rbind 在 match.names(clabs, names(xi)) 中产生错误
rbind produces Error in match.names(clabs, names(xi))
类似的问题在 2010 年被问过。它有 12K 的浏览量，但没有解决方案。这是 post:
Merge multiple data frames - Error in match.names(clabs, names(xi)) : names do not match previous names
我从 Facebook 业务管理器下载了格式相同的报告。但是当我尝试使用 rbind(df1,df2) 组合它们时，我得到
Error in match.names(clabs, names(xi)) : names do not match
previous names
通过诊断，我比较了
x<-names(df1) to y<-names(df2)
x和y是一样的，我也检查了object.size(x)和object.size(y)，这些也是一样的。
gtools 包中的 smartbind 函数似乎有效，但我想了解如何在 base R 中解决这个问题。这是两个数据帧中的每一个的 2 行：
> dput(df1)
structure(list(Campaign.Name = c("Bad Kitty Drawn to Trouble",
"Bad Kitty Drawn to Trouble"), Results = c(0L, 0L), performance_indicator = c("",
""), Reach = c(17465L, 29848L), Cost.per.Result..USD. = c(0,
0), Amount.Spent..USD. = c(10.48, 35.83), Ends = c("2014-02-03",
"2014-02-03"), adgroup_id = c(NA, NA), Button.Clicks = c(0L,
0L), Campaign.ID = c(6014996473560, 6014996473560), campaign_id = c(NA,
NA), campaign_name = c(NA, NA), Clicks = c(41L, 229L), Cost.Per.All.Actions..USD. = c(0.80615384615385,
0.3852688172043), Cost.Per.Unique.Click..USD. = c(0.262, 0.16435779816514
), CPC..Cost.Per.Click...USD. = c(0.25560975609756, 0.15646288209607
), CPM..Cost.Per.1.000.Impressions...USD. = c(0.34396744124984,
0.61315992128005), Cost.Per.1.000.People.Reached..USD. = c(0.60005725737189,
1.2004154382203), CTR..Click.Through.Rate. = c(0.13456741499278,
0.39188842303414), Start.Date = c("2014-01-07", "2014-01-08"),
End.Date = c("2014-01-07", "2014-01-08"), Frequency = c(1.7445176066419,
1.9577526132404), Impressions = c(30468L, 58435L), Objective = c("NONE",
"NONE"), relevance_score.score = c(NA, NA), relevance_score.positive_feedback = c(NA,
NA), relevance_score.negative_feedback = c(NA, NA), Result.Rate..USD. = c(0,
0), Social.Clicks = c(0L, 4L), Social.Impressions = c(1239L,
5756L), Social.Reach = c(499L, 1749L), Amount.Spent.Today..USD. = c(0L,
0L), Total.Conversion.Value = c(0L, 0L), Actions = c(13L,
93L), People.Taking.Action = c(13L, 93L), Unique.Clicks = c(40L,
218L), Unique.Click.Through.Rate..uCTR. = c(0.22902948754652,
0.73036719378183), unique_social_clicks = c(0L, 4L), action_values.gift_sale = c(NA,
NA), actions.checkin = c(NA, NA), actions.receive_offer = c(NA,
NA), actions.follow = c(NA, NA), actions.games.plays = c(NA,
NA), actions.gift_sale = c(NA, NA), Page.Likes = c(13L, 91L
), Website.Clicks = c(NA_integer_, NA_integer_), Page.Mentions = c(NA_integer_,
NA_integer_), Page.Engagement = c(13L, 93L), Photo.Views = c(NA,
1L), Post.Shares = c(NA_integer_, NA_integer_), Post.Comments = c(NA_integer_,
NA_integer_), Post.Engagement = c(NA, 2L), Post.Likes = c(NA,
1L), actions.tab_view = c(NA, NA), actions.vote = c(NA, NA
), Cost.per.Check.In..USD. = c(NA, NA), Cost.per.Offer.Claim..USD. = c(NA,
NA), Cost.per.Question.Follow..USD. = c(NA, NA), Cost.per.Game.Play..USD. = c(NA,
