I would like to convert a list like this into a tibble. lst <- list( "A"=list( "Category"="A", "Team"=c("x"), "City"="N" ), "C"=list( "Category"="C", "Team"=c( "x","v","z" ), "City"="V" ), "F"=list( "Category"="F", "Team"=c("o") ), "K"=list( "Category"="K", "Team"=c( "f","h","y" ), "City"="T" ), "B"=list( "Category"="B",…
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…
I am using map() to get post data from Facebook using the following code: posts_data <- map(posts$query_id, getPost, token = fb_oauth, n = 1000) However, some of the query_id observations are incorrect, or are shared events, which the API cannot…