R：如何存储 foreach 循环的输出？
R: how to store the output of a foreach loop?
我试图在 R 中存储 foreach 循环的输出。我使用的代码如下：
tweets_all = list()
foreach(i = 1:5, .packages = c("magrittr", "foreach", "academictwitteR")) %dopar% {
tweets_all[[i]] = bind_tweets(data_path = paste0("./data_new/data", i), output_format = "tidy")
}
所以基本上我遵循存储 for 循环输出的逻辑，首先创建一个空列表 tweets_all，然后将每次迭代的输出放入该列表。但是，输出没有存储在 tweets_all 列表中，tweets_all 列表仍然是空的。而上面代码的输出是这样自动打印出来的：
[[1]]
# A tibble: 17,854 x 31
tweet_id user_username text possibly_sensit~ conversation_id author_id source lang created_at user_url user_protected user_created_at user_profile_im~
<chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr>
1 146544706849~ kwcpainter RT @~ FALSE 14654470684960~ 349969646 Tweet~ en 2021-11-2~ "" FALSE 2011-08-07T00:~ https://pbs.twi~
2 146544705236~ Deepdiver600 RT @~ FALSE 14654470523604~ 14195830~ Twitt~ en 2021-11-2~ "" FALSE 2021-07-26T08:~ https://pbs.twi~
3 146544705200~ Jabroni_Niner RT @~ FALSE 14654470520079~ 468137468 Twitt~ en 2021-11-2~ "" FALSE 2012-01-19T06:~ https://pbs.twi~
4 146544704385~ St_Diogenes RT @~ FALSE 14654470438585~ 13997184~ Twitt~ en 2021-11-2~ "" FALSE 2021-06-01T13:~ https://pbs.twi~
5 146544703368~ kristinkgl RT @~ FALSE 14654470336874~ 10936760~ Twitt~ en 2021-11-2~ "" FALSE 2013-01-16T00:~ https://pbs.twi~
6 146544702777~ ivory319 RT @~ FALSE 14654470277733~ 48449979~ Twitt~ en 2021-11-2~ "" FALSE 2016-01-25T10:~ https://pbs.twi~
7 146544702475~ VeritasTB2 RT @~ FALSE 14654470247535~ 85285252~ Twitt~ en 2021-11-2~ "" FALSE 2017-04-14T11:~ https://pbs.twi~
8 146544702070~ scot79033947 RT @~ FALSE 14654470207061~ 13556114~ Twitt~ en 2021-11-2~ "" FALSE 2021-01-30T20:~ https://pbs.twi~
9 146544701752~ ukcitizen007 RT @~ FALSE 14654470175267~ 12242558~ Twitt~ en 2021-11-2~ "" FALSE 2020-02-03T08:~ https://pbs.twi~
10 146544701752~ lucashartley~ RT @~ FALSE 14654470175224~ 14450708~ Twitt~ en 2021-11-2~ "" FALSE 2021-10-04T16:~ https://pbs.twi~
# ... with 17,844 more rows, and 18 more variables: user_description <chr>, user_verified <lgl>, user_name <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>, in_reply_to_user_id <chr>
[[2]]
# A tibble: 6,741 x 31
tweet_id user_username text created_at conversation_id source author_id lang possibly_sensit~ user_profile_im~ user_created_at user_verified user_location
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <lgl> <chr>
1 14312213~ gpalmen RT @~ 2021-08-2~ 14312213388286~ Twitt~ 22672330 en FALSE https://pbs.twi~ 2009-03-03T20:~ FALSE "Mook"
2 14312213~ loyddaroyd RT @~ 2021-08-2~ 14312213222108~ TwitP~ 255531287 en FALSE https://pbs.twi~ 2011-02-21T15:~ FALSE "FL, USA"
3 14312213~ realdhbenson RT @~ 2021-08-2~ 14312213148538~ Twitt~ 89227576~ en FALSE https://pbs.twi~ 2017-08-01T06:~ FALSE "British Col~
4 14312213~ AliceBallard~ RT @~ 2021-08-2~ 14312213037349~ Twitt~ 70978902~ en FALSE https://pbs.twi~ 2016-03-15T17:~ FALSE " USA"
5 14312213~ scarredbushi~ RT @~ 2021-08-2~ 14312213004758~ Twitt~ 75023725~ en FALSE https://pbs.twi~ 2016-07-05T07:~ FALSE "Hinata Spri~
6 14312212~ Jamie04042155 RT @~ 2021-08-2~ 14312212986598~ Twitt~ 11001545~ en FALSE https://pbs.twi~ 2019-02-25T22:~ FALSE NA
