Density

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Density 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/density?lang=en

The kernel density map is a graph used to observe the distribution of continuous variables.

Setup

  • System Requirements: Cross-platform (Linux/MacOS/Windows)

  • Programming language: R

  • Dependent packages: ggplot2; ggthemes

# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("ggthemes", quietly = TRUE)) {
  install.packages("ggthemes")
}

# Load packages
library(ggplot2)
library(ggthemes)

Data Preparation

# Load data
data <- read.delim("files/Hiplot/040-density-data.txt", header = T)

# convert data structure
data[,2] <- factor(data[,2], levels = unique(data[,2]))

# View data
head(data)
  Value Group2
1   4.2 treat1
2  11.5 treat1
3   7.3 treat1
4   5.8 treat1
5   6.4 treat1
6  10.0 treat1

Visualization

# Density
data["group_add_by_code"] <- "g1"

p <- ggplot(data, aes_(as.name(colnames(data[1])))) +
  geom_density(col = "white", alpha = 0.85,
               aes_(fill = as.name(colnames(data[2])))) +
  ggtitle("") +
  scale_fill_manual(values = c("#e04d39","#5bbad6")) +
  theme_stata() +
  theme(text = element_text(family = "Arial"),
        plot.title = element_text(size = 12,hjust = 0.5),
        axis.title = element_text(size = 12),
        axis.text = element_text(size = 10),
        axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
        legend.position = "right",
        legend.direction = "vertical",
        legend.title = element_text(size = 10),
        legend.text = element_text(size = 10))

p
FigureΒ 1: Density