library("broadcast")
# maths ====
x <- 1:10
y <- 1:10
dim(x) <- c(10, 1)
dim(y) <- c(1, 10)
broadcaster(x) <- TRUE
broadcaster(y) <- TRUE
x + y / x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 2.000000 3.000000 4.000000 5.000000 6.000000 7.000000 8.000000
#> [2,] 2.500000 3.000000 3.500000 4.000000 4.500000 5.000000 5.500000
#> [3,] 3.333333 3.666667 4.000000 4.333333 4.666667 5.000000 5.333333
#> [4,] 4.250000 4.500000 4.750000 5.000000 5.250000 5.500000 5.750000
#> [5,] 5.200000 5.400000 5.600000 5.800000 6.000000 6.200000 6.400000
#> [6,] 6.166667 6.333333 6.500000 6.666667 6.833333 7.000000 7.166667
#> [7,] 7.142857 7.285714 7.428571 7.571429 7.714286 7.857143 8.000000
#> [8,] 8.125000 8.250000 8.375000 8.500000 8.625000 8.750000 8.875000
#> [9,] 9.111111 9.222222 9.333333 9.444444 9.555556 9.666667 9.777778
#> [10,] 10.100000 10.200000 10.300000 10.400000 10.500000 10.600000 10.700000
#> [,8] [,9] [,10]
#> [1,] 9.000000 10.000000 11.000000
#> [2,] 6.000000 6.500000 7.000000
#> [3,] 5.666667 6.000000 6.333333
#> [4,] 6.000000 6.250000 6.500000
#> [5,] 6.600000 6.800000 7.000000
#> [6,] 7.333333 7.500000 7.666667
#> [7,] 8.142857 8.285714 8.428571
#> [8,] 9.000000 9.125000 9.250000
#> [9,] 9.888889 10.000000 10.111111
#> [10,] 10.800000 10.900000 11.000000
#> broadcaster
(x + y) / x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
#> [1,] 2.000000 3.000000 4.000000 5.000000 6.000000 7.000000 8.000000 9.000000
#> [2,] 1.500000 2.000000 2.500000 3.000000 3.500000 4.000000 4.500000 5.000000
#> [3,] 1.333333 1.666667 2.000000 2.333333 2.666667 3.000000 3.333333 3.666667
#> [4,] 1.250000 1.500000 1.750000 2.000000 2.250000 2.500000 2.750000 3.000000
#> [5,] 1.200000 1.400000 1.600000 1.800000 2.000000 2.200000 2.400000 2.600000
#> [6,] 1.166667 1.333333 1.500000 1.666667 1.833333 2.000000 2.166667 2.333333
#> [7,] 1.142857 1.285714 1.428571 1.571429 1.714286 1.857143 2.000000 2.142857
#> [8,] 1.125000 1.250000 1.375000 1.500000 1.625000 1.750000 1.875000 2.000000
#> [9,] 1.111111 1.222222 1.333333 1.444444 1.555556 1.666667 1.777778 1.888889
#> [10,] 1.100000 1.200000 1.300000 1.400000 1.500000 1.600000 1.700000 1.800000
#> [,9] [,10]
#> [1,] 10.000000 11.000000
#> [2,] 5.500000 6.000000
#> [3,] 4.000000 4.333333
#> [4,] 3.250000 3.500000
#> [5,] 2.800000 3.000000
#> [6,] 2.500000 2.666667
#> [7,] 2.285714 2.428571
#> [8,] 2.125000 2.250000
#> [9,] 2.000000 2.111111
#> [10,] 1.900000 2.000000
#> broadcaster
(x + y) * x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 2 3 4 5 6 7 8 9 10 11
#> [2,] 6 8 10 12 14 16 18 20 22 24
#> [3,] 12 15 18 21 24 27 30 33 36 39
#> [4,] 20 24 28 32 36 40 44 48 52 56
#> [5,] 30 35 40 45 50 55 60 65 70 75
#> [6,] 42 48 54 60 66 72 78 84 90 96
#> [7,] 56 63 70 77 84 91 98 105 112 119
#> [8,] 72 80 88 96 104 112 120 128 136 144
#> [9,] 90 99 108 117 126 135 144 153 162 171
#> [10,] 110 120 130 140 150 160 170 180 190 200
#> broadcaster
# relational operators ====
x <- 1:10
y <- array(1:10, c(1, 10))
broadcaster(x) <- TRUE
broadcaster(y) <- TRUE
x == y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
#> [6,] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> broadcaster
x != y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
#> [6,] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> broadcaster
x < y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE
#> [6,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> broadcaster
x > y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [6,] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> broadcaster
x <= y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [6,] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> broadcaster
