Hi,
It is better to ?dput() your example dataset.
temp<-
list(structure(c(16.91569, 190.89517, 169.70239, 162.14503, 190.8952,
2573.2651, 1966.6202, 1829.3142, 169.7024, 1966.6202, 2335.3354,
1676.7749, 162.145, 1829.314, 1676.775, 2106.543), .Dim = c(4L,
4L), .Dimnames = list(NULL, NULL)), structure(c(29.27022, 329.11422,
285.28642, 272.5794, 329.1142, 4454.2464, 3189.73, 3072.6324,
285.2864, 3189.73, 3818.7995, 2776.0347, 272.5794, 3072.6324,
2776.0347, 3379.8037), .Dim = c(4L, 4L), .Dimnames = list(NULL,
NULL)), structure(c(455.0825, 5496.1986, 4659.3058, 5236.8703,
5496.199, 85142.057, 62349.821, 63831.882, 4659.306, 62349.821,
59095.705, 57275.576, 5236.87, 63831.88, 57275.58, 70368.44), .Dim = c(4L,
4L), .Dimnames = list(NULL, NULL)))
library(Matrix)
#I am not using R studio. So, this may or may not help you.
A=matrix(0,18,18)
A[4:15,4:15] <- bdiag(temp)
#Error in A[4:15, 4:15] <- bdiag(temp) :
# number of items to replace is not a multiple of replacement length
A1<-as(A,"sparseMatrix")
A1[4:15,4:15]<- bdiag(temp)
A1
18 x 18 sparse Matrix of class "dgCMatrix"
[1,] . . . . . . . . .
[2,] . . . . . . . . .
[3,] . . . . . . . . .
[4,] . . . 16.91569 190.8952 169.7024 162.145 . .
[5,] . . . 190.89517 2573.2651 1966.6202 1829.314 . .
[6,] . . . 169.70239 1966.6202 2335.3354 1676.775 . .
[7,] . . . 162.14503 1829.3142 1676.7749 2106.543 . .
[8,] . . . . . . . 29.27022 329.1142
[9,] . . . . . . . 329.11422 4454.2464
[10,] . . . . . . . 285.28642 3189.7300
[11,] . . . . . . . 272.57940 3072.6324
[12,] . . . . . . . . .
[13,] . . . . . . . . .
[14,] . . . . . . . . .
[15,] . . . . . . . . .
[16,] . . . . . . . . .
[17,] . . . . . . . . .
[18,] . . . . . . . . .
[1,] . . . . . . . . .
[2,] . . . . . . . . .
[3,] . . . . . . . . .
[4,] . . . . . . . . .
[5,] . . . . . . . . .
[6,] . . . . . . . . .
[7,] . . . . . . . . .
[8,] 285.2864 272.5794 . . . . . . .
[9,] 3189.7300 3072.6324 . . . . . . .
[10,] 3818.7995 2776.0347 . . . . . . .
[11,] 2776.0347 3379.8037 . . . . . . .
[12,] . . 455.0825 5496.199 4659.306 5236.87 . . .
[13,] . . 5496.1986 85142.057 62349.821 63831.88 . . .
[14,] . . 4659.3058 62349.821 59095.705 57275.58 . . .
[15,] . . 5236.8703 63831.882 57275.576 70368.44 . . .
[16,] . . . . . . . . .
[17,] . . . . . . . . .
[18,] . . . . . . . . .
A.K.
Why the following R code doesn't work in R studio???
temp <- vector("list",3)
temp
[[1]]
[,1] [,2] [,3] [,4]
[1,] 16.91569 190.8952 169.7024 162.145
[2,] 190.89517 2573.2651 1966.6202 1829.314
[3,] 169.70239 1966.6202 2335.3354 1676.775
[4,] 162.14503 1829.3142 1676.7749 2106.543
[[2]]
[,1] [,2] [,3] [,4]
[1,] 29.27022 329.1142 285.2864 272.5794
[2,] 329.11422 4454.2464 3189.7300 3072.6324
[3,] 285.28642 3189.7300 3818.7995 2776.0347
[4,] 272.57940 3072.6324 2776.0347 3379.8037
[[3]]
[,1] [,2] [,3] [,4]
[1,] 455.0825 5496.199 4659.306 5236.87
[2,] 5496.1986 85142.057 62349.821 63831.88
[3,] 4659.3058 62349.821 59095.705 57275.58
[4,] 5236.8703 63831.882 57275.576 70368.44
A=matrix(0,18,18)
A[4:15,4:15] <- bdiag(temp)
_______________________________________________
The returned error is:
Error：as(x, "CsparseMatrix") :
no method or default for coercing “list” to “CsparseMatrix”
Why the bdiag code doesn't work?
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