NA), Cost.per.Gift.Sale..USD. = c(NA, NA), Cost.per.Page.Like..USD. = c(0.80615384615385,
0.39373626373626), Cost.per.Website.Click..USD. = c(NA_real_,
NA_real_), Cost.per.Page.Mention..USD. = c(NA_real_, NA_real_
), Cost.per.Page.Engagement..USD. = c(0.80615384615385, 0.3852688172043
), Cost.per.Photo.View..USD. = c(NA, 35.83), Cost.per.Post.Share..USD. = c(NA_real_,
NA_real_), Cost.per.Post.Comment..USD. = c(NA_real_, NA_real_
), Cost.per.Post.Engagement..USD. = c(NA, 17.915), Cost.per.Post.Like..USD. = c(NA,
35.83), Cost.per.Page.Tab.View..USD. = c(NA, NA), Cost.per.Question.Answer..USD. = c(NA,
NA), website_ctr.link_click = c(NA_real_, NA_real_), campaign_end = c(NA,
NA), campaign_start = c(NA, NA), Account = c("MCPG", "MCPG"
)), .Names = c("Campaign.Name", "Results", "performance_indicator",
"Reach", "Cost.per.Result..USD.", "Amount.Spent..USD.", "Ends",
"adgroup_id", "Button.Clicks", "Campaign.ID", "campaign_id",
"campaign_name", "Clicks", "Cost.Per.All.Actions..USD.", "Cost.Per.Unique.Click..USD.",
"CPC..Cost.Per.Click...USD.", "CPM..Cost.Per.1.000.Impressions...USD.",
"Cost.Per.1.000.People.Reached..USD.", "CTR..Click.Through.Rate.",
"Start.Date", "End.Date", "Frequency", "Impressions", "Objective",
"relevance_score.score", "relevance_score.positive_feedback",
"relevance_score.negative_feedback", "Result.Rate..USD.", "Social.Clicks",
"Social.Impressions", "Social.Reach", "Amount.Spent.Today..USD.",
"Total.Conversion.Value", "Actions", "People.Taking.Action",
"Unique.Clicks", "Unique.Click.Through.Rate..uCTR.", "unique_social_clicks",
"action_values.gift_sale", "actions.checkin", "actions.receive_offer",
"actions.follow", "actions.games.plays", "actions.gift_sale",
"Page.Likes", "Website.Clicks", "Page.Mentions", "Page.Engagement",
"Photo.Views", "Post.Shares", "Post.Comments", "Post.Engagement",
"Post.Likes", "actions.tab_view", "actions.vote", "Cost.per.Check.In..USD.",
"Cost.per.Offer.Claim..USD.", "Cost.per.Question.Follow..USD.",
"Cost.per.Game.Play..USD.", "Cost.per.Gift.Sale..USD.", "Cost.per.Page.Like..USD.",
"Cost.per.Website.Click..USD.", "Cost.per.Page.Mention..USD.",
"Cost.per.Page.Engagement..USD.", "Cost.per.Photo.View..USD.",
"Cost.per.Post.Share..USD.", "Cost.per.Post.Comment..USD.", "Cost.per.Post.Engagement..USD.",
"Cost.per.Post.Like..USD.", "Cost.per.Page.Tab.View..USD.", "Cost.per.Question.Answer..USD.",
"website_ctr.link_click", "campaign_end", "campaign_start", "Account"
), row.names = 1:2, class = "data.frame")
> dput(df2)
structure(list(Campaign.Name = c("Poison Pill", "Poison Pill"
), Results = c(0L, 0L), performance_indicator = c("", ""), Reach = c(3396L,
4481L), Cost.per.Result..USD. = c(0, 0), Amount.Spent..USD. = c(15,
15), Ends = c("2014-01-15", "2014-01-15"), adgroup_id = c(NA,
NA), Button.Clicks = c(0L, 0L), Campaign.ID = c(6009475894829,
6009475894829), campaign_id = c(NA, NA), campaign_name = c(NA,
