Code
log(x)
Message
greta array <operation>
Output
[,1]
[1,] ?
Message
The `base` argument of `log()` is deprecated as of greta 0.5.1.
i The `base` argument is (and actually was) never used in `log.greta_array()`. See the TensorFlow documentation for details of this routine.
Code
y
Message
greta array <data>
Output
[,1] [,2] [,3]
[1,] 1 4 7
[2,] 2 5 8
[3,] 3 6 9
Message
The `base` argument of `log()` is deprecated as of greta 0.5.1.
i The `base` argument is (and actually was) never used in `log.greta_array()`. See the TensorFlow documentation for details of this routine.
Code
fun(x)
Condition
Error:
! `cummax()` not yet implemented for greta
Code
fun(x)
Condition
Error:
! `cummin()` not yet implemented for greta
Code
fun(x)
Condition
Error:
! greta does not yet support complex numbers
Code
fun(x)
Condition
Error:
! greta does not yet support complex numbers
Code
fun(x)
Condition
Error:
! greta does not yet support complex numbers
Code
fun(x)
Condition
Error:
! greta does not yet support complex numbers
Code
fun(x)
Condition
Error:
! greta does not yet support complex numbers
Code
cumsum(a)
Condition
Error:
! `x` must be a column vector
but `x` has dimensions 1x5
Code
cumsum(b)
Condition
Error:
! `x` must be a column vector
but `x` has dimensions 5x1x1
Code
cumprod(a)
Condition
Error:
! `x` must be a column vector
but `x` has dimensions 1x5
Code
cumprod(b)
Condition
Error:
! `x` must be a column vector
but `x` has dimensions 5x1x1
Code
solve(b, a)
Condition
Error in `solve()`:
! `a must be two dimensional`
However, `a` has dimensions: 5x25x2
Code
solve(c, b)
Condition
Error in `solve()`:
! `b must be two dimensional`
However, `b` has dimensions: 5x25x2
Code
solve(a, a)
Condition
Error in `solve()`:
! Object must be 2D square array
x But it had dimension: "5x25"
Code
solve(a)
Condition
Error in `solve()`:
! Object must be 2D square array
x But it had dimension: "5x25"
Code
solve(c, t(a))
Condition
Error in `solve()`:
! Number of rows not equal
x `b` must have the same number of rows as `a` (5), but has 25 rows instead
Code
sweep(b, 1, stats)
Condition
Error in `sweep()`:
! `x must be two dimensional`
However, `x` has dimensions: 5x25x2
Code
sweep(a, 3, stats)
Condition
Error in `sweep()`:
! MARGIN can only be 1 or 2
Code
sweep(a, 1, c(stats, stats))
Condition
Error in `sweep()`:
! The number of elements of `stats` does not match `dim(x)[MARGIN]`
Code
sweep(a, 1, t(stats))
Condition
Error in `sweep()`:
! `stats` not a column vector array
`stats` must be a column vector array
x `stats` has dimensions:
"1x5"
Code
sweep(a, 2, stats)
Condition
Error in `sweep()`:
! The number of elements of `stats` does not match `dim(x)[MARGIN]`
Code
kronecker(a, b)
Condition
Error in `kronecker()`:
! `Y must be two dimensional`
However, `Y` has dimensions: 5x25x2
Code
kronecker(b, c)
Condition
Error in `kronecker()`:
! `X must be two dimensional`
However, `X` has dimensions: 5x25x2
Code
colSums(x, dims = 3)
Condition
Error in `rowcol_idx()`:
! invalid `dims`
Code
rowSums(x, dims = 3)
Condition
Error in `rowcol_idx()`:
! invalid `dims`
Code
colMeans(x, dims = 3)
Condition
Error in `rowcol_idx()`:
! invalid `dims`
Code
rowMeans(x, dims = 3)
Condition
Error in `rowcol_idx()`:
! invalid `dims`
Code
forwardsolve(a, b, k = 1)
Condition
Error in `forwardsolve()`:
! `1` must equal `ncol(l)` for <greta_array>s
Code
backsolve(a, b, k = 1)
Condition
Error in `backsolve()`:
! `1` must equal `ncol(r)` for <greta_array>s
Code
forwardsolve(a, b, transpose = TRUE)
Condition
Error in `forwardsolve()`:
! `transpose` must be FALSE for <greta_array>s
Code
backsolve(a, b, transpose = TRUE)
Condition
Error in `backsolve()`:
! `transpose` must be FALSE for <greta_array>s
Code
tapply(b, group, "sum")
Condition
Error in `tapply()`:
! `x` must be 2D <greta_array> with one column
However `x` has dimensions 10x2
Code
tapply(a, as_data(group), "sum")
Condition
Error in `check_not_greta_array()`:
! `INDEX` cannot be a <greta_array>
Code
round(x, 2)
Condition
Error:
! the "digits" argument of `round()` cannot be set for <greta_array>s
<greta_array>s can only be rounded to the nearest integer, so the "digits" argument cannot be set
`chol()` options are ignored for <greta_array>s
The `LINPACK` argument is ignored for <greta_array>s, and has also been defunct since R 3.1.0
`size` is ignored for <greta_array>s
`compact` is ignored for <greta_array>s
Code
t(x)
Condition
Error in `t()`:
! only 2D arrays can be transposed
Code
aperm(x, 2:1)
Condition
Error in `aperm()`:
! `perm` must be a reordering of the dimensions: 1, 2, and 3
but was: 2 and 1
Code
chol(x)
Condition
Error in `chol()`:
! only two-dimensional, square, symmetric <greta_array>s can be Cholesky decomposed
`dim(x)` returns: 3, 3, and 3
Code
chol(y)
Condition
Error in `chol()`:
! only two-dimensional, square, symmetric <greta_array>s can be Cholesky decomposed
`dim(x)` returns: 3 and 4
Code
chol2symm(x)
Condition
Error in `chol2symm()`:
! `chol2symm()` must have two-dimensional, square, upper-triangular <greta_array>s
`dim(x)` returns: 3, 3, and 3
Code
chol2symm(y)
Condition
Error in `chol2symm()`:
! `chol2symm()` must have two-dimensional, square, upper-triangular <greta_array>s
`dim(x)` returns: 3 and 4
Code
eigen(x)
Condition
Error in `eigen()`:
! only two-dimensional, square, symmetric <greta_array>s can be eigendecomposed
Code
eigen(y)
Condition
Error in `eigen()`:
! only two-dimensional, square, symmetric <greta_array>s can be eigendecomposed
Code
rdist(x, y)
Condition
Error in `rdist()`:
! `x1` and `x2` must have the same number of columns
However `ncol(x1)` = 1 and `ncol(x2)` = 4
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