7 14312212~ BertvantZand RT @~ 2021-08-2~ 14312212906990~ Twitt~ 12808028~ en FALSE https://pbs.twi~ 2013-03-19T15:~ FALSE NA
8 14312212~ jussaguy2u RT @~ 2021-08-2~ 14312212745424~ Twitt~ 23021090 en FALSE https://pbs.twi~ 2009-03-06T03:~ FALSE "Nunya"
9 14312212~ sandrabloomB RT @~ 2021-08-2~ 14312212665272~ Twitt~ 40407170~ en FALSE https://pbs.twi~ 2015-10-25T18:~ FALSE "Global"
10 14312212~ b_indaclouds RT @~ 2021-08-2~ 14312212643881~ Twitt~ 525362634 en FALSE https://pbs.twi~ 2012-03-15T13:~ FALSE "NC"
# ... with 6,731 more rows, and 18 more variables: user_name <chr>, user_protected <lgl>, user_url <chr>, user_description <chr>, user_pinned_tweet_id <chr>,
# retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>, user_followers_count <int>,
# user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>, sourcetweet_author_id <chr>,
# in_reply_to_user_id <chr>
[[3]]
# A tibble: 6,439 x 31
tweet_id user_username text created_at source possibly_sensit~ conversation_id lang author_id in_reply_to_use~ user_name user_verified user_profile_im~
<chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <chr> <lgl> <chr>
1 13961156432~ Adaya77 "To ~ 2021-05-2~ Twitt~ FALSE 13961156432298~ en 16395830 NA "Adaya77" FALSE https://pbs.twi~
2 13961153462~ PeaknikMicki "CDC~ 2021-05-2~ Twitt~ FALSE 13961153462059~ en 88940731~ NA "Peaknik~ FALSE https://pbs.twi~
3 13961146269~ benstu37 "RT ~ 2021-05-2~ Twitt~ FALSE 13961146269376~ en 741552206 NA "BOB the~ FALSE https://pbs.twi~
4 13961144860~ WorthingtonE~ "RT ~ 2021-05-2~ Twitt~ FALSE 13961144860339~ en 70883242 NA "Proneto~ FALSE https://pbs.twi~
5 13961143524~ T2Rantor "RT ~ 2021-05-2~ Twitt~ FALSE 13961143524539~ en 10372470~ NA "Rantor" FALSE https://pbs.twi~
6 13961122762~ marina_sapir "Cyc~ 2021-05-2~ Twitt~ FALSE 13961122762776~ en 98851699~ NA "Marina ~ FALSE https://pbs.twi~
7 13961121089~ Yorksceptic "Two~ 2021-05-2~ Twitt~ FALSE 13961121089039~ en 99938813 NA "Sir Ian" FALSE https://pbs.twi~
8 13961116823~ SouthILdream~ "RT ~ 2021-05-2~ Twitt~ FALSE 13961116823012~ en 83728699~ NA "Red Red~ FALSE https://pbs.twi~
9 13961101930~ TonyGreyMan "RT ~ 2021-05-2~ Twitt~ FALSE 13961101930214~ en 11766208~ NA "Tony" FALSE https://pbs.twi~
10 13961099635~ fgiangerelli "RT ~ 2021-05-2~ Twitt~ FALSE 13961099635844~ en 81932295~ NA "MAGA Fr~ FALSE https://pbs.twi~
# ... with 6,429 more rows, and 18 more variables: user_created_at <chr>, user_description <chr>, user_protected <lgl>, user_url <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>
[[4]]
# A tibble: 5,067 x 31
tweet_id user_username text created_at author_id possibly_sensit~ conversation_id source lang in_reply_to_use~ user_protected user_location
<chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <lgl> <chr>
1 1404971960656961539 VronikaSDB1 "RT @Yv~ 2021-06-1~ 572861879 FALSE 14049719606569~ Twitt~ en NA FALSE Monaco
2 1404959613712277507 FranceBis92 "RT @Yv~ 2021-06-1~ 10330186~ FALSE 14049596137122~ Twitt~ en NA FALSE France
3 1404947871963783173 NoelSully11 "RT @Ri~ 2021-06-1~ 78233909~ FALSE 14049478719637~ Twitt~ en NA FALSE United States
