我正在将许多csv文件导入Rstudio，这些文件的列中包含日期和时间（最初是在熊猫中生成的）。文件导入没有任何问题，但是当我尝试将它们与rbind结合使用时，出现如下错误：
Error in as.POSIXlt.character(x, tz, ...) :
character string is not in a standard unambiguous format
我尝试设置时区，但这不起作用。
下面是显示类和对象外观的代码。
class(dd1$timestamp_datetime)
[1] "POSIXct" "POSIXt"
glimpse(dd1$timestamp_datetime)
POSIXct[1:10923], format: "2018-04-21 15:30:53" "2018-01-22 08:00:12" "2018-11-16 09:50:13" "2018-07-28 06:30:18" "2018-04-17 18:20:50"
该格式对我来说看起来不错，但对R而言不行。我计划将此数据集用于时间序列分析，因此datetime部分非常重要。我应该怎么做才能使其正常工作？
更新： 这里是。与数字都不同有关系吗？他们曾经是大熊猫的索引。删除此行会有所帮助吗？
glimpse(dd1$X1)
num [1:10923] 2 72 82 96 102 103 109 115 125 127 ...
> glimpse(dd2$X1)
chr [1:74615] "0" "1" "6" "7" "8" "9" "10" "11" "12" "13" "15" "16" "18" "19" "20" "21" "23" "25" "26" "27" "28" "30" "34" ...
> glimpse(dd3$X1)
chr [1:51843] "4" "6" "10" "13" "14" "15" "16" "22" "24" "27" "30" "33" "34" "35" "36" "38" "39" "41" "42" "49" "50" "51" ...
> glimpse(dd4$X1)
num [1:48747] 2 3 5 7 9 12 17 18 20 21 ...
已添加其他代码：
dput(head(dd1))
structure(list(X1 = c(2, 72, 82, 96, 102, 103), text = c("RT @ThatTimWalker: Can’t help but think the hostile environment the Brextremists are creating is for themselves.",
"RT @ThatTimWalker: The sad thing is if this country hadn’t been conned by Brextremists we’d be a very prosperous country now and respected…",
"RT @Kevin_Maguire: Update on Brextremist monied elite:\nJames Dyson: Building factory in Singapore\nJim Ratcliffe: Moving to Monaco\nArron Ban…",
"RT @ThatTimWalker: Why are the new revelations of dirty tricks and lies by the Brextremist groups during the EU Referendum considered stron…",
"RT @EK_EuropeanMove: #Kipper #Leaver or #Brextremist hard to tell which cannot tell the difference between the extreme right nationalist id…",
"RT @mrjamesob: May clearly thought that Brextremists would eventually be forced by the sheer weight of evidence & events to acknowledge rea…"
), timestamp_datetime = structure(c(1524324653.333, 1516608012.083,
1542361813.274, 1532759418.257, 1523989250.856, 1506776455.518
), class = c("POSIXct", "POSIXt"), tzone = "UTC"), tweet_id = c(987715301230903296,
955349361969393664, 1063368633320132608, 1023093269490790400,
986308521280106496, 914112824942657536), keyword = c("brextremist",
"brextremist", "brextremist", "brextremist", "brextremist", "brextremist"
)), row.names = c(NA, -6L), problems = structure(list(row = c(6721L,
6722L, 6722L, 6723L, 6723L, 6723L, 8175L, 8176L, 8176L, 8177L,
8177L, 8178L, 8178L, 8179L, 8179L, 8179L, 10805L, 10806L, 10806L,
10806L), col = c(NA, "X1", NA, "X1", "timestamp_datetime", NA,
NA, "X1", NA, "X1", NA, "X1", NA, "X1", "timestamp_datetime",
NA, NA, "X1", "timestamp_datetime", NA), expected = c("4 columns",
"a double", "4 columns", "a double", "date like ", "4 columns",
"4 columns", "a double", "4 columns", "a double", "4 columns",
"a double", "4 columns", "a double", "date like ", "4 columns",
"4 columns", "a double", "date like ", "4 columns"), actual = c("2 columns",
"#MacronPresident", "1 columns", , "861526132977434624",
"3 columns", "2 columns", "Blame Remainers", "1 columns", "Blame Scotland",
"1 columns", "Blame Ireland", "1 columns", "But never blame #PartybeforeCountry self serving #Brextremist #Tories",
"970756341433360385", "3 columns", "2 columns", "Ha.. You Brextremists are doing that brah. Be an adult and accept the consequences of your decision",
"803893962457153536", "3 columns"), file = c("'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'", "'brextrem_only2.csv'", "'brextrem_only2.csv'",
"'brextrem_only2.csv'")), row.names = c(NA, -20L), class = c("tbl_df",