x >= y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
#> [6,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> broadcaster
# maths ====
x <- sample(1:10)
y <- sample(1:10)
dim(x) <- c(10, 1)
dim(y) <- c(1, 10)
mbroadcasters(c("x", "y"), TRUE)
x + y / x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 5.600000 6.800000 5.400000 6.000000 7.000000 5.800000 6.600000
#> [2,] 4.000000 10.000000 3.000000 6.000000 11.000000 5.000000 9.000000
#> [3,] 7.428571 8.285714 7.285714 7.714286 8.428571 7.571429 8.142857
#> [4,] 4.000000 6.000000 3.666667 4.666667 6.333333 4.333333 5.666667
#> [5,] 3.500000 6.500000 3.000000 4.500000 7.000000 4.000000 6.000000
#> [6,] 9.333333 10.000000 9.222222 9.555556 10.111111 9.444444 9.888889
#> [7,] 6.500000 7.500000 6.333333 6.833333 7.666667 6.666667 7.333333
#> [8,] 10.300000 10.900000 10.200000 10.500000 11.000000 10.400000 10.800000
#> [9,] 8.375000 9.125000 8.250000 8.625000 9.250000 8.500000 9.000000
#> [10,] 4.750000 6.250000 4.500000 5.250000 6.500000 5.000000 6.000000
#> [,8] [,9] [,10]
#> [1,] 5.200000 6.200000 6.400000
#> [2,] 2.000000 7.000000 8.000000
#> [3,] 7.142857 7.857143 8.000000
#> [4,] 3.333333 5.000000 5.333333
#> [5,] 2.500000 5.000000 5.500000
#> [6,] 9.111111 9.666667 9.777778
#> [7,] 6.166667 7.000000 7.166667
#> [8,] 10.100000 10.600000 10.700000
#> [9,] 8.125000 8.750000 8.875000
#> [10,] 4.250000 5.500000 5.750000
#> broadcaster
(x + y) / x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
#> [1,] 1.600000 2.800000 1.400000 2.000000 3.000000 1.800000 2.600000 1.200000
#> [2,] 4.000000 10.000000 3.000000 6.000000 11.000000 5.000000 9.000000 2.000000
#> [3,] 1.428571 2.285714 1.285714 1.714286 2.428571 1.571429 2.142857 1.142857
#> [4,] 2.000000 4.000000 1.666667 2.666667 4.333333 2.333333 3.666667 1.333333
#> [5,] 2.500000 5.500000 2.000000 3.500000 6.000000 3.000000 5.000000 1.500000
#> [6,] 1.333333 2.000000 1.222222 1.555556 2.111111 1.444444 1.888889 1.111111
#> [7,] 1.500000 2.500000 1.333333 1.833333 2.666667 1.666667 2.333333 1.166667
#> [8,] 1.300000 1.900000 1.200000 1.500000 2.000000 1.400000 1.800000 1.100000
#> [9,] 1.375000 2.125000 1.250000 1.625000 2.250000 1.500000 2.000000 1.125000
#> [10,] 1.750000 3.250000 1.500000 2.250000 3.500000 2.000000 3.000000 1.250000
#> [,9] [,10]
#> [1,] 2.200000 2.400000
#> [2,] 7.000000 8.000000
#> [3,] 1.857143 2.000000
#> [4,] 3.000000 3.333333
#> [5,] 4.000000 4.500000
#> [6,] 1.666667 1.777778
#> [7,] 2.000000 2.166667
#> [8,] 1.600000 1.700000
#> [9,] 1.750000 1.875000
#> [10,] 2.500000 2.750000
#> broadcaster
(x + y) * x
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] 40 70 35 50 75 45 65 30 55 60
#> [2,] 4 10 3 6 11 5 9 2 7 8
#> [3,] 70 112 63 84 119 77 105 56 91 98
#> [4,] 18 36 15 24 39 21 33 12 27 30
#> [5,] 10 22 8 14 24 12 20 6 16 18
#> [6,] 108 162 99 126 171 117 153 90 135 144
#> [7,] 54 90 48 66 96 60 84 42 72 78
#> [8,] 130 190 120 150 200 140 180 110 160 170
#> [9,] 88 136 80 104 144 96 128 72 112 120
#> [10,] 28 52 24 36 56 32 48 20 40 44
#> broadcaster
# relational operators ====
x <- 1:10
y <- array(1:10, c(1, 10))
mbroadcasters(c("x", "y"), TRUE)
x == y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
#> [6,] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> broadcaster
x != y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
#> [6,] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> broadcaster
x < y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE
#> [6,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> broadcaster
x > y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [6,] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> broadcaster
