超多类别！这个相关性矩阵绘制工具绝了！

DataCharm

发布于 2022-05-24 16:08:47

6510

发布于 2022-05-24 16:08:47

文章被收录于专栏：数据学术商业新闻

这一段时间在交流群里发现好多同学讨论相关性矩阵图(correlation matrix),小编今天就给大家带来一篇相关内容的推文，包括各种相关性矩阵图类型的绘制，具体内容如下：

R-corrplot包介绍
R-corrplot包样例介绍

R-corrplot包介绍

R-corrplot包为R语言中专门绘制相关性矩阵的可视化工具包，其可绘制多种相关性矩阵图，corrplot包使用方便，且在可视化方法、图形布局、颜色、图例、文本标签等方面提供了丰富的绘图选项。关键还提供 p值和置信区间，以帮助用户确定相关性的统计显着性。更多关于此包的介绍可参考链接：corrplot官网[1]

R-corrplot包样例介绍

R-corrplot包提供了多个可视化样例，下面小编就依次给大家列举一下：

样例一

library(corrplot)
M = cor(mtcars)
corrplot(M, method = 'number') # colorful number

example01 of corrplot

样例二

corrplot(M, method = 'color', order = 'alphabet')

example02 of corrplot

corrplot(M, order = 'AOE') # after 'AOE' reorder

example03 of corrplot

样例三

corrplot(M, method = 'square', order = 'FPC', type = 'lower', diag = FALSE)

example04 of corrplot

corrplot(M, method = 'ellipse', order = 'AOE', type = 'upper')

example05 of corrplot

样例四

corrplot(M, method = 'square', diag = FALSE, order = 'hclust',
         addrect = 3, rect.col = 'blue', rect.lwd = 3, tl.pos = 'd')

example06 of corrplot

样例五

corrplot(M, order = 'AOE', addCoef.col = 'black', tl.pos = 'd',
         cl.pos = 'n', col = COL2('PiYG'))

example07 of corrplot

样例六

## add significant level stars and cluster rectangles
corrplot(M, p.mat = testRes$p, tl.pos = 'd', order = 'hclust', addrect = 2,
         insig = 'label_sig', sig.level = c(0.001, 0.01, 0.05),
         pch.cex = 0.9, pch.col = 'grey20')

example08 of corrplot

样例七

# Visualize confidence interval and cross the significant coefficients
corrplot(M, p.mat = testRes$p, lowCI = testRes$lowCI, uppCI = testRes$uppCI,
         addrect = 3, rect.col = 'navy', plotC = 'rect', cl.pos = 'n')