Generate Random Noise Dimensions With Wavy Pattern

This function generates random noise dimensions by adding wavy patterns.

Usage

gen_wavydims3(n = 500, p = 4, data)

Arguments

n

A numeric value (default: 500) representing the sample size.

p

A numeric value (default: 4) representing the number of dimensions.

data

A matrix representing the first three dimensions of the data structure.

Value

A data containing the generated random noise dimensions.

Examples

set.seed(20240412)
df <- gen_scurve(n = 500, p = 4) |> as.matrix()
#> ✔ Wavy shaped noise dimensions generation completed successfully! 🎉
#> ✔ Data generation completed successfully! 🎉
gen_wavydims3(n = 500, p = 4, data = df)
#> ✔ Wavy shaped noise dimensions generation completed successfully! 🎉
#> # A tibble: 500 × 4
#>        x1    x2      x3    x4
#>     <dbl> <dbl>   <dbl> <dbl>
#>  1 -0.643 0.797 -1.78       0
#>  2  0.602 1.47  -0.199      0
#>  3 -0.771 0.353  1.63       0
#>  4 -0.983 1.21   0.789      0
#>  5  0.598 1.61   1.79       0
#>  6  0.232 0.706 -1.98       0
#>  7 -0.584 1.37  -1.81       0
#>  8 -0.314 0.468  0.0555     0
#>  9  0.974 0.752 -0.825      0
#> 10  0.531 1.84  -0.149      0
#> # ℹ 490 more rows