R 如何从一组现有的分组向量创建矩阵?

R 如何从一组现有的分组向量创建矩阵?,r,dataframe,matrix,statistics,data-generation,R,Dataframe,Matrix,Statistics,Data Generation,我有这样的数据: X1<-c(1,1,1,1,1,2,2,2,3,3,3,3,3) X2<-c(0,0,0,0,0,1,1,1,0,0,0,0,0) X3<-c(0.02,0.02,0.02,0.02,0.02,0.1,0.1,0.1,0.4,0.4,0.4,0.4,0.4) X1您可以使用unique(data.frame(X1,X2,X3))。对于第二种情况,不确定您的预期output@akrun谢谢我帮了忙!对于第二种情况,我不确定我是否能做这样的事情,因为我有不同的价

我有这样的数据:

X1<-c(1,1,1,1,1,2,2,2,3,3,3,3,3)
X2<-c(0,0,0,0,0,1,1,1,0,0,0,0,0)
X3<-c(0.02,0.02,0.02,0.02,0.02,0.1,0.1,0.1,0.4,0.4,0.4,0.4,0.4)

X1您可以使用
unique(data.frame(X1,X2,X3))
。对于第二种情况,不确定您的预期output@akrun谢谢我帮了忙!对于第二种情况,我不确定我是否能做这样的事情,因为我有不同的价值观?这就是为什么我对预期的输出没有预先的想象。你可以在data.frame中有一个
列表
列,即
库(dplyr);数据框(X1,X2,X3)%%>%分组依据(X1)%%>%总结(跨越(所有内容(),~list(唯一)()))
或可以使用
xtabs(X3~X1+X2)
X1<-c(1,1,1,1,1,2,2,2,3,3,3,3,3)
X2<-c(0,1,6,3,0,5,1,4,0,2,4,7,3)
X3<-c(0.02,0.04,0.01,0.09,0.02,0.1,0.2,0.1,0.4,0.6,0.2,0.1,0.4)