4 1404946634967031811 RiekiErasmusAtt "RT @tn~ 2021-06-1~ 10070835~ FALSE 14049466349670~ Twitt~ en NA FALSE Roodepoort/H~
5 1404946589911715841 RiekiErasmusAtt "Can th~ 2021-06-1~ 10070835~ FALSE 14049465899117~ Twitt~ en NA FALSE Roodepoort/H~
6 1404946316858478597 jasperlionel "RT @tn~ 2021-06-1~ 99329128~ FALSE 14049463168584~ Twitt~ en NA FALSE NA
7 1404942539992481794 CasseJ2 "RT @Yv~ 2021-06-1~ 13936841~ FALSE 14049425399924~ Twitt~ en NA FALSE NA
8 1404940933125181443 mtz_holly "RT @Yv~ 2021-06-1~ 13660867~ FALSE 14049409331251~ Twitt~ en NA FALSE NA
9 1404939998722412546 jean2florette "first-~ 2021-06-1~ 84418207~ FALSE 14049399987224~ Twitt~ en NA FALSE NA
10 1404939283258089484 corijkon "RT @Yv~ 2021-06-1~ 11078537~ FALSE 14049392832580~ Twitt~ en NA FALSE NA
# ... with 5,057 more rows, and 19 more variables: user_description <chr>, user_profile_image_url <chr>, user_url <chr>, user_verified <lgl>, user_name <chr>,
# user_created_at <chr>, user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>
[[5]]
# A tibble: 12,386 x 31
tweet_id user_username text created_at lang conversation_id possibly_sensit~ author_id source user_protected user_description user_profile_im~
<chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <lgl> <chr> <chr>
1 1490748491282452480 CarolynClburr RT @~ 2022-02-0~ en 14907484912824~ FALSE 84501053~ Twitt~ FALSE "" https://pbs.twi~
2 1490748475381719040 kathrine_munk RT @~ 2022-02-0~ en 14907484753817~ FALSE 13788268~ Twitt~ FALSE "I love aquariu~ https://pbs.twi~
3 1490748465894367234 zenjk0 RT @~ 2022-02-0~ en 14907484658943~ FALSE 21422783 Twitt~ FALSE "Slavic slav. S~ https://pbs.twi~
4 1490748449490411524 ArcticTidalSurg RT @~ 2022-02-0~ en 14907484494904~ FALSE 71129108~ Twitt~ FALSE "Drugs or vacci~ https://pbs.twi~
5 1490748446734696449 napoliangel10 RT @~ 2022-02-0~ en 14907484467346~ FALSE 480682459 Twitt~ FALSE "I'm not fuckin~ https://pbs.twi~
6 1490748438463627269 brights_lights RT @~ 2022-02-0~ en 14907484384636~ FALSE 14741131~ Twitt~ FALSE "« Le non-sens ~ https://pbs.twi~
7 1490748437595361282 funkymonkey374 RT @~ 2022-02-0~ en 14907484375953~ FALSE 14099191~ Twitt~ FALSE "" https://pbs.twi~
8 1490748435607269378 TonyGreyMan RT @~ 2022-02-0~ en 14907484356072~ FALSE 11766208~ Twitt~ FALSE "The Grey Man. ~ https://pbs.twi~
9 1490748427914948609 7_firefly RT @~ 2022-02-0~ en 14907484279149~ FALSE 13922322~ Twitt~ FALSE "<U+2640><U+FE0F>Patriot #TRUM~ https://pbs.twi~
10 1490748423921934337 Gingatossa1 RT @~ 2022-02-0~ en 14907484239219~ FALSE 242780839 Twitt~ FALSE "Vegan \U0001f4~ https://pbs.twi~
# ... with 12,376 more rows, and 19 more variables: user_verified <lgl>, user_created_at <chr>, user_url <chr>, user_name <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>, in_reply_to_user_id <chr>
有没有办法将每次迭代的输出存入空列表？如果您知道如何处理这个问题，请给我一些建议。感谢您的帮助！
您可以简单地这样做：
tweets_all = foreach(i = 1:5, .packages = c("magrittr", "foreach", "academictwitteR")) %dopar% {
bind_tweets(data_path = paste0("./data_new/data", i), output_format = "tidy")
}
我试图在 R 中存储 foreach 循环的输出。我使用的代码如下：
tweets_all = list()
foreach(i = 1:5, .packages = c("magrittr", "foreach", "academictwitteR")) %dopar% {
