R 如何为多个变量创建长宽格式数据的聚类图

有这样一个数据集：

data.frame(id = c(1,1,1,2,2,3) snames  = c("stockA","stockB","stockC","stockA","stockB","stockc"), var1 = c(0.13,1.2,-1.5,3.45,-0.26,-2.1), var2 = c(-2.1,2.34,3.56,-1.53,-0.48,-0.29), var3 = c(0.04,-3.45,-0.22,-0.29,1.34,0.32), var4 = c(2.14,-1.34,-4.35,-1.56,0.13,-2.35), var5 = c(1.53,1.24,-0,32,-0.3,-4.25,-2.49))

如何能够同时使用长格式和宽格式数据创建集群

有了这些数据，有没有办法将snames列的变量与var1、var2、var3、var4、var5组合在一起进行聚类，以找出在第一个集群中，哪个集群中存在类似于stockB、var2和var3的组

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我一直在编写你的代码，但你需要提供更多信息让我回答

首先，您提供的代码中有拼写错误，我在这里修复了它们

df<- data.frame(id=c(1,1,1,2,2,3),snames=c("stockA","stockB","stockC","stockA","stockB","stockC"), var1 = c(0.13,1.2,-1.5,3.45,-0.26,-2.1), var2 = c(-2.1,2.34,3.56,-1.53,-0.48,-0.29), var3 = c(0.04,-3.45,-0.22,-0.29,1.34,0.32), var4 = c(2.14,-1.34,-4.35,-1.56,0.13,-2.35), var5 = c(1.53,1.24,-0.32,-0.3,-4.25,-2.49)) # you wrote stockc and not stockC, also var5  was written -0,32, and it needs to be -0.32

dfit在此链接中