x <= y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [2,] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [3,] FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [4,] FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [5,] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
#> [6,] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE
#> [7,] FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
#> [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
#> [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE
#> [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> broadcaster
x >= y
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [2,] TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [3,] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [4,] TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [5,] TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
#> [6,] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
#> [7,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE
#> [8,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE
#> [9,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
#> [10,] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> broadcasterbroadcaster
Check or Set if an Array is a Broadcaster
Description
broadcaster() checks if an array or vector is marked as a "broadcaster".
bcr() is a short-hand alias for broadcaster().
broadcaster()<- (or bcr()<-) marks or un-marks the object as a "broadcaster".
mbroadcasters() marks or un-marks multiple objects in an environment as broadcaster.
mbroadcasters() may be more memory efficient for large arrays than broadcaster()<-, as mbroadcasters() calls class(x)<- directly in the given environment.
.couldb.broadcaster() is used internally to check if an object could become a broadcaster vector/array.
The broadcaster class attribute exists purely to overload the arithmetic, Boolean, bit-wise, and relational infix operators, to support broadcasting.
This makes mathematical expressions with multiple variables, where precedence may be important, far more convenient.
Like in the following calculation:
x / (y + z)
See broadcast_operators for more information.
Usage
broadcaster(x)
broadcaster(x) <- value
mbroadcasters(nms, value, env = NULL)
bcr(x)
bcr(x) <- value
Arguments
x
|
object to check or mark. Only S3 vectors and arrays are supported, and only up to 16 dimensions. |
value
|
set to TRUE to make an array a broadcaster, or FALSE to remove the broadcaster class attribute from an array.
|
nms
|
a character vector of variable names. |
env
|
the environment where to look for the variable names specified in nms. If NULL, the environment from which the function was called is used. |
Value
For broadcaster():
TRUE if an array or vector is a broadcaster, or FALSE if it is not.
For broadcaster()<-:
Returns nothing, but marks (if right hand side is TRUE) or un-marks (if right hand side is FALSE) the object as a "broadcaster".
For mbroadcasters():
Returns nothing, but marks (if value is TRUE) or un-marks (if value is FALSE) the objects as broadcasters.
If value = TRUE, objects that cannot become a broadcaster or are already a broadcaster will be ignored.
If value = FALSE, objects that are not broadcasters (according to broadcaster()) will be ignored.
Note
The ‘broadcaster’ class will make arithmetic and relational operators operate with broadcasting.
Functions that rely on non-broadcasted functionality of these operators will produce unexpected results.
Thus functions like pmin() and pmax(), and some functions from the ‘tinyplot’ package, are not compatible with ‘broadcaster’ vectors/arrays.
Please ensure an object is not a ‘broadcaster’ before applying these functions on it.