tweets_all[[i]] = bind_tweets(data_path = paste0("./data_new/data", i), output_format = "tidy")
}
所以基本上我遵循存储 for 循环输出的逻辑，首先创建一个空列表 tweets_all，然后将每次迭代的输出放入该列表。但是，输出没有存储在 tweets_all 列表中，tweets_all 列表仍然是空的。而上面代码的输出是这样自动打印出来的：
[[1]]
# A tibble: 17,854 x 31
tweet_id user_username text possibly_sensit~ conversation_id author_id source lang created_at user_url user_protected user_created_at user_profile_im~
<chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr>
1 146544706849~ kwcpainter RT @~ FALSE 14654470684960~ 349969646 Tweet~ en 2021-11-2~ "" FALSE 2011-08-07T00:~ https://pbs.twi~
2 146544705236~ Deepdiver600 RT @~ FALSE 14654470523604~ 14195830~ Twitt~ en 2021-11-2~ "" FALSE 2021-07-26T08:~ https://pbs.twi~
3 146544705200~ Jabroni_Niner RT @~ FALSE 14654470520079~ 468137468 Twitt~ en 2021-11-2~ "" FALSE 2012-01-19T06:~ https://pbs.twi~
4 146544704385~ St_Diogenes RT @~ FALSE 14654470438585~ 13997184~ Twitt~ en 2021-11-2~ "" FALSE 2021-06-01T13:~ https://pbs.twi~
5 146544703368~ kristinkgl RT @~ FALSE 14654470336874~ 10936760~ Twitt~ en 2021-11-2~ "" FALSE 2013-01-16T00:~ https://pbs.twi~
6 146544702777~ ivory319 RT @~ FALSE 14654470277733~ 48449979~ Twitt~ en 2021-11-2~ "" FALSE 2016-01-25T10:~ https://pbs.twi~
7 146544702475~ VeritasTB2 RT @~ FALSE 14654470247535~ 85285252~ Twitt~ en 2021-11-2~ "" FALSE 2017-04-14T11:~ https://pbs.twi~
8 146544702070~ scot79033947 RT @~ FALSE 14654470207061~ 13556114~ Twitt~ en 2021-11-2~ "" FALSE 2021-01-30T20:~ https://pbs.twi~
9 146544701752~ ukcitizen007 RT @~ FALSE 14654470175267~ 12242558~ Twitt~ en 2021-11-2~ "" FALSE 2020-02-03T08:~ https://pbs.twi~
10 146544701752~ lucashartley~ RT @~ FALSE 14654470175224~ 14450708~ Twitt~ en 2021-11-2~ "" FALSE 2021-10-04T16:~ https://pbs.twi~
# ... with 17,844 more rows, and 18 more variables: user_description <chr>, user_verified <lgl>, user_name <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>, in_reply_to_user_id <chr>
[[2]]
# A tibble: 6,741 x 31
tweet_id user_username text created_at conversation_id source author_id lang possibly_sensit~ user_profile_im~ user_created_at user_verified user_location
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <lgl> <chr>
1 14312213~ gpalmen RT @~ 2021-08-2~ 14312213388286~ Twitt~ 22672330 en FALSE https://pbs.twi~ 2009-03-03T20:~ FALSE "Mook"
2 14312213~ loyddaroyd RT @~ 2021-08-2~ 14312213222108~ TwitP~ 255531287 en FALSE https://pbs.twi~ 2011-02-21T15:~ FALSE "FL, USA"
3 14312213~ realdhbenson RT @~ 2021-08-2~ 14312213148538~ Twitt~ 89227576~ en FALSE https://pbs.twi~ 2017-08-01T06:~ FALSE "British Col~
4 14312213~ AliceBallard~ RT @~ 2021-08-2~ 14312213037349~ Twitt~ 70978902~ en FALSE https://pbs.twi~ 2016-03-15T17:~ FALSE " USA"
5 14312213~ scarredbushi~ RT @~ 2021-08-2~ 14312213004758~ Twitt~ 75023725~ en FALSE https://pbs.twi~ 2016-07-05T07:~ FALSE "Hinata Spri~
6 14312212~ Jamie04042155 RT @~ 2021-08-2~ 14312212986598~ Twitt~ 11001545~ en FALSE https://pbs.twi~ 2019-02-25T22:~ FALSE NA
7 14312212~ BertvantZand RT @~ 2021-08-2~ 14312212906990~ Twitt~ 12808028~ en FALSE https://pbs.twi~ 2013-03-19T15:~ FALSE NA
