Assume I have longitudinal data (e.g. 21 countries' gdp over 5 years) with 2 variables of the same scale. data is sorted as follows
Country-year | x1 | x2 |
---|---|---|
USA-1 | 50 | 2 |
USA-2 | 47 | 1.5 |
USA-5 | 52 | 1.9 |
UK-1 | 63 | 2 |
UK-5 | 41 | 3 |
n = 21 m = 5 N = n * m set.seed(123) x <- MASS::mvrnorm(N, rep(0,2), diag(2))
I want to do two things:
- First, calculate the mean country-wise
- Second, calculate the mean year-wise
For the first task, I have the following code
x_barbar <- NULL k = 1 for(i in 1:n){ x_barbar[i] <- mean(x[k:(k + (m - 1)), ]) k = k + m }
How can I optimize my code for the first task and figure out a code to do the second task.
Your help is appreciated.
https://stackoverflow.com/questions/67341418/how-to-calculate-overall-mean-for-subsets-in-r May 01, 2021 at 07:09AM
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