Generating sine wave sample

n-1 points are drawn from a normal distribution with mean=0, sd=1, the points in the final direction are calculated as the sine of the values of direction n-1 with additional jittering controled by the jitter factor f.

sinData(n, p, f = 1)

Arguments

n

sample dimensionality

p

number of sample points to generate

f

jitter factor, default=1

Value

sample points in tibble format

Examples

sinData(4, 100)
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> • `` -> `...3`
#> • `` -> `...4`
#> # A tibble: 100 × 4
#>      ...1    ...2   ...3   ...4
#>     <dbl>   <dbl>  <dbl>  <dbl>
#>  1  1.03   0.257   0.708  0.650
#>  2  0.317 -2.15   -0.480 -0.462
#>  3 -1.11   0.690  -0.317 -0.311
#>  4  0.621 -1.77    0.510  0.489
#>  5  1.81   0.546  -0.266 -0.263
#>  6  1.11   0.0189  0.636  0.594
#>  7  0.465 -0.749  -1.01  -0.849
#>  8 -1.07  -0.794   0.932  0.803
#>  9  0.256  0.301  -0.651 -0.606
#> 10 -0.777  0.0547  0.436  0.422
#> # ℹ 90 more rows
sinData(2, 100, 200)
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> # A tibble: 100 × 2
#>       ...1    ...2
#>      <dbl>   <dbl>
#>  1  0.0831  0.0527
#>  2 -1.89   -0.955 
#>  3  1.06    0.871 
#>  4  0.613   0.583 
#>  5  0.590   0.542 
#>  6 -0.0665 -0.0430
#>  7 -0.608  -0.599 
#>  8  0.947   0.787 
#>  9  0.393   0.396 
#> 10 -0.385  -0.413 
#> # ℹ 90 more rows