8 14312212~ jussaguy2u RT @~ 2021-08-2~ 14312212745424~ Twitt~ 23021090 en FALSE https://pbs.twi~ 2009-03-06T03:~ FALSE "Nunya"
9 14312212~ sandrabloomB RT @~ 2021-08-2~ 14312212665272~ Twitt~ 40407170~ en FALSE https://pbs.twi~ 2015-10-25T18:~ FALSE "Global"
10 14312212~ b_indaclouds RT @~ 2021-08-2~ 14312212643881~ Twitt~ 525362634 en FALSE https://pbs.twi~ 2012-03-15T13:~ FALSE "NC"
# ... with 6,731 more rows, and 18 more variables: user_name <chr>, user_protected <lgl>, user_url <chr>, user_description <chr>, user_pinned_tweet_id <chr>,
# retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>, user_followers_count <int>,
# user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>, sourcetweet_author_id <chr>,
# in_reply_to_user_id <chr>
[[3]]
# A tibble: 6,439 x 31
tweet_id user_username text created_at source possibly_sensit~ conversation_id lang author_id in_reply_to_use~ user_name user_verified user_profile_im~
<chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <chr> <lgl> <chr>
1 13961156432~ Adaya77 "To ~ 2021-05-2~ Twitt~ FALSE 13961156432298~ en 16395830 NA "Adaya77" FALSE https://pbs.twi~
2 13961153462~ PeaknikMicki "CDC~ 2021-05-2~ Twitt~ FALSE 13961153462059~ en 88940731~ NA "Peaknik~ FALSE https://pbs.twi~
3 13961146269~ benstu37 "RT ~ 2021-05-2~ Twitt~ FALSE 13961146269376~ en 741552206 NA "BOB the~ FALSE https://pbs.twi~
4 13961144860~ WorthingtonE~ "RT ~ 2021-05-2~ Twitt~ FALSE 13961144860339~ en 70883242 NA "Proneto~ FALSE https://pbs.twi~
5 13961143524~ T2Rantor "RT ~ 2021-05-2~ Twitt~ FALSE 13961143524539~ en 10372470~ NA "Rantor" FALSE https://pbs.twi~
6 13961122762~ marina_sapir "Cyc~ 2021-05-2~ Twitt~ FALSE 13961122762776~ en 98851699~ NA "Marina ~ FALSE https://pbs.twi~
7 13961121089~ Yorksceptic "Two~ 2021-05-2~ Twitt~ FALSE 13961121089039~ en 99938813 NA "Sir Ian" FALSE https://pbs.twi~
8 13961116823~ SouthILdream~ "RT ~ 2021-05-2~ Twitt~ FALSE 13961116823012~ en 83728699~ NA "Red Red~ FALSE https://pbs.twi~
9 13961101930~ TonyGreyMan "RT ~ 2021-05-2~ Twitt~ FALSE 13961101930214~ en 11766208~ NA "Tony" FALSE https://pbs.twi~
10 13961099635~ fgiangerelli "RT ~ 2021-05-2~ Twitt~ FALSE 13961099635844~ en 81932295~ NA "MAGA Fr~ FALSE https://pbs.twi~
# ... with 6,429 more rows, and 18 more variables: user_created_at <chr>, user_description <chr>, user_protected <lgl>, user_url <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>
[[4]]
# A tibble: 5,067 x 31
tweet_id user_username text created_at author_id possibly_sensit~ conversation_id source lang in_reply_to_use~ user_protected user_location
<chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <chr> <chr> <lgl> <chr>
1 1404971960656961539 VronikaSDB1 "RT @Yv~ 2021-06-1~ 572861879 FALSE 14049719606569~ Twitt~ en NA FALSE Monaco
2 1404959613712277507 FranceBis92 "RT @Yv~ 2021-06-1~ 10330186~ FALSE 14049596137122~ Twitt~ en NA FALSE France
3 1404947871963783173 NoelSully11 "RT @Ri~ 2021-06-1~ 78233909~ FALSE 14049478719637~ Twitt~ en NA FALSE United States
4 1404946634967031811 RiekiErasmusAtt "RT @tn~ 2021-06-1~ 10070835~ FALSE 14049466349670~ Twitt~ en NA FALSE Roodepoort/H~
