根据rownames将值从一个矩阵转移到另一个矩阵

时间:2015-03-27 13:52:17

标签: r

那是我的矩阵,我想在这个矩阵中添加一个新列:

> dput(head(res))
structure(c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(6L, 
20L), .Dimnames = list(c("AT1G01050_0", "AT1G01050_1", "AT1G01080_0", 
"AT1G01080_1", "AT1G01080_2", "AT1G01080_3"), c("10", "33.95", 
"58.66", "84.42", "110.21", "134.16", "164.69", "199.1", "234.35", 
"257.19", "361.84", "432.74", "506.34", "581.46", "651.71", "732.59", 
"817.56", "896.24", "971.77", "1038.91")))

新列将取自下面显示的另一个矩阵:

> dput(head(data2))
structure(c("AT1G01050", "AT1G01080", "AT1G01090", "AT1G01320", 
"AT1G01470", "AT1G01800", " 24.5", " 32.6", " 47.2", "198.8", 
" 16.5", " 31.7"), .Dim = c(6L, 2L), .Dimnames = list(c("5", 
"9", "10", "35", "51", "87"), c("locus", "size2")))

如您所见,名称的一部分(在破折号_之前)是相同的。基于此,我想从size2列中取出值并将其放入新列中的第一个矩阵。

输出:

            10 33.95 58.66 84.42 110.21 134.16 164.69 199.1 234.35 257.19 361.84 432.74 506.34 581.46 651.71 732.59 817.56 896.24
AT1G01050_0  0     0     0     0      0      0      0     0      1      0      0      0      0      0      0      0      0      0
AT1G01050_1  0     0     0     0      0      0      0     0      0      0      0      0      0      1      0      0      0      0
AT1G01080_0  0     0     0     1      0      0      0     0      0      0      0      0      0      0      0      0      0      0
AT1G01080_1  0     0     0     0      0      0      1     0      0      0      0      0      0      0      0      0      0      0
AT1G01080_2  0     0     0     0      0      0      0     0      0      0      1      0      0      0      0      0      0      0
AT1G01080_3  0     0     0     0      0      0      0     0      0      0      0      0      0      1      0      0      0      0
            971.77 1038.91    size2
AT1G01050_0      0       0     24.5 
AT1G01050_1      0       0     24.5
AT1G01080_0      0       0     32.6
AT1G01080_1      0       0     32.6
AT1G01080_2      0       0     32.6
AT1G01080_3      0       0     32.6

希望对你们中的某些人来说不会有困难。

2 个答案:

答案 0 :(得分:3)

第一步是从res

的行名中提取根
(roots <- sapply(strsplit(rownames(res), "\\_"), "[", 1))
# [1] "AT1G01050" "AT1G01050" "AT1G01080" "AT1G01080" "AT1G01080" "AT1G01080"

现在您可以使用match功能来获取正确的尺寸:

cbind(res, as.numeric(data2[match(roots, data2[,1]), 2]))
#             10 33.95 58.66 84.42 110.21 134.16 164.69 199.1 234.35 257.19 361.84 432.74 506.34 581.46
# AT1G01050_0  0     0     0     0      0      0      0     0      1      0      0      0      0      0
# AT1G01050_1  0     0     0     0      0      0      0     0      0      0      0      0      0      1
# AT1G01080_0  0     0     0     1      0      0      0     0      0      0      0      0      0      0
# AT1G01080_1  0     0     0     0      0      0      1     0      0      0      0      0      0      0
# AT1G01080_2  0     0     0     0      0      0      0     0      0      0      1      0      0      0
# AT1G01080_3  0     0     0     0      0      0      0     0      0      0      0      0      0      1
#             651.71 732.59 817.56 896.24 971.77 1038.91     
# AT1G01050_0      0      0      0      0      0       0 24.5
# AT1G01050_1      0      0      0      0      0       0 24.5
# AT1G01080_0      0      0      0      0      0       0 32.6
# AT1G01080_1      0      0      0      0      0       0 32.6
# AT1G01080_2      0      0      0      0      0       0 32.6
# AT1G01080_3      0      0      0      0      0       0 32.6

答案 1 :(得分:0)

假设我理解你的问题 - 结果是在数据框“d1”

d1 <- as.data.frame(res)
d2 <- as.data.frame(data2)
d1$locus <- gsub("_[0-9]*$", "", rownames(d1))
d3 <- merge(d1, d2, by="locus", all.x=T)
d1$size2 <- d3$size2
d1$locus <- NULL
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