This function creates a 1-4 dimensional grid in long format, with the cell
positions encoded in the x, y, z, and t columns. A long_cell object
is the base class for the tidy interface to ambient, and allows a very
flexible approach to pattern generation at the expense of slightly lower
performance than the noise_* functions that maps directly to the underlying
C++ code.
long_grid(x, y = NULL, z = NULL, t = NULL) grid_cell(grid, dim, ...) # S3 method for long_grid as.array(x, value, ...) # S3 method for long_grid as.matrix(x, value, ...) # S3 method for long_grid as.raster(x, value, ...) slice_at(grid, ...)
| x, y, z, t | For |
|---|---|
| grid | A long_grid object |
| dim | The dimension to get the cell index at, either as an integer or string. |
| ... | Arguments passed on to methods (ignored) |
| value | The unquoted value to use for filling out the array/matrix |
grid <- long_grid(1:10, seq(0, 1, length = 6), c(3, 6)) # Get which row each cell belongs to grid_cell(grid, 2) # equivalent to grid_cell(grid, 'y') #> [1] 1 1 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 #> [38] 1 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 1 #> [75] 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 1 2 2 3 3 4 4 5 5 6 6 1 1 2 #> [112] 2 3 3 4 4 5 5 6 6 # Convert the long_grid to an array and fill with the x position as.array(grid, x) #> , , 1 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 1 1 1 1 1 1 #> [2,] 1 1 1 1 1 1 #> #> , , 2 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 2 2 2 2 2 2 #> [2,] 2 2 2 2 2 2 #> #> , , 3 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 3 3 3 3 3 3 #> [2,] 3 3 3 3 3 3 #> #> , , 4 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 4 4 4 4 4 4 #> [2,] 4 4 4 4 4 4 #> #> , , 5 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 5 5 5 5 5 5 #> [2,] 5 5 5 5 5 5 #> #> , , 6 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 6 6 6 6 6 6 #> [2,] 6 6 6 6 6 6 #> #> , , 7 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 7 7 7 7 7 7 #> [2,] 7 7 7 7 7 7 #> #> , , 8 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 8 8 8 8 8 8 #> [2,] 8 8 8 8 8 8 #> #> , , 9 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 9 9 9 9 9 9 #> [2,] 9 9 9 9 9 9 #> #> , , 10 #> #> y #> z [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 10 10 10 10 10 10 #> [2,] 10 10 10 10 10 10 #> # Extract the first column slice_at(grid, x = 1) #> # A tibble: 12 × 3 #> x y z #> <int> <dbl> <dbl> #> 1 1 0 3 #> 2 1 0 6 #> 3 1 0.2 3 #> 4 1 0.2 6 #> 5 1 0.4 3 #> 6 1 0.4 6 #> 7 1 0.6 3 #> 8 1 0.6 6 #> 9 1 0.8 3 #> 10 1 0.8 6 #> 11 1 1 3 #> 12 1 1 6 # Convert the first column to a matrix filled with y position as.matrix(slice_at(grid, x = 1), y) #> z #> y [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] 0 0.2 0.4 0.6 0.8 1 #> [2,] 0 0.2 0.4 0.6 0.8 1