I have a time series data
I want to create a dummy data from the original time series data by adding some noise.
How can i do that without compromising the data pattern (example: I have Mondays high value in my time series) - even after adding the noise I want to have high values on mondays.
I would multiply by a small amount of random uniform (runif()) amount or random normal (rnorm()) noise. For example, multiplying by a random +-5% of the value, or standard deviation 0.05.
df <- data.frame(x=1:10)
set.seed(2022)
df$y <- df$x * (1 + runif(n=10, min=-0.05, max=0.05))
df$z <- df$x * (1 + rnorm(n=10, sd=0.05))
> df
x y
1 1 1.031598
2 2 2.029452
3 3 2.886099
4 4 4.017520
5 5 4.842365
6 6 6.081475
7 7 6.702009
8 8 7.633581
9 9 8.883285
10 10 10.257253