NA), Clicks = c(118L, 235L), Cost.Per.All.Actions..USD. = c(0.13157894736842,
0.067873303167421), Cost.Per.Unique.Click..USD. = c(0.13761467889908,
0.070754716981132), CPC..Cost.Per.Click...USD. = c(0.1271186440678,
0.063829787234043), CPM..Cost.Per.1.000.Impressions...USD. = c(4.4117647058824,
3.3452274754683), Cost.Per.1.000.People.Reached..USD. = c(4.416961130742,
3.3474670832403), CTR..Click.Through.Rate. = c(3.4705882352941,
5.2408563782337), Start.Date = c("2014-01-03", "2014-01-04"),
End.Date = c("2014-01-03", "2014-01-04"), Frequency = c(1.0011778563015,
1.0006694934166), Impressions = c(3400L, 4484L), Objective = c("NONE",
"NONE"), relevance_score.score = c(NA, NA), relevance_score.positive_feedback = c(NA,
NA), relevance_score.negative_feedback = c(NA, NA), Result.Rate..USD. = c(0,
0), Social.Clicks = c(11L, 22L), Social.Impressions = c(521L,
734L), Social.Reach = c(521L, 734L), Amount.Spent.Today..USD. = c(0,
0), Total.Conversion.Value = c(0L, 0L), Actions = c(114L,
221L), People.Taking.Action = c(114L, 217L), Unique.Clicks = c(109L,
212L), Unique.Click.Through.Rate..uCTR. = c(3.2096584216726,
4.7310868109797), unique_social_clicks = c(11L, 20L), action_values.gift_sale = c(NA,
NA), actions.checkin = c(NA, NA), actions.receive_offer = c(NA,
NA), actions.follow = c(NA, NA), actions.games.plays = c(NA,
NA), actions.gift_sale = c(NA, NA), Page.Likes = c(3L, NA
), Website.Clicks = c(111L, 221L), actions.mention = c(NA,
NA), Page.Engagement = c(114L, 221L), Photo.Views = c(NA_integer_,
NA_integer_), Post.Shares = c(NA_integer_, NA_integer_),
Post.Comments = c(NA_integer_, NA_integer_), Post.Engagement = c(111L,
221L), Post.Likes = c(NA_integer_, NA_integer_), actions.tab_view = c(NA,
NA), actions.vote = c(NA, NA), Cost.per.Check.In..USD. = c(NA,
NA), Cost.per.Offer.Claim..USD. = c(NA, NA), Cost.per.Question.Follow..USD. = c(NA,
NA), Cost.per.Game.Play..USD. = c(NA, NA), Cost.per.Gift.Sale..USD. = c(NA,
NA), Cost.per.Page.Like..USD. = c(5, NA), Cost.per.Website.Click..USD. = c(0.13513513513514,
0.067873303167421), Cost.per.Page.Mention..USD. = c(NA, NA
), Cost.per.Page.Engagement..USD. = c(0.13157894736842, 0.067873303167421
), Cost.per.Photo.View..USD. = c(NA_real_, NA_real_), Cost.per.Post.Share..USD. = c(NA_real_,
NA_real_), Cost.per.Post.Comment..USD. = c(NA_real_, NA_real_
), Cost.per.Post.Engagement..USD. = c(0.13513513513514, 0.067873303167421
), Cost.per.Post.Like..USD. = c(NA_real_, NA_real_), Cost.per.Page.Tab.View..USD. = c(NA,
NA), Cost.per.Question.Answer..USD. = c(NA, NA), website_ctr.link_click = c(3.2647058823529,
4.92863514719), campaign_end = c(NA, NA), campaign_start = c(NA,
NA), Account = c("TF", "TF")), .Names = c("Campaign.Name",
"Results", "performance_indicator", "Reach", "Cost.per.Result..USD.",
"Amount.Spent..USD.", "Ends", "adgroup_id", "Button.Clicks",
"Campaign.ID", "campaign_id", "campaign_name", "Clicks", "Cost.Per.All.Actions..USD.",
