I have many tibbles similar to this:
dftest_tw <- structure(list(text = c(\"RT @BitMEXdotcom: A new high: US$500M turnover in the last 24 hours, over 80% of i
We can use tidyverse
options. Get the value of multiple string objects with mget
, then with map2
from purrr
, create the new column 'Twitter.name in each dataset of the list
with corresponding string element of 'myUserList`
library(tidyverse)
lst <- mget(myUserList) %>%
map2(myUserList, ~mutate(.data = .x, Twitter.name = .y))
If we need to modify the objects in the global environment, use list2env
list2env(lst, envir = .GlobalEnv)