R语言绘图数据可视化Ridgeline plot山脊图画法
<div id="navCategory"><h5 class="catalogue">目录</h5><ul class="first_class_ul"><li>Step1. 绘图数据的准备</li><li>Step2. 绘图数据的读取</li><li>Step3. 绘图所需package的安装、调用</li><li>Step4. 绘图</li><ul class="second_class_ul"><li>调整透明度</li><li>更改顺序</li><li>更改线条形状</li></ul></ul></div><p>今天给大家介绍一下Ridgeline plot（山脊图）的画法。</p><p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160321.png" /></p>
<p>作图数据如下：</p>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160422.png" /></p>
<p class="maodian"></p><h2>Step1. 绘图数据的准备</h2>
<p>首先要把你想要绘图的数据调整成R语言可以识别的格式，建议大家在excel中保存成csv格式。</p>
<p class="maodian"></p><h2>Step2. 绘图数据的读取</h2>
<div class="jb51code"><pre class="brush:ruby;">data<-read.csv(“your file path”, header = T)
#注释：header=T表示数据中的第一行是列名，如果没有列名就用header=F
</pre></div>
<p class="maodian"></p><h2>Step3. 绘图所需package的安装、调用</h2>
<div class="jb51code"><pre class="brush:ruby;">library(reshape2)
library(ggplot2)
library(ggridges)
# 注释：package使用之前需要调用
# 今天要用到geom_density_ridges()函数需要调用ggridges包
# 直接用install.packages(ggridges)可以安装
</pre></div>
<p class="maodian"></p><h2>Step4. 绘图</h2>
<div class="jb51code"><pre class="brush:ruby;">ggplot(data_melt, aes(x = value , y = variable , fill = variable)) +
geom_density_ridges() +
theme_ridges() +
theme(legend.position = "none")
</pre></div>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160423.png" /></p>
<p class="maodian"></p><h3>调整透明度</h3>
<div class="jb51code"><pre class="brush:ruby;">ggplot(data_melt, aes(x = value , y = variable , fill = variable)) +
geom_density_ridges(alpha = 0.5) +
theme_ridges() +
theme(legend.position = "none")
</pre></div>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160424.png" /></p>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160425.png" /></p>
<p class="maodian"></p><h3>更改顺序</h3>
<div class="jb51code"><pre class="brush:ruby;">level<-levels(data_melt$variable)
data_melt$variable<-factor(data_melt$variable, levels = rev(level))
ggplot(data_melt, aes(x = value , y = variable , fill = variable)) +
geom_density_ridges(alpha = 0.5) +
theme_ridges() +
theme(legend.position = "none")
</pre></div>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160526.png" /></p>
<p style="text-align:center"><img alt="默认顺序" src="https://img.jbzj.com/file_images/article/202202/2022021709160527.png" /></p>
<p style="text-align:center"><img alt="颠倒之后" src="https://img.jbzj.com/file_images/article/202202/2022021709160528.png" /></p>
<p class="maodian"></p><h3>更改线条形状</h3>
<div class="jb51code"><pre class="brush:ruby;">ggplot(data_melt, aes(x = value , y = variable , fill = variable)) +
geom_density_ridges(alpha = 0.5, stat="binline", bins=20) +
theme_ridges() +
theme(legend.position = "none")
</pre></div>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160529.png" /></p>
<p style="text-align:center"><img alt="" src="https://img.jbzj.com/file_images/article/202202/2022021709160630.png" /></p>
<p>以上就是R语言绘图数据可视化Ridgeline plot山脊图画法的详细内容，更多关于R语言数据可视化Ridgeline plot山脊图画法的资料请关注琼殿技术社区其它相关文章！</p>
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