"Cost.Per.Unique.Click..USD.", "CPC..Cost.Per.Click...USD.",
"CPM..Cost.Per.1.000.Impressions...USD.", "Cost.Per.1.000.People.Reached..USD.",
"CTR..Click.Through.Rate.", "Start.Date", "End.Date", "Frequency",
"Impressions", "Objective", "relevance_score.score", "relevance_score.positive_feedback",
"relevance_score.negative_feedback", "Result.Rate..USD.", "Social.Clicks",
"Social.Impressions", "Social.Reach", "Amount.Spent.Today..USD.",
"Total.Conversion.Value", "Actions", "People.Taking.Action",
"Unique.Clicks", "Unique.Click.Through.Rate..uCTR.", "unique_social_clicks",
"action_values.gift_sale", "actions.checkin", "actions.receive_offer",
"actions.follow", "actions.games.plays", "actions.gift_sale",
"Page.Likes", "Website.Clicks", "actions.mention", "Page.Engagement",
"Photo.Views", "Post.Shares", "Post.Comments", "Post.Engagement",
"Post.Likes", "actions.tab_view", "actions.vote", "Cost.per.Check.In..USD.",
"Cost.per.Offer.Claim..USD.", "Cost.per.Question.Follow..USD.",
"Cost.per.Game.Play..USD.", "Cost.per.Gift.Sale..USD.", "Cost.per.Page.Like..USD.",
"Cost.per.Website.Click..USD.", "Cost.per.Page.Mention..USD.",
"Cost.per.Page.Engagement..USD.", "Cost.per.Photo.View..USD.",
"Cost.per.Post.Share..USD.", "Cost.per.Post.Comment..USD.", "Cost.per.Post.Engagement..USD.",
"Cost.per.Post.Like..USD.", "Cost.per.Page.Tab.View..USD.", "Cost.per.Question.Answer..USD.",
"website_ctr.link_click", "campaign_end", "campaign_start", "Account"
), row.names = 1:2, class = "data.frame")
参见names(df1)==names(df2)。你会发现变量#47 的名称在 df1 和 df2 之间不同，这会导致错误。
要解决此问题，变量名称必须相同。要解决此问题，您可以执行以下操作：
names(df1)[47]=c("actions.mention") #change variable name
names(df1)==names(df2) #ensure names are the same
rbind(df1,df2) #rbind two data frames.
检查大小写和 labeling/column 顺序并确保它们相同。 survived 和 Survived 不一样 "R" 区分大小写。
类似的问题在 2010 年被问过。它有 12K 的浏览量，但没有解决方案。这是 post:
Merge multiple data frames - Error in match.names(clabs, names(xi)) : names do not match previous names
我从 Facebook 业务管理器下载了格式相同的报告。但是当我尝试使用 rbind(df1,df2) 组合它们时，我得到
Error in match.names(clabs, names(xi)) : names do not match previous names
通过诊断，我比较了
x<-names(df1) to y<-names(df2)
x和y是一样的，我也检查了object.size(x)和object.size(y)，这些也是一样的。
gtools 包中的 smartbind 函数似乎有效，但我想了解如何在 base R 中解决这个问题。这是两个数据帧中的每一个的 2 行：
> dput(df1)
structure(list(Campaign.Name = c("Bad Kitty Drawn to Trouble",
"Bad Kitty Drawn to Trouble"), Results = c(0L, 0L), performance_indicator = c("",
""), Reach = c(17465L, 29848L), Cost.per.Result..USD. = c(0,
0), Amount.Spent..USD. = c(10.48, 35.83), Ends = c("2014-02-03",
"2014-02-03"), adgroup_id = c(NA, NA), Button.Clicks = c(0L,
0L), Campaign.ID = c(6014996473560, 6014996473560), campaign_id = c(NA,
NA), campaign_name = c(NA, NA), Clicks = c(41L, 229L), Cost.Per.All.Actions..USD. = c(0.80615384615385,
0.3852688172043), Cost.Per.Unique.Click..USD. = c(0.262, 0.16435779816514
