of equal size. The package documentation does cryptically suggest that the scaled argument may only work for certain diagrams: ?draw.triple.venn reveals: scaled:

I have used the recipe given here with a lot of success. However, for past few days this does not seem to work. My sessionInfo() looks as follows: R version 2.15.2 (2012-10-26) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] grid stats graphics grDevices utils datasets methods base other attached packages: [1] VennDiagram_1.5.1 loaded via a namespace (and not attached): [1] tools_2.15.2 I tried the following, and did not produce any result: require(VennDiagram) venn.diagram(list(B = 1:1800,

I want to plot variables that belongs to certain groups. Say that I have 6 variables that I want to sort into these 3 groups and plot like a venn diagram. I would like to annotate the variable names into the three bubbles. In this simple example we could say that 1 variable is in group 1, 3 variables in group 2 and 2 variables in group 3. Could anyone help me with a simple example of how to do it in matplotlib? There is a beautiful Venn diagram add-on for matplotlib called matplotlib-venn . It looks like it can be completely customized to do what you are looking for, from the size of the

I've been trying to understand the concept of sql joins fully, venn diagrams have helped me a lot to do that. I've found them for all kind of joins but not for natural joins. How would a venn diagram for a natural join look like? Venn diagrams are not very helpful for understanding natural join or inner join. Most Venn diagrams associated with joins on Stack Overflow are parroted worthless misrepresentations--even in cases where a Venn diagram could be useful. Here are some valid uses of Venn diagrams for SQL natural join: If you ignore column order, we can have an area be a set whose elements

I need to plot area proportional Venn Diagrams with at least 5 variables. I tried to install Vennerable package but its just not available anymore. Link to windows build doesn't work (page not found) . Is there an alternative package? The source files, last updated in 2007, are downloadable from Sourceforge as a tar.gz file: http://sourceforge.net/projects/vennerable/files/R%20Source%20package/1.1.1.1/Vennerable_1.1.1.1.tar.gz/download Better yet, what appears to be more updated ( Edit: and broken) source files, last updated in 2009, can be checked out from R-Forge using SVN: svn checkout svn:

I have two character vectors of IDs. I would like to compare the two character vectors, in particular I am interested in the following figures: How many IDs are both in A and B How many IDs are in A but not in B How many IDs are in B but not in A I would also love to draw a Venn diagram. Here are some basics to try out: > A = c("Dog", "Cat", "Mouse") > B = c("Tiger","Lion","Cat") > A %in% B [1] FALSE TRUE FALSE > intersect(A,B) [1] "Cat" > setdiff(A,B) [1] "Dog" "Mouse" > setdiff(B,A) [1] "Tiger" "Lion" Similarly, you could get counts simply as: > length(intersect(A,B)) [1] 1 > length(setdiff