venn-diagram

I have been requested to redo the following Venn diagram in R with Arial font and without the group names... Looking at VennDiagram manual I do not see how I can do it... This is my MWE: #install.packages("VennDiagram") library(VennDiagram) a <- c(1,2,3,4,5,6) b <- c(4,5,6,7,8,9,10,11,12) c <- c(1,2,10,11,12,5,13,14,15,16) venn.diagram(list("A" = a, "B" = b, "C" = c), fill = c("red", "blue", "green"), alpha = c(0.5, 0.5, 0.5), cat.cex = .75, cex = .75, lty =2, lwd =0.5, fontfamily ="serif", filename = "test.tiff", imagetype = "tiff", height = 3000, width = 3000, resolution = 1500, units = "px"

It is easy to the draw a Venn diagram with the following code: library(VennDiagram) set.seed(1) # For reproducibility of results xx.1 <- list(A = sample(LETTERS, 15), B = sample(LETTERS, 15), C = sample(LETTERS, 15), D = sample(LETTERS, 15)) venn.diagram(xx.1, filename ="1.tiff", height = 1000, width = 1000) But how do I figure out the items in each field? For example, I would like to know what are the two letters only found in A? EDIT : Here is my solution, it is not perfect but could give all the intersections. library(reshape) library(R.utils) ## data A <- data.frame(names = sample(LETTERS,

I have the following Venn diagrams: from matplotlib import pyplot as plt from matplotlib_venn import venn3, venn3_circles set1 = set(['A', 'B', 'C', 'D']) set2 = set(['B', 'C', 'D', 'E']) set3 = set(['C', 'D',' E', 'F', 'G']) venn3([set1, set2, set3], ('Set1', 'Set2', 'Set3')) That looks like this: How can I control the font size of the plot? I'd like to increase it. If out is the object returned by venn3() , the text objects are just stored as out.set_labels and out.subset_labels , so you can do: from matplotlib import pyplot as plt from matplotlib_venn import venn3, venn3_circles set1 = set(

Someone asked about overlapping subclusters in GraphViz and got the following response: Sorry, no. General subgraphs can share nodes without implying subset containment but not clusters. The problem is in the drawing. If clusters can overlap arbitrarily, drawing them becomes the problem of drawing Venn diagrams, for which there are no good algorithms. What is a formal definition or example of the "problem of drawing Venn diagrams"?, and why is it (I assume NP-complete/hard) hard ? (Extra points: Sketch a reduction to a well-known NP-complete problem) You have N points and a binary relation R

I'm using VennDiagram to illustrate the overlap between distinct sets of customers -- in total and for a particular sub-segment. The problem that I'm having is that it appears VennDiagram automatically orders the circles in the output from largest to smallest. In the two diagrams I'm creating the relative size of the two populations is flipping, so in the output the populations/colors of the diagram are reversed. I want to put these side by side in a document, and the flipping of population order makes side by side comparison a little confusing. Sample code for each is below -- is there a way

I have data which contain binary indicators for two groups, and to more groups that are nested within one of the first two groups. For example: set.seed(1) df <- data.frame(a=rep(0,10),b=rep(0,10),b.1=rep(0,10),b.2=rep(0,10)) df$a[sample(10,5,replace=F)] <- 1 df$b[sample(10,5,replace=F)] <- 1 df$b.1[sample(which(df$b==1),3,replace=F)] <- 1 df$b.2[sample(which(df$b==1),3,replace=F)] <- 1 df <- df[which(rowSums(df)==0),] a and b are the two groups and b.1 and b.2 are nested within group b . What I'd like to do is draw one venn diagram of all groups. This means that b.1 and b.2 will be

I use VennDiagram to make a venn diagram with the following example code: library(VennDiagram) venn.diagram(list(shams_90d = 1:3, shams_90d_4h = 2:4, sham3__shams_90d = 3:5, sham3_90d__shams = 5:7, sham3_90d__shams_4h = 6:9), fill = c("red", "green", "blue", "yellow", "purple"), alpha = c(0.5, 0.5,0.5, 0.5, 0.5), cex = 1,cat.fontface = 2, lty =1, filename = "trial2.emf"); Which gives this figure: The names on the left and right of the figure are cut off, and a little bit of the name at the bottom as well. I tried changing width, but that makes the venn diagram itself get wider, and the names