), CPC..Cost.Per.Click...USD. = c(0.25560975609756, 0.15646288209607
), CPM..Cost.Per.1.000.Impressions...USD. = c(0.34396744124984,
0.61315992128005), Cost.Per.1.000.People.Reached..USD. = c(0.60005725737189,
1.2004154382203), CTR..Click.Through.Rate. = c(0.13456741499278,
0.39188842303414), Start.Date = c("2014-01-07", "2014-01-08"),
End.Date = c("2014-01-07", "2014-01-08"), Frequency = c(1.7445176066419,
1.9577526132404), Impressions = c(30468L, 58435L), Objective = c("NONE",
"NONE"), relevance_score.score = c(NA, NA), relevance_score.positive_feedback = c(NA,
NA), relevance_score.negative_feedback = c(NA, NA), Result.Rate..USD. = c(0,
0), Social.Clicks = c(0L, 4L), Social.Impressions = c(1239L,
5756L), Social.Reach = c(499L, 1749L), Amount.Spent.Today..USD. = c(0L,
0L), Total.Conversion.Value = c(0L, 0L), Actions = c(13L,
93L), People.Taking.Action = c(13L, 93L), Unique.Clicks = c(40L,
218L), Unique.Click.Through.Rate..uCTR. = c(0.22902948754652,
0.73036719378183), unique_social_clicks = c(0L, 4L), action_values.gift_sale = c(NA,
NA), actions.checkin = c(NA, NA), actions.receive_offer = c(NA,
NA), actions.follow = c(NA, NA), actions.games.plays = c(NA,
NA), actions.gift_sale = c(NA, NA), Page.Likes = c(13L, 91L
), Website.Clicks = c(NA_integer_, NA_integer_), Page.Mentions = c(NA_integer_,
NA_integer_), Page.Engagement = c(13L, 93L), Photo.Views = c(NA,
1L), Post.Shares = c(NA_integer_, NA_integer_), Post.Comments = c(NA_integer_,
NA_integer_), Post.Engagement = c(NA, 2L), Post.Likes = c(NA,
1L), actions.tab_view = c(NA, NA), actions.vote = c(NA, NA
), Cost.per.Check.In..USD. = c(NA, NA), Cost.per.Offer.Claim..USD. = c(NA,
NA), Cost.per.Question.Follow..USD. = c(NA, NA), Cost.per.Game.Play..USD. = c(NA,
NA), Cost.per.Gift.Sale..USD. = c(NA, NA), Cost.per.Page.Like..USD. = c(0.80615384615385,
0.39373626373626), Cost.per.Website.Click..USD. = c(NA_real_,
NA_real_), Cost.per.Page.Mention..USD. = c(NA_real_, NA_real_
), Cost.per.Page.Engagement..USD. = c(0.80615384615385, 0.3852688172043
), Cost.per.Photo.View..USD. = c(NA, 35.83), Cost.per.Post.Share..USD. = c(NA_real_,
NA_real_), Cost.per.Post.Comment..USD. = c(NA_real_, NA_real_
), Cost.per.Post.Engagement..USD. = c(NA, 17.915), Cost.per.Post.Like..USD. = c(NA,
35.83), Cost.per.Page.Tab.View..USD. = c(NA, NA), Cost.per.Question.Answer..USD. = c(NA,
NA), website_ctr.link_click = c(NA_real_, NA_real_), campaign_end = c(NA,
NA), campaign_start = c(NA, NA), Account = c("MCPG", "MCPG"
)), .Names = c("Campaign.Name", "Results", "performance_indicator",
"Reach", "Cost.per.Result..USD.", "Amount.Spent..USD.", "Ends",
"adgroup_id", "Button.Clicks", "Campaign.ID", "campaign_id",
"campaign_name", "Clicks", "Cost.Per.All.Actions..USD.", "Cost.Per.Unique.Click..USD.",
"CPC..Cost.Per.Click...USD.", "CPM..Cost.Per.1.000.Impressions...USD.",
"Cost.Per.1.000.People.Reached..USD.", "CTR..Click.Through.Rate.",
