我有一个矩阵(expTrans),当前用零填充。我有第二个矩阵(expCoor),其中第二列填充列名称,第三列填充行号。我想使用第二个矩阵中的坐标将第一个矩阵中的一些元素更改为1。当我使用这段代码时,R将每个列中提到的每一行填充为1(列相同):
expTrans<-matrix(0, nrow(cashflows), ncol(dmat))
colnames(expTrans)<-substr(colnames(dmat),4,6)
expTrans[expCoor[,3],colnames(expenses)[expCoor[,1]]]<-1
有没有办法只更改每个坐标指定的行和列而不必遍历整个矩阵?
这是一个简单的例子来说明我在说什么:
> m<-matrix(0,ncol=10,nrow=10)
> colnames(m)<-c("a","b","c","d","e","f","g","h","i","j")
> m
a b c d e f g h i j
[1,] 0 0 0 0 0 0 0 0 0 0
[2,] 0 0 0 0 0 0 0 0 0 0
[3,] 0 0 0 0 0 0 0 0 0 0
[4,] 0 0 0 0 0 0 0 0 0 0
[5,] 0 0 0 0 0 0 0 0 0 0
[6,] 0 0 0 0 0 0 0 0 0 0
[7,] 0 0 0 0 0 0 0 0 0 0
[8,] 0 0 0 0 0 0 0 0 0 0
[9,] 0 0 0 0 0 0 0 0 0 0
[10,] 0 0 0 0 0 0 0 0 0 0
> ind<-cbind(sample(1:10,10),sample(1:10,10), c("a","a","b","j","c","d","e", "a", "b", "b"))
> ind
[,1] [,2] [,3]
[1,] "4" "8" "a"
[2,] "2" "9" "a"
[3,] "9" "3" "b"
[4,] "3" "1" "j"
[5,] "7" "4" "c"
[6,] "10" "7" "d"
[7,] "8" "6" "e"
[8,] "1" "2" "a"
[9,] "6" "5" "b"
[10,] "5" "10" "b"
> m[as.numeric(ind[,1]),ind[,3]]<-1
> m
a b c d e f g h i j
[1,] 1 1 1 1 1 0 0 0 0 1
[2,] 1 1 1 1 1 0 0 0 0 1
[3,] 1 1 1 1 1 0 0 0 0 1
[4,] 1 1 1 1 1 0 0 0 0 1
[5,] 1 1 1 1 1 0 0 0 0 1
[6,] 1 1 1 1 1 0 0 0 0 1
[7,] 1 1 1 1 1 0 0 0 0 1
[8,] 1 1 1 1 1 0 0 0 0 1
[9,] 1 1 1 1 1 0 0 0 0 1
[10,] 1 1 1 1 1 0 0 0 0 1
我预计列a有3个1(行4,2,8),列b有3个1(行9,6,5),列c有1个1(行7),列d有1 1(第10行),列e具有1 1(第8行),列j具有1 1(第3行)。
答案 0 :(得分:3)
有一种方法可以使用双列数字矩阵“[”或“[&lt; - ”]。如果你想对列和rownames进行某种查找,那么这是可能的(当且仅当你提供了一个适当的可重复的例子时。
> expTrans<-matrix(0, 3,4);expTrans
[,1] [,2] [,3] [,4]
[1,] 0 0 0 0
[2,] 0 0 0 0
[3,] 0 0 0 0
> dmat <- matrix( c(1,3,4,2,2,2),ncol=3, byrow=TRUE);dmat
[,1] [,2] [,3]
[1,] 1 3 4
[2,] 2 2 2
> colnames(expTrans)<- colnames(dmat); rownames(expTrans) <-rownames(dmat)
> expTrans[cbind(dmat[,2],dmat[,3] )] <- dmat[,1]
> expTrans
[,1] [,2] [,3] [,4]
[1,] 0 0 0 0
[2,] 0 2 0 0
[3,] 0 0 0 1
> ?'['
修正问题的解决方案:
> m[cbind( as.numeric(ind[,1]), match( ind[,3], colnames(m) ) ) ] <- 1
> m
a b c d e f g h i j
[1,] 0 1 0 0 0 0 0 0 0 0
[2,] 0 1 0 0 0 0 0 0 0 0
[3,] 0 0 0 1 0 0 0 0 0 0
[4,] 1 0 0 0 0 0 0 0 0 0
[5,] 0 0 0 0 0 0 0 0 0 1
[6,] 0 1 0 0 0 0 0 0 0 0
[7,] 0 0 0 0 1 0 0 0 0 0
[8,] 1 0 0 0 0 0 0 0 0 0
[9,] 0 0 1 0 0 0 0 0 0 0
[10,] 1 0 0 0 0 0 0 0 0 0