R中的行和列矩阵总和按组

et_*_*et_ 1 r sum matrix rowsum

我有一个matrix包含两个级别分组的矩阵,如行名和列名所示。

           UKC1_SS1   UKC1_SS2   UKC2_SS1   UKC2_SS2
UKC1_SS1       1          2          3          4
UKC1_SS2       5          6          7          8
UKC2_SS1       9         10         11         12
UKC2_SS2      13         14         15         16
Run Code Online (Sandbox Code Playgroud)

我想根据列名和行名的前四位数字创建一个包含列和行总和的表:

      UKC1   UKC2   
UKC1    14     22  
UKC2    46     54  
Run Code Online (Sandbox Code Playgroud)

我尝试计算rowsums并按colSums顺序,

sum.matrix <- rowsum(matrix, substr(rownames(matrix), start = 1, stop = 4))
sum.matrix <- colSums(sum.matrix, substr(colnames(test), start = 1, stop = 4)
Run Code Online (Sandbox Code Playgroud)

但我收到以下错误消息: colSums(test, substr(colnames(test), start = 1, stop = 4)) 错误:'na.rm' 参数无效

当我运行时,sum(is.na)我确认matrix.

akr*_*run 6

我们可以做的sumxtabs改变后,dimnamessubstr第1位4个字符

dimnames(m1) <- lapply(dimnames(m1), substr, 1, 4)
xtabs(Freq~ Var1 + Var2, as.data.frame.table(m1))
#      Var2
#Var1   UKC1 UKC2
#  UKC1   14   22
#  UKC2   46   54
Run Code Online (Sandbox Code Playgroud)

数据

m1 <- structure(c(1L, 5L, 9L, 13L, 2L, 6L, 10L, 14L, 3L, 7L, 11L, 15L, 
4L, 8L, 12L, 16L), .Dim = c(4L, 4L), .Dimnames = list(c("UKC1_SS1", 
"UKC1_SS2", "UKC2_SS1", "UKC2_SS2"), c("UKC1_SS1", "UKC1_SS2", 
 "UKC2_SS1", "UKC2_SS1.1")))
Run Code Online (Sandbox Code Playgroud)