I am trying to perform an STL decomposition over multiple columns in a dataframe using the feasts package by Rob Hyndman (Forecasting Principles and Practice edition 3 author).
The code below works
dcmp1 <- a_tibble %>%
model(stl = STL(Cost))
components(dcmp1)
But now I want to generate multiple decompositions for different variables within a_tibble using a for loop. The problem I face is that I iterate over the names of the columns as if they were strings, and that yields an error
Specfically, I am running this code:
for (col_name in c("Cost", "sqrt_cost")){
dcmp <- model(a_tibble, stl = STL(.data[[col_name]]))
}
This yields the following warning everytime the statement within the for loop is run:
Warning: 1 error encountered for stl
[1] values must be length 1,
but FUN(X[[1]]) result is length 0
I have tried multiple approaches to be able make decompositions for multiple variables using iteration but to no avail.
Couls someone please let me know how I should iterate to avoid this problem?
Thanks
Ok, so I resorted to this post here:
dplyr - using column names as function arguments
It solved the issue. And it made me feel like I would need to study quite in depth this "quosure" thing.
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