Reputation: 324
How can I create an exponential percentage column in a data frame between the years 2022 and 2040 which is bound by the range 1% and x% where I can set the "peak" of the exponential equation?
In the expected outcome table below, the percentage starts to increase by 1%, then 2%... then "peaks" at a growth rate of 5% between 25%-35%, then decreases back to 2-3% growth rate.
Here's an example of what I would like to accomplish:
Example Outcome
end_growth_rate <- 48
2022 1%
2023 2%
2024 3%
2025 4%
2026 6%
2027 8%
2028 10%
2029 12%
2030 15%
2031 18%
2032 21%
2033 25%
2034 30%
2035 35%
2036 39%
2037 42%
2038 44%
2039 46%
2040 48%
Thanks a lot for any help! Much appreciated! Happy to explain more if any clarification is required.
Upvotes: 2
Views: 184
Reputation: 160437
The fact that you're putting something into a data.table
or data.frame
seems immaterial. What you're asking for is simply a function of start, end, and curve-type. This might be a sigmoid function (aka "logistic function").
Try this:
mysigmoid <- function(n, min, max, maxe = 4, mine = -maxe) {
y <- 1 / (1 + exp(-seq(mine, maxe, len = max(0, n))))
min + (max - min) * (y - y[1]) / (y[n] - y[1])
}
You'll need to play around with the two exponential endpoints (maxe
and mine
, they correspond to the left/right x
values used in the exponential equation in the sigmoid link above) to get the perfect spread. Using "-3 to 2", I'm able to get "starting with 1%, ending with 1.9%", which seems close to your communicated intent.
round(mysigmoid(19, 1, 49, 2, -3), 1)
# [1] 1.0 1.8 2.9 4.2 5.8 7.9 10.3 13.1 16.4 20.0 23.9 27.9 31.8 35.6 39.1
# [16] 42.2 44.9 47.1 49.0
round(diff(mysigmoid(19, 1, 49, 2, -3)), 1)
# [1] 0.8 1.0 1.3 1.6 2.0 2.4 2.9 3.3 3.6 3.9 4.0 4.0 3.8 3.5 3.1 2.7 2.3 1.9
(And then just assign them to the frame or table column of your choice.)
Upvotes: 2