I have a panel data (individuals observed in different time periods) like df, with much more individuals in my dataset:
id <- c("1", "1", "1", "2", "2", "2")
t <- c("1", "2", "3", "1", "2", "3")
w <- c("0.17", "NA", "NA", "0.23", "NA", "NA")
alpha <- c("0.15", "0.15", "0.15", "0.15", "0.15", "0.15")
rho <- c("0.10", "0.21", "0.32", "0.12", "0.2", "0.08")
df <- data.frame(id, t, w, alpha, rho)
I would like to fill w following these mathematical dynamics: w_id_t = w_id_t-1 * alpha + rho_id_t. However, I do not know how to move the outcome in such a way that appears in the following line, so I can continue with the dynamic calculations. The outcome should look like df_dynamics:
w_new <- c("0.17", "0.2355", "0.345", "0.23", "0.2345", "0.115")
df_dynamics <- data.frame(id, t, w_new, alpha, rho)
Any clue?
The columns are all character class. We may need to convert to numeric first and then do a group by operation
library(dplyr)
type.convert(df, as.is = TRUE) %>%
group_by(id) %>%
mutate(w = coalesce(w, lag(first(w) * first(alpha) + lead(rho)))) %>%
ungroup
# A tibble: 6 × 5
id t w alpha rho
<int> <int> <dbl> <dbl> <dbl>
1 1 1 0.17 0.15 0.1
2 1 2 0.236 0.15 0.21
3 1 3 0.346 0.15 0.32
4 2 1 0.23 0.15 0.12
5 2 2 0.234 0.15 0.2
6 2 3 0.114 0.15 0.08