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] | ||
= | = venn = | ||
* [https://cran.r-project.org/web/packages/venn/index.html venn] package (best so far) | |||
< | * [https://statisticsglobe.com/venn-r-package Introduction to the venn Package in R (6 Examples) | How to Draw Up to 7 Sets] | ||
library( | <pre> | ||
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) | |||
</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 = | ||
<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] | |||
<li>Example from the help | <li>Example from the help | ||
<pre> | <pre> | ||
Line 68: | Line 80: | ||
<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 | ||
Revision as of 14:27, 23 April 2024
Misc
- 2014 Paper eulerAPE: Drawing Area-Proportional 3-Venn Diagrams Using Ellipses which includes an overview of several tools. The paper is linked from the website https://upset.app.
- Visualization biological data using proportional venn diagrams
- VENN DIAGRAM WITH R OR RSTUDIO: A MILLION WAYS
- 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)
UpSet plot
- https://upset.app/
- UpSetR
- ComplexUpset: Create Complex UpSet Plots Using 'ggplot2' Components
- Chapter 8 UpSet plot
venn
- venn package (best so far)
- Introduction to the venn Package in R (6 Examples) | How to Draw Up to 7 Sets
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.
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
- 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
- Make Venn Diagram in R with Correctly Weighted Areas
- Venn Diagrams with R
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("graph") BiocManager::install("RBGL") # fail on Rstudio cloud install.packages("Vennerable", repos="http://R-Forge.R-project.org")
limma
- https://rdrr.io/bioc/limma/man/venn.html
- User guide. Only black and white.
eulerr
eulerr package