我有一个具有以下row.names的矩阵:
"X1" "X5" "X33" "X37" "X52" "X566"
现在,我只想选择与列表条目匹配的行,例如:
include_list <- c("X1", "X5", "X33")
我想我会做这样的事情:
data.subset <- subset(data, row.names == include_list)
但是,此特定代码似乎无法完成任务。如何以这种方式执行子设置?
最佳答案
设置一些虚假数据:
m <- matrix(1:30, 6, 5)
rownames(m) <- c("X1", "X5", "X33", "X37", "X52", "X566")
m
# [,1] [,2] [,3] [,4] [,5]
# X1 1 7 13 19 25
# X5 2 8 14 20 26
# X33 3 9 15 21 27
# X37 4 10 16 22 28
# X52 5 11 17 23 29
# X566 6 12 18 24 30
在这里,使用矩阵索引(
[
)子集可能是最简单的:include_list <- c("X1", "X5", "X33")
m[include_list, ]
# [,1] [,2] [,3] [,4] [,5]
# X1 1 7 13 19 25
# X5 2 8 14 20 26
# X33 3 9 15 21 27
subset()
函数的替代方法:subset(m, rownames(m) %in% include_list)
# [,1] [,2] [,3] [,4] [,5]
# X1 1 7 13 19 25
# X5 2 8 14 20 26
# X33 3 9 15 21 27
关于r - 通过row.names子集矩阵,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/22670541/