R Under development (unstable) (2023-04-23 r84305 ucrt) -- "Unsuffered Consequences"
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> 
>  library(rcdd)
If you want correct answers, use rational arithmetic.
See the Warnings sections in help pages for
    functions that do computational geometry.
> 
>  d <- 4
>  qux <- makeH(- diag(d), rep(0, d), rep(1, d), 1)
> 
>  out <- scdd(qux, adjacency = TRUE)
>  print(out)
$output
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    0    0    0    1
[2,]    0    1    0    0    1    0
[3,]    0    1    0    1    0    0
[4,]    0    1    1    0    0    0
attr(,"representation")
[1] "V"

$adjacency
$adjacency[[1]]
[1] 2 3 4

$adjacency[[2]]
[1] 1 3 4

$adjacency[[3]]
[1] 1 2 4

$adjacency[[4]]
[1] 1 2 3


> 
>  ##########################
> 
>  quux <- addHeq(1:d, (d + 1) / 2, qux)
>  print(quux)
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1  1.0   -1   -1   -1   -1
[2,]    0  0.0    1    0    0    0
[3,]    0  0.0    0    1    0    0
[4,]    0  0.0    0    0    1    0
[5,]    0  0.0    0    0    0    1
[6,]    1  2.5   -1   -2   -3   -4
attr(,"representation")
[1] "H"
> 
>  out <- scdd(quux, adjacency = TRUE)
>  print(out)
$output
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1 0.50 0.00 0.00 0.50
[2,]    0    1 0.25 0.00 0.75 0.00
[3,]    0    1 0.00 0.50 0.50 0.00
[4,]    0    1 0.00 0.75 0.00 0.25
attr(,"representation")
[1] "V"

$adjacency
$adjacency[[1]]
[1] 2 4

$adjacency[[2]]
[1] 1 3

$adjacency[[3]]
[1] 2 4

$adjacency[[4]]
[1] 1 3


> 
>  out <- scdd(quux, incidence = TRUE)
>  print(out)
$output
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1 0.50 0.00 0.00 0.50
[2,]    0    1 0.25 0.00 0.75 0.00
[3,]    0    1 0.00 0.50 0.50 0.00
[4,]    0    1 0.00 0.75 0.00 0.25
attr(,"representation")
[1] "V"

$incidence
$incidence[[1]]
[1] 1 3 4 6

$incidence[[2]]
[1] 1 3 5 6

$incidence[[3]]
[1] 1 2 5 6

$incidence[[4]]
[1] 1 2 4 6


$input
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1  1.0   -1   -1   -1   -1
[2,]    0  0.0    1    0    0    0
[3,]    0  0.0    0    1    0    0
[4,]    0  0.0    0    0    1    0
[5,]    0  0.0    0    0    0    1
[6,]    1  2.5   -1   -2   -3   -4
attr(,"representation")
[1] "H"

> 
>  out <- scdd(quux, inputadjacency = TRUE)
>  print(out)
$output
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1 0.50 0.00 0.00 0.50
[2,]    0    1 0.25 0.00 0.75 0.00
[3,]    0    1 0.00 0.50 0.50 0.00
[4,]    0    1 0.00 0.75 0.00 0.25
attr(,"representation")
[1] "V"

$inputadjacency
$inputadjacency[[1]]
[1] 2 3 4 5 6

$inputadjacency[[2]]
[1] 1 4 5 6

$inputadjacency[[3]]
[1] 1 4 5 6

$inputadjacency[[4]]
[1] 1 2 3 6

$inputadjacency[[5]]
[1] 1 2 3 6

$inputadjacency[[6]]
[1] 1 2 3 4 5

$inputadjacency[[7]]
integer(0)


$input
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1  1.0   -1   -1   -1   -1
[2,]    0  0.0    1    0    0    0
[3,]    0  0.0    0    1    0    0
[4,]    0  0.0    0    0    1    0
[5,]    0  0.0    0    0    0    1
[6,]    1  2.5   -1   -2   -3   -4
attr(,"representation")
[1] "H"

> 
>  out <- scdd(quux, inputincidence = TRUE)
>  print(out)
$output
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1 0.50 0.00 0.00 0.50
[2,]    0    1 0.25 0.00 0.75 0.00
[3,]    0    1 0.00 0.50 0.50 0.00
[4,]    0    1 0.00 0.75 0.00 0.25
attr(,"representation")
[1] "V"

$inputincidence
$inputincidence[[1]]
[1] 1 2 3 4

$inputincidence[[2]]
[1] 3 4

$inputincidence[[3]]
[1] 1 2

$inputincidence[[4]]
[1] 1 4

$inputincidence[[5]]
[1] 2 3

$inputincidence[[6]]
[1] 1 2 3 4

$inputincidence[[7]]
integer(0)


$input
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1  1.0   -1   -1   -1   -1
[2,]    0  0.0    1    0    0    0
[3,]    0  0.0    0    1    0    0
[4,]    0  0.0    0    0    1    0
[5,]    0  0.0    0    0    0    1
[6,]    1  2.5   -1   -2   -3   -4
attr(,"representation")
[1] "H"

> 
> 
> proc.time()
   user  system elapsed 
   0.20    0.09    0.28