Running examples in ‘venn-Ex.R’ failed
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> ### Name: venn
> ### Title: Draw and display a Venn diagram
> ### Aliases: venn
> ### Keywords: functions
> 
> ### ** Examples
> 
> 
> # A simple Venn diagram with 3 sets
> venn(3)
> 
> # display the first whole set
> venn("1--")
> 
> # an equivalent command, from all intersections
> venn("100, 110, 101, 111")
> 
> # adding the labels for the intersections
> venn("1--", ilabels = TRUE)
> 
> # using different parameters for the borders
> venn(4, lty = 5, col = "navyblue")
> 
> # using ellipses
> venn(4, lty = 5, col = "navyblue", ellipse = TRUE)
> 
> # a 5 sets Venn diagram
> venn(5)
> 
> # a 5 sets Venn diagram using ellipses
> venn(5, ellipse = TRUE)
> 
> # a 5 sets Venn diagram with intersection labels
> venn(5, ilabels = TRUE)
> 
> # and a predefined color style
> venn(5, ilabels = TRUE, zcolor = "style")
> 
> # a union of two sets
> venn("1---- + ----1")
> 
> # with different colors
> venn("1---- , ----1", zcolor = "red, blue")
> 
> # same colors for the borders
> venn("1---- , ----1", zcolor = "red, blue", col = "red, blue")
> 
> # 6 sets diagram
> venn(6)
> 
> # 7 sets "Adelaide"
> venn(7)
> 
> 
> # artistic version
> venn(c("1000000", "0100000", "0010000", "0001000",
+        "0000100", "0000010", "0000001", "1111111"))
> 
> # without all borders
> venn(c("1000000", "0100000", "0010000", "0001000",
+        "0000100", "0000010", "0000001", "1111111"),
+      borders = FALSE)
> 
> # when x is a list
> set.seed(12345)
> x <- list(First = 1:20, Second = 10:30, Third = sample(25:50, 15))
> venn(x)
> 
> # when x is a dataframe
> set.seed(12345)
> x <- as.data.frame(matrix(sample(0:1, 150, replace=TRUE), ncol=5))
> venn(x)
> 
> 
> # using sum of products notation
> venn("A + Bc", snames = "A,B,C,D")
> 
> # the union of two sets, example from above
> venn("A + E", snames = "A,B,C,D,E", zcol = "red, blue")
> 
> 
> 
> # produce Venn diagrams for QCA objects
> 
> library(QCA)

To cite this package in publications, please use:
  Dusa, Adrian (2019) QCA with R. A Comprehensive Resource.
  Springer International Publishing.

To run the graphical user interface, use: runGUI()


> 
> data(CVF)
> obj <- truthTable(CVF, "PROTEST", incl.cut = 0.85)
> 
> venn(obj)
> 
> 
> # to set opacity based on inclusion scores
> # (less inclusion, more transparent)
> 
> venn(obj, opacity = obj$tt$incl)
> 
> 
> # custom labels for intersections
> 
> pCVF <- minimize(obj, include = "?")