5 1404946589911715841 RiekiErasmusAtt "Can th~ 2021-06-1~ 10070835~ FALSE 14049465899117~ Twitt~ en NA FALSE Roodepoort/H~
6 1404946316858478597 jasperlionel "RT @tn~ 2021-06-1~ 99329128~ FALSE 14049463168584~ Twitt~ en NA FALSE NA
7 1404942539992481794 CasseJ2 "RT @Yv~ 2021-06-1~ 13936841~ FALSE 14049425399924~ Twitt~ en NA FALSE NA
8 1404940933125181443 mtz_holly "RT @Yv~ 2021-06-1~ 13660867~ FALSE 14049409331251~ Twitt~ en NA FALSE NA
9 1404939998722412546 jean2florette "first-~ 2021-06-1~ 84418207~ FALSE 14049399987224~ Twitt~ en NA FALSE NA
10 1404939283258089484 corijkon "RT @Yv~ 2021-06-1~ 11078537~ FALSE 14049392832580~ Twitt~ en NA FALSE NA
# ... with 5,057 more rows, and 19 more variables: user_description <chr>, user_profile_image_url <chr>, user_url <chr>, user_verified <lgl>, user_name <chr>,
# user_created_at <chr>, user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>
[[5]]
# A tibble: 12,386 x 31
tweet_id user_username text created_at lang conversation_id possibly_sensit~ author_id source user_protected user_description user_profile_im~
<chr> <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <chr> <lgl> <chr> <chr>
1 1490748491282452480 CarolynClburr RT @~ 2022-02-0~ en 14907484912824~ FALSE 84501053~ Twitt~ FALSE "" https://pbs.twi~
2 1490748475381719040 kathrine_munk RT @~ 2022-02-0~ en 14907484753817~ FALSE 13788268~ Twitt~ FALSE "I love aquariu~ https://pbs.twi~
3 1490748465894367234 zenjk0 RT @~ 2022-02-0~ en 14907484658943~ FALSE 21422783 Twitt~ FALSE "Slavic slav. S~ https://pbs.twi~
4 1490748449490411524 ArcticTidalSurg RT @~ 2022-02-0~ en 14907484494904~ FALSE 71129108~ Twitt~ FALSE "Drugs or vacci~ https://pbs.twi~
5 1490748446734696449 napoliangel10 RT @~ 2022-02-0~ en 14907484467346~ FALSE 480682459 Twitt~ FALSE "I'm not fuckin~ https://pbs.twi~
6 1490748438463627269 brights_lights RT @~ 2022-02-0~ en 14907484384636~ FALSE 14741131~ Twitt~ FALSE "« Le non-sens ~ https://pbs.twi~
7 1490748437595361282 funkymonkey374 RT @~ 2022-02-0~ en 14907484375953~ FALSE 14099191~ Twitt~ FALSE "" https://pbs.twi~
8 1490748435607269378 TonyGreyMan RT @~ 2022-02-0~ en 14907484356072~ FALSE 11766208~ Twitt~ FALSE "The Grey Man. ~ https://pbs.twi~
9 1490748427914948609 7_firefly RT @~ 2022-02-0~ en 14907484279149~ FALSE 13922322~ Twitt~ FALSE "<U+2640><U+FE0F>Patriot #TRUM~ https://pbs.twi~
10 1490748423921934337 Gingatossa1 RT @~ 2022-02-0~ en 14907484239219~ FALSE 242780839 Twitt~ FALSE "Vegan \U0001f4~ https://pbs.twi~
# ... with 12,376 more rows, and 19 more variables: user_verified <lgl>, user_created_at <chr>, user_url <chr>, user_name <chr>, user_location <chr>,
# user_pinned_tweet_id <chr>, retweet_count <int>, like_count <int>, quote_count <int>, user_tweet_count <int>, user_list_count <int>,
# user_followers_count <int>, user_following_count <int>, sourcetweet_type <chr>, sourcetweet_id <chr>, sourcetweet_text <chr>, sourcetweet_lang <chr>,
# sourcetweet_author_id <chr>, in_reply_to_user_id <chr>
有没有办法将每次迭代的输出存入空列表？如果您知道如何处理这个问题，请给我一些建议。感谢您的帮助！
您可以简单地这样做：
tweets_all = foreach(i = 1:5, .packages = c("magrittr", "foreach", "academictwitteR")) %dopar% {
bind_tweets(data_path = paste0("./data_new/data", i), output_format = "tidy")
}