Flower plot

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Flower plot plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/flowerplot?lang=en

Flower plot with multiple sets.

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: flowerplot; ggplotify

# Install packages
if (!requireNamespace("fishplot", quietly = TRUE)) {
  install_github("dongwei1220/flowerplot")
}
if (!requireNamespace("ggplotify", quietly = TRUE)) {
  install.packages("ggplotify")
}

# Load packages
library(flowerplot)
library(ggplotify)

Data Preparation

# Load data
data <- read.delim("files/Hiplot/056-flowerplot-data.txt", header = T)

# View data
head(data)

     Set1   Set2  Set3  Set4   Set5    Set6   Set7     Set8
1   ZMIZ1  ADCY5  TNS1  TNS1   TNS1   ZMIZ1 SORBS1     RGS3
2    TNS1  ACTN4 ZMIZ1 ZMIZ1  ZMIZ1    TNS1   TNS1    FHOD3
3   CASZ1 SORBS1  RXRA  RXRA TSPAN9   CASZ1  ZMIZ1 PPARGC1B
4    NFIC   TNS1 AHDC1 NCOR2   MIDN    NFIC  RBM20     NNMT
5 CACNA1C  ZMIZ1 ACTN4  MIDN  NCOR2 CACNA1C TSPAN9   SORBS2
6   AHDC1  RBM20  MIDN AHDC1  AHDC1   AHDC1  SYNPO   FAM53B

Visualization

# Flower plot
p <- as.ggplot(function(){
  flowerplot(
    flower_dat = data,
    angle = 90,
    a = 0.5,
    b = 2,
    r = 1,
    ellipse_col = "RdBu",
    circle_col = "#FFFFFF",
    label_text_cex = 1
  )})

p