使用以下算法对矩阵 M 进行双中心化:
| mean(M[1,1:3]) mean(M[1,1:3]) mean(M[1,1:3]) |
R = | mean(M[2,1:3]) mean(M[2,1:3]) mean(M[2,1:3]) |
| mean(M[3,1:3]) mean(M[3,1:3]) mean(M[3,1:3]) |
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和
| mean(M[1:3,1]) mean(M[1:3,2]) mean(M[1:3,3]) |
C = | mean(M[1:3,1]) mean(M[1:3,2]) mean(M[1:3,3]) |
| mean(M[1:3,1]) mean(M[1:3,2]) mean(M[1:3,3]) |
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M - C - R + grand_mean(M)。这是执行此操作的代码:
# example data
M = matrix(runif(9), nrow=3, ncol=3)
# compute the row-wise and column-wise mean matrices
R = M*0 + rowMeans(M) # or `do.call(cbind, rep(list(rowMeans(tst)), 3))`
C = t(M*0 + colMeans(M)) # or `do.call(rbind, rep(list(colMeans(tst)), 3))`
# substract them and add the grand mean
M_double_centered = M - R - C + mean(M[])
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您可以通过计算rowMeans(M_double_centered)和来检查这是否给出了正确的答案colMeans(M_double_centered)。