Venn diagram: Difference between revisions

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* [https://jokergoo.github.io/ComplexHeatmap-reference/book/upset-plot.html Chapter 8 UpSet plot]
* [https://jokergoo.github.io/ComplexHeatmap-reference/book/upset-plot.html Chapter 8 UpSet plot]


= ggvenn =
= venn =
ggvenn package (best so far)
* [https://cran.r-project.org/web/packages/venn/index.html venn] package (best so far)
<syntaxhighlight lang='rsplus'>
** [https://github.com/dusadrian/venn/blob/master/R/plotRules.R#L209 polygon()] function call.
library(ggvenn)
* [https://statisticsglobe.com/venn-r-package Introduction to the venn Package in R (6 Examples) | How to Draw Up to 7 Sets]
ggvenn(list(A = 1:150, B = 121:170, C=141:200),  
<pre>
        fill_color = c("#0073C2FF", "#CD534CFF", "#EFC000FF")) # looks normal
library(venn)
</syntaxhighlight>
set.seed(12345)
x <- list(First = 1:40, Second = 15:60, Third = sample(25:50, 25),  
          Fourth=sample(15:65, 35))
venn(x, ilabels = "counts", zcolor = "style", ilcs = 1.2, sncs = 1)
</pre>
In this example, '''ilcs''' and '''sncs''' will control the font size of the '''intersection labels''' and '''set names''', respectively.
 
[[File:Venn4.png|200px]]
 
== ggVennDiagram ==
https://cloud.r-project.org/web/packages/ggVennDiagram/index.html, [https://gaospecial.github.io/ggVennDiagram/ github].
 
Cons: there is no way to have multiple colors for different sets.


= VennDiagram =
= VennDiagram =
[https://cran.r-project.org/web/packages/VennDiagram/ VennDiagram] - input has to be the numbers instead of the original vector?
<ul>
<ul>
<li>[https://cran.r-project.org/web/packages/VennDiagram/ VennDiagram]. As good as the "venn" package. Many reverse imports and suggests.
<li>[https://www.datanovia.com/en/blog/venn-diagram-with-r-or-rstudio-a-million-ways/#using-the-venndiagram-r-package Venn Diagram with R or RStudio: A Million Ways]. Question: why the sets orders are changed?
<li>Example from the help
<li>Example from the help
<pre>
<pre>
Line 68: Line 81:
<li>And a [https://stackoverflow.com/a/11935618 trick] to make scaling works. </li>
<li>And a [https://stackoverflow.com/a/11935618 trick] to make scaling works. </li>
</ul>
</ul>
= ggvenn =
ggvenn package
<syntaxhighlight lang='rsplus'>
library(ggvenn)
ggvenn(list(A = 1:150, B = 121:170, C=141:200),
        fill_color = c("#0073C2FF", "#CD534CFF", "#EFC000FF")) # looks normal
</syntaxhighlight>
Cons: The generated plot looks good. But the locations of set labels are weird and not adjustable.


= gplots =
= gplots =
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= eulerr =
= eulerr =
[https://cran.r-project.org/web/packages/eulerr/index.html eulerr] package
[https://cran.r-project.org/web/packages/eulerr/index.html eulerr] package
= venn =
[https://cran.r-project.org/web/packages/venn/index.html venn] package
= ggVennDiagram =
https://cloud.r-project.org/web/packages/ggVennDiagram/index.html

Revision as of 17:39, 23 April 2024

Misc

  • http://manuals.bioinformatics.ucr.edu/home/R_BioCondManual#TOC-Venn-Diagrams and the R code or the Bioc package systemPipeR
    # systemPipeR package method
    library(systemPipeR)
    setlist <- list(A=sample(letters, 18), B=sample(letters, 16), C=sample(letters, 20), D=sample(letters, 22), E=sample(letters, 18)) 
    OLlist <- overLapper(setlist[1:3], type="vennsets")
    vennPlot(list(OLlist))                             
    
    # R script source method
    source("http://faculty.ucr.edu/~tgirke/Documents/R_BioCond/My_R_Scripts/overLapper.R") 
    setlist <- list(A=sample(letters, 18), B=sample(letters, 16), C=sample(letters, 20), D=sample(letters, 22), E=sample(letters, 18)) 
    # or (obtained by dput(setlist))
    setlist <- structure(list(A = c("o", "h", "u", "p", "i", "s", "a", "w", 
    "b", "z", "n", "c", "k", "j", "y", "m", "t", "q"), B = c("h", 
    "r", "x", "y", "b", "t", "d", "o", "m", "q", "g", "v", "c", "u", 
    "f", "z"), C = c("b", "e", "t", "u", "s", "j", "o", "k", "d", 
    "l", "g", "i", "w", "n", "p", "a", "y", "x", "m", "z"), D = c("f", 
    "g", "b", "k", "j", "m", "e", "q", "i", "d", "o", "l", "c", "t", 
    "x", "r", "s", "u", "w", "a", "z", "n"), E = c("u", "w", "o", 
    "k", "n", "h", "p", "z", "l", "m", "r", "d", "q", "s", "x", "b", 
    "v", "t"), F = c("o", "j", "r", "c", "l", "l", "u", "b", "f", 
    "d", "u", "m", "y", "t", "y", "s", "a", "g", "t", "m", "x", "m"
    )), .Names = c("A", "B", "C", "D", "E", "F"))
    
    OLlist <- overLapper(setlist[1:3], type="vennsets")
    counts <- list(sapply(OLlist$Venn_List, length))  
    vennPlot(counts=counts)                           
    

    File:Vennplot.png

UpSet plot

venn

library(venn)
set.seed(12345)
x <- list(First = 1:40, Second = 15:60, Third = sample(25:50, 25), 
          Fourth=sample(15:65, 35))
venn(x, ilabels = "counts", zcolor = "style", ilcs = 1.2, sncs = 1)

In this example, ilcs and sncs will control the font size of the intersection labels and set names, respectively.

Venn4.png

ggVennDiagram

https://cloud.r-project.org/web/packages/ggVennDiagram/index.html, github.

Cons: there is no way to have multiple colors for different sets.

VennDiagram

  • VennDiagram. As good as the "venn" package. Many reverse imports and suggests.
  • Venn Diagram with R or RStudio: A Million Ways. Question: why the sets orders are changed?
  • Example from the help
    grid.newpage()
    grid.draw(venn.diagram(list(A = 1:150, B = 121:170), NULL) )
    grid.newpage()
    grid.draw(venn.diagram(list(A = 1:150, B = 121:170, C=141:200), NULL, 
                            category.names = c("Set 1" , "Set 2 ", "Set 3"), 
                            fill = c("#0073C2FF", "#CD534CFF", "#EFC000FF")) ) # weird
    
  • VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R. scaling is one option.
  • https://www.r-graph-gallery.com/venn-diagram.html
  • And a trick to make scaling works.

ggvenn

ggvenn package

library(ggvenn)
ggvenn(list(A = 1:150, B = 121:170, C=141:200), 
         fill_color = c("#0073C2FF", "#CD534CFF", "#EFC000FF")) # looks normal

Cons: The generated plot looks good. But the locations of set labels are weird and not adjustable.

gplots

black and white?

gplots::venn(list(A = 1:150, B = 121:170, C=141:200))

Vennerable

Vennerable package https://github.com/js229/Vennerable

limma

eulerr

eulerr package