"tbl", "data.frame")), class = c("tbl_df", "tbl", "data.frame"
))
dput(head(dd2))
structure(list(X1 = c("0", "1", "6", "7", "8", "9"), text = c("@Bigandybruce @curtislauraj @davidschneider @daveleaper @Sean_x_Larkin The average remoaner has yet to have their b… ,
"RT @2tweetaboutit: Remoaner Emily Thornberry slapped down for trying to delay and complicate Brexit talks,
"RT @henrybutcher56: #Marr Marrs reference to Vince Cable as “remoaner in chief” once more exposes the disgraceful BBC news editorial bias t…",
"@jacquep @BrexitJustice Regarde:Not what remoaners want hear, more good news!",
"RT @CllrBSilvester: Two traitors who think they know better than the 17.4m.\nThe arrogance of the #REMOANERS is breathtaking.\nIf they think…",
"RT @arhselk: Great Tweet!Me thinks remoaner’s retweets will be as scarce as an unemployed financial expert living in London. “Project Pathe…"
), timestamp_datetime = c("2017-12-29 15:30:06.111", "2016-10-11 04:27:59.027",
"2018-04-30 10:50:30.577", "2016-09-02 13:14:53.566", "2018-07-20 21:10:40.279",
"2018-08-14 19:30:24.355"), tweet_id = c(946765274354765824,
785698434561019904, 990906232268521472, 771697908789968896, 1020415718184153088,
1029450182210015232), keyword = c("remoaner", "remoaner", "remoaner",
"remoaner", "remoaner", "remoaner")), row.names = c(NA, -6L), problems = structure(list(
row = c(106L, 107L, 108L, 109L, 110L, 111L, 1785L, 1786L,
3166L, 3167L, 3168L, 6078L, 6079L, 6080L, 6106L, 6107L, 6108L,
6250L, 6251L, 6252L, 6253L, 8568L, 8569L, 8737L, 8738L, 8739L,
8740L, 8744L, 8745L, 8746L, 13232L, 13233L, 13234L, 14713L,
14714L, 15675L, 15676L, 15677L, 18672L, 18673L, 19735L, 19736L,
19737L, 19738L, 19739L, 19740L, 19773L, 19774L, 19775L, 20609L,
20610L, 20611L, 20774L, 20775L, 20776L, 23594L, 23595L, 23596L,
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28390L, 28530L, 28531L, 28532L, 28533L, 28969L, 28970L, 30090L,
30091L, 30539L, 30540L, 30541L, 37020L, 37021L, 37620L, 37621L,
38702L, 38703L, 39489L, 39490L, 40052L, 40053L, 40054L, 40729L,
40730L, 40731L, 40732L, 41786L, 41787L, 42883L, 42884L, 42885L,
46803L, 46804L, 50709L, 50710L, 50711L, 51985L, 51986L, 52230L,
52231L, 52232L, 52233L, 54097L, 54098L, 54099L, 54100L, 54134L,
54135L, 54136L, 54137L, 54251L, 54252L, 54253L, 57349L, 57350L,
57848L, 57849L, 57850L, 58202L, 58203L, 58204L, 59773L, 59774L,
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72219L, 72220L, 72221L, 74473L, 74474L, 74475L, 74476L),
col = c(NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
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NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_), expected = c("4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
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"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
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"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns", "4 columns",
"4 columns", "4 columns", "4 columns", "4 columns"), actual = c("2 columns",
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"2 columns", "1 columns", "1 columns", "3 columns", "2 columns",
"1 columns", "1 columns", "3 columns", "2 columns", "1 columns",
"1 columns", "3 columns", "2 columns", "1 columns", "1 columns",
"3 columns"), file = c("'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
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"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'", "'remoan_only2.csv'", "'remoan_only2.csv'",
"'remoan_only2.csv'")), row.names = c(NA, -177L), class = c("tbl_df",
"tbl", "data.frame")), class = c("tbl_df", "tbl", "data.frame"
))
>