This function generates random noise dimensions to be added to the coordinates of a sphere.
Arguments
- n
The number of observations for which to generate noise dimensions.
- num_noise
The number of noise dimensions to generate.
- min_n
The minimum value for the random noise.
- max_n
The maximum value for the random noise.
Examples
# Generate random noise dimensions with 3 dimensions, minimum value -1, and maximum value 1
set.seed(20240412)
gen_noise_dims(n = 50, num_noise = 3, min_n = -0.01, max_n = 0.01)
#> [,1] [,2] [,3]
#> [1,] -0.0081241781 0.0029029013 -9.882231e-03
#> [2,] -0.0013916432 0.0085220913 -1.908421e-03
#> [3,] 0.0047922982 0.0008789316 -1.908479e-03
#> [4,] 0.0028673615 -0.0062801598 -1.132963e-03
#> [5,] 0.0080366237 0.0010793861 -7.232830e-03
#> [6,] -0.0061656492 0.0083643541 -2.758769e-03
#> [7,] -0.0080114199 -0.0062033197 4.553525e-03
#> [8,] 0.0006888202 0.0076752447 9.725048e-03
#> [9,] -0.0029419869 0.0079036858 -7.495971e-03
#> [10,] -0.0011790375 0.0097713338 -1.202918e-03
#> [11,] 0.0012250383 -0.0015515248 2.447500e-03
#> [12,] 0.0018398017 -0.0070728049 -3.026401e-03
#> [13,] 0.0087450867 -0.0062946529 -1.394902e-03
#> [14,] 0.0065550766 -0.0069294610 2.396136e-03
#> [15,] -0.0030396846 0.0028311002 8.503313e-03
#> [16,] -0.0019680972 0.0026498845 -3.977120e-03
#> [17,] 0.0035768726 0.0049580126 6.830826e-03
#> [18,] 0.0006256678 0.0088542781 2.780382e-03
#> [19,] -0.0099711034 0.0021352943 8.744064e-04
#> [20,] -0.0085101676 -0.0087703394 -7.252224e-03
#> [21,] -0.0028271391 -0.0032887361 -1.828240e-03
#> [22,] -0.0079838673 0.0043019465 7.502448e-03
#> [23,] 0.0001737718 -0.0017162139 -4.108727e-03
#> [24,] 0.0093835945 0.0050491594 1.934096e-03
#> [25,] -0.0020036394 0.0068283860 -1.484930e-03
#> [26,] -0.0082353506 0.0080715668 -7.904536e-03
#> [27,] 0.0005767927 0.0041543067 2.803204e-03
#> [28,] 0.0086768129 -0.0080712857 2.699075e-05
#> [29,] 0.0038968253 -0.0061933544 7.918596e-03
#> [30,] -0.0031470991 -0.0058318664 -8.436244e-03
#> [31,] -0.0029613733 -0.0047185251 -3.841216e-03
#> [32,] 0.0069886823 -0.0077702175 6.599277e-03
#> [33,] 0.0024468334 -0.0078867235 -8.836028e-03
#> [34,] 0.0080644684 0.0049693606 7.185206e-03
#> [35,] -0.0026684931 0.0094337330 -4.310124e-03
#> [36,] 0.0097486683 0.0071273835 -4.622817e-03
#> [37,] -0.0031669651 0.0079496680 -5.809397e-03
#> [38,] 0.0057971367 -0.0064638016 6.931980e-03
#> [39,] -0.0067298187 -0.0079483790 -4.908143e-03
#> [40,] 0.0069486917 0.0028332293 8.764649e-03
#> [41,] -0.0081894291 0.0058049546 3.807404e-03
#> [42,] 0.0051319804 0.0005169622 -3.146600e-03
#> [43,] 0.0068124540 -0.0014106342 2.722901e-03
#> [44,] -0.0003855060 -0.0007895493 -4.236341e-03
#> [45,] 0.0012020314 0.0072803056 -5.930592e-03
#> [46,] 0.0010315306 -0.0062901867 -7.717957e-03
#> [47,] 0.0081570238 0.0025854880 -2.287048e-03
#> [48,] -0.0017180972 -0.0031161538 7.893594e-03
#> [49,] -0.0027189799 0.0051972852 -7.580571e-03
#> [50,] -0.0016389407 -0.0077337271 1.732173e-03