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 x 4
#>      ...1    ...2    ...3    ...4
#>     <dbl>   <dbl>   <dbl>   <dbl>
#>  1  0.701 -0.395   0.788   0.709 
#>  2  0.856  0.824  -0.514  -0.492 
#>  3  1.22  -0.769   0.557   0.529 
#>  4 -0.746  0.178  -0.167  -0.166 
#>  5 -0.454 -0.792   0.841   0.745 
#>  6 -0.437  1.14    0.346   0.339 
#>  7 -0.515 -0.0270  0.114   0.114 
#>  8  0.626 -0.220   0.162   0.161 
#>  9 -0.522  0.270  -0.0572 -0.0572
#> 10 -0.236 -1.57   -0.288  -0.284 
#> # ... with 90 more rows
sinData(2, 100, 200)
#> New names:
#> * `` -> ...1
#> * `` -> ...2
#> # A tibble: 100 x 2
#>      ...1   ...2
#>     <dbl>  <dbl>
#>  1 -0.178 -0.153
#>  2  1.18   0.917
#>  3  0.816  0.737
#>  4 -0.447 -0.454
#>  5  0.768  0.676
#>  6 -0.210 -0.217
#>  7  0.176  0.140
#>  8 -1.21  -0.948
#>  9  0.962  0.793
#> 10 -0.233 -0.258
#> # ... with 90 more rows