using purrr instead of for loop and updating object recursively
Given a data frame such as the following:
Using purrr::map() function to transform a list of objects to characters of their names
I would like to export a list of objects and use their names as part of the path, but I am having trouble to ‘extract’ their names in a less manual manner. Here is the simplified example code that outlines the issue:
R: purr and map: how to save intermediate computations?
Please consider the snippet at the end of the post.
I would like to be able to save (possibly as an RDS) the results of the computations while they progress (e.g. every time a new 10% of the list is processed). How can I do that?
Nested saving of purrr mapping objects in R
I think I have run into a very specific “idiosyncrasy” with purrr environmental variables that I do not understand.
Nested retrieval of purrr mapping object in R
I think I have run into a very specific “idiosyncrasy” with purrr environmental variables that I do not understand.
Mutate columns based on value in a vector
I would like to mutate new columns onto a dataframe using a function where the inputs to the function come from a vector. Like this:
How to print out a function’s inputs when creating a function factory with purrr::partial()
I’m playing around with purrr’s map() and partial() and want to try and create a list of functions with pre-configured inputs and when I use those function it will return the functions output AND print out the function’s configuration (also as a validation check to make sure I’ve correct configured the function)
purrr::pwalk throws error when mutating col while purrr::pmap does not
I’d like to understand why the first block works but the second does not. I believe it has something to do with the fact that pwalk does not actually output anything. However, the error is concated_cols must be size 150 or 1, not 2. I would have expected it to be size 1. What is it outputing?