How to select variables from dataframe inside other recursive dataframe in r - r

Question

I have the following dataframe:
str(data_raw)
'data.frame': 20 obs. of 18 variables:
$ id : chr "2306173214621953247_176548637" "2304792897512042631_176548637" "2298783867773662543_176548637" "2249480367030200759_176548637" ...
$ user :'data.frame': 20 obs. of 4 variables:
..$ id : chr "176548637" "176548637" "176548637" "176548637" ...
..$ full_name : chr "Carlos Costa" "Carlos Costa" "Carlos Costa" "Carlos Costa" ...
But when I try to get the user$id variable, it shows the error:
data_raw<- data_raw %>%
select(id,user.id)
Error: Can't subset columns that don't exist.
x The column user.id doesn't exist.
I also tried this way:
data_raw<- data_raw %>%
+ select(id,user$id)
Error: object 'user' not found
I know that the user variable is a dataframe, but how do I get information from a dataframe within another dataframe?

Answer 1

I simplified the structure to help. The dataframe has only 1 line.
dput(head(data_raw, 2))
structure(list(id = "2306173214621953247_176548637", user = structure(list(
id = "176548637", full_name = "Carlos Costa", profile_picture = "link.com",
username = "carlosocosta"), row.names = 1L, class = "data.frame"),
images = structure(list(thumbnail = structure(list(width = 150L, height = 150L, url = "link.com"), row.names = 1L, class = "data.frame"),
low_resolution = structure(list(width = 320L, height = 320L,
url = "link.com"), row.names = 1L, class = "data.frame"),
standard_resolution = structure(list(width = 640L, height = 640L,
url = "link.com"), row.names = 1L, class = "data.frame")), row.names = 1L, class = "data.frame"),
created_time = "1589137292", caption = structure(list(id = "18105905566138276",
text = "Não basta ser mãe! Tem que aprender a jogar Fortnite! Feliz dia das mães! #maedemenino",
created_time = "1589137292", from = structure(list(id = "176548637",
full_name = "Carlos Costa", profile_picture = "link.com",
username = "carlosocosta"), row.names = 1L, class = "data.frame")), row.names = 1L, class = "data.frame"),
user_has_liked = FALSE, likes = structure(list(count = 69L), row.names = 1L, class = "data.frame"),
tags = list("maedemenino"), filter = "Normal", comments = structure(list(
count = 3L), row.names = 1L, class = "data.frame"), type = "image",
link = "link.com", location = structure(list(
latitude = NA_real_, longitude = NA_real_, name = NA_character_,
id = NA_integer_), row.names = 1L, class = "data.frame"),
attribution = NA, users_in_photo = list(structure(list(user = structure(list(
username = "vivicosta_oficial"), class = "data.frame", row.names = 1L),
position = structure(list(x = 0.2210144928, y = 0.5857487923), class = "data.frame", row.names = 1L)), class = "data.frame", row.names = 1L)),
carousel_media = list(NULL), videos = structure(list(standard_resolution = structure(list(
width = NA_integer_, height = NA_integer_, url = NA_character_,
id = NA_character_), row.names = 1L, class = "data.frame"),
low_resolution = structure(list(width = NA_integer_,
height = NA_integer_, url = NA_character_, id = NA_character_), row.names = 1L, class = "data.frame"),
low_bandwidth = structure(list(width = NA_integer_, height = NA_integer_,
url = NA_character_, id = NA_character_), row.names = 1L, class = "data.frame")), row.names = 1L, class = "data.frame"),
video_views = NA_integer_), row.names = 1L, class = "data.frame")

Answer 2

Since we have a dataframe inside a dataframe, make it a single dataframe using do.call +cbind and then subset the columns needed.
do.call(cbind, data_raw)[c('id', 'user.id')]
# id user.id
#1 2306173214621953247_176548637 176548637
#2 2304792897512042631_176548637 176548637
Or with dplyr::select
library(dplyr)
do.call(cbind, data_raw) %>% select(id, user.id)
data
Tested on this data :
data_raw <- data.frame(id = c('2306173214621953247_176548637',
'2304792897512042631_176548637'))
user <- data.frame(id = c('176548637', '176548637'), full_name = c('a', 'b'))
data_raw$user <- user
str(data_raw)
#'data.frame': 2 obs. of 2 variables:
# $ id : chr "2306173214621953247_176548637" "2304792897512042631_176548637"
# $ user:'data.frame': 2 obs. of 2 variables:
# ..$ id : chr "176548637" "176548637"
# ..$ full_name: chr "a" "b"