如何在R中矩阵的每一行中添加向量?
要添加向量以到达矩阵的行,我们可以使用加号(+)并创建向量的重复,直到矩阵中的行数为止。例如,如果我们有一个名为M的矩阵,则可以使用命令将向量v添加到M的每一行-
M+rep(v,each=nrow(M))
例1
考虑下面的矩阵和向量-
> M1<-matrix(rpois(40,2),nrow=20)输出结果> M1
[,1] [,2][1,] 3 2
[2,] 3 3
[3,] 4 2
[4,] 5 1
[5,] 3 1
[6,] 2 2
[7,] 1 2
[8,] 2 1
[9,] 3 2
[10,] 0 1
[11,] 3 4
[12,] 2 6
[13,] 3 1
[14,] 4 0
[15,] 1 3
[16,] 1 0
[17,] 1 1
[18,] 0 1
[19,] 1 3
[20,] 2 0
将v1添加到M1中的行-
> M1+rep(v1,each=nrow(M1))输出结果
[,1] [,2][1,] 4 3
[2,] 4 4
[3,] 5 3
[4,] 6 2
[5,] 4 2
[6,] 3 3
[7,] 2 3
[8,] 3 2
[9,] 4 3
[10,] 1 2
[11,] 4 5
[12,] 3 7
[13,] 4 2
[14,] 5 1
[15,] 2 4
[16,] 2 1
[17,] 2 2
[18,] 1 2
[19,] 2 4
[20,] 3 1
例2
> M2<-matrix(rnorm(60),ncol=3)输出结果> M2
[,1] [,2] [,3][1,] -1.16459899 0.04276452 -0.38747561
[2,] 0.50198231 1.40818681 1.34047754
[3,] -0.83571273 0.15311835 -0.66026732
[4,] -1.04751005 0.68401101 0.36614494
[5,] -0.13906013 -0.08104307 1.58938567
[6,] 0.79923477 0.13871823 1.19483957
[7,] -0.70957734 -1.22610985 0.79431236
[8,] -0.61919335 -1.67900016 0.75673298
[9,] 0.02131366 0.59198453 -0.51860397
[10,] -0.92114971 -0.94043054 -0.66674705
[11,] -0.26933585 0.61537773 1.18988144
[12,] 2.11994998 -0.62014441 -0.97012363
[13,] -0.45798423 0.92096389 0.74603167
[14,] -0.51599135 -0.01450992 -1.84365984
[15,] -0.29866554 0.99900886 -0.55598877
[16,] -0.91226758 -1.63915166 -0.20200339
[17,] 0.40107684 1.79162856 -0.02759807
[18,] 0.44712300 -0.07322323 -0.15221520
[19,] 0.15838286 -1.50611267 -0.07117655
[20,] 0.53166819 -0.99748658 -0.54070065
> v2<-c(100,100,100)
将v2添加到M2中的行-
> M2+rep(v2,each=nrow(M2))输出结果
[,1] [,2] [,3][1,] 98.83540 100.04276 99.61252
[2,] 100.50198 101.40819 101.34048
[3,] 99.16429 100.15312 99.33973
[4,] 98.95249 100.68401 100.36614
[5,] 99.86094 99.91896 101.58939
[6,] 100.79923 100.13872 101.19484
[7,] 99.29042 98.77389 100.79431
[8,] 99.38081 98.32100 100.75673
[9,] 100.02131 100.59198 99.48140
[10,] 99.07885 99.05957 99.33325
[11,] 99.73066 100.61538 101.18988
[12,] 102.11995 99.37986 99.02988
[13,] 99.54202 100.92096 100.74603
[14,] 99.48401 99.98549 98.15634
[15,] 99.70133 100.99901 99.44401
[16,] 99.08773 98.36085 99.79800
[17,] 100.40108 101.79163 99.97240
[18,] 100.44712 99.92678 99.84778
[19,] 100.15838 98.49389 99.92882
[20,] 100.53167 99.00251 99.45930
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