通过row.names子集化矩阵

his*_*eim 14 r data-manipulation

我有一个矩阵与以下row.names:

"X1"   "X5"   "X33"  "X37"  "X52"  "X566"
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现在我想只选择与列表条目匹配的行,例如:

include_list <- c("X1", "X5", "X33")
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我想我会做这样的事情:

data.subset <- subset(data, row.names == include_list)
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但是,这个特定的代码似乎没有完成这项工作.如何以这种方式执行子集化?

Ric*_*ven 28

设置一些假数据:

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
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这里使用矩阵索引([)进行子集可能最简单:

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
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替代subset()功能:

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
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