"Start.Date", "End.Date", "Frequency", "Impressions", "Objective",
"relevance_score.score", "relevance_score.positive_feedback",
"relevance_score.negative_feedback", "Result.Rate..USD.", "Social.Clicks",
"Social.Impressions", "Social.Reach", "Amount.Spent.Today..USD.",
"Total.Conversion.Value", "Actions", "People.Taking.Action",
"Unique.Clicks", "Unique.Click.Through.Rate..uCTR.", "unique_social_clicks",
"action_values.gift_sale", "actions.checkin", "actions.receive_offer",
"actions.follow", "actions.games.plays", "actions.gift_sale",
"Page.Likes", "Website.Clicks", "Page.Mentions", "Page.Engagement",
"Photo.Views", "Post.Shares", "Post.Comments", "Post.Engagement",
"Post.Likes", "actions.tab_view", "actions.vote", "Cost.per.Check.In..USD.",
"Cost.per.Offer.Claim..USD.", "Cost.per.Question.Follow..USD.",
"Cost.per.Game.Play..USD.", "Cost.per.Gift.Sale..USD.", "Cost.per.Page.Like..USD.",
"Cost.per.Website.Click..USD.", "Cost.per.Page.Mention..USD.",
"Cost.per.Page.Engagement..USD.", "Cost.per.Photo.View..USD.",
"Cost.per.Post.Share..USD.", "Cost.per.Post.Comment..USD.", "Cost.per.Post.Engagement..USD.",
"Cost.per.Post.Like..USD.", "Cost.per.Page.Tab.View..USD.", "Cost.per.Question.Answer..USD.",
"website_ctr.link_click", "campaign_end", "campaign_start", "Account"
), row.names = 1:2, class = "data.frame")
> dput(df2)
structure(list(Campaign.Name = c("Poison Pill", "Poison Pill"
), Results = c(0L, 0L), performance_indicator = c("", ""), Reach = c(3396L,
4481L), Cost.per.Result..USD. = c(0, 0), Amount.Spent..USD. = c(15,
15), Ends = c("2014-01-15", "2014-01-15"), adgroup_id = c(NA,
NA), Button.Clicks = c(0L, 0L), Campaign.ID = c(6009475894829,
6009475894829), campaign_id = c(NA, NA), campaign_name = c(NA,
NA), Clicks = c(118L, 235L), Cost.Per.All.Actions..USD. = c(0.13157894736842,
0.067873303167421), Cost.Per.Unique.Click..USD. = c(0.13761467889908,
0.070754716981132), CPC..Cost.Per.Click...USD. = c(0.1271186440678,
0.063829787234043), CPM..Cost.Per.1.000.Impressions...USD. = c(4.4117647058824,
3.3452274754683), Cost.Per.1.000.People.Reached..USD. = c(4.416961130742,
3.3474670832403), CTR..Click.Through.Rate. = c(3.4705882352941,
5.2408563782337), Start.Date = c("2014-01-03", "2014-01-04"),
End.Date = c("2014-01-03", "2014-01-04"), Frequency = c(1.0011778563015,
1.0006694934166), Impressions = c(3400L, 4484L), Objective = c("NONE",
"NONE"), relevance_score.score = c(NA, NA), relevance_score.positive_feedback = c(NA,
NA), relevance_score.negative_feedback = c(NA, NA), Result.Rate..USD. = c(0,
0), Social.Clicks = c(11L, 22L), Social.Impressions = c(521L,
734L), Social.Reach = c(521L, 734L), Amount.Spent.Today..USD. = c(0,
0), Total.Conversion.Value = c(0L, 0L), Actions = c(114L,
221L), People.Taking.Action = c(114L, 217L), Unique.Clicks = c(109L,
212L), Unique.Click.Through.Rate..uCTR. = c(3.2096584216726,
4.7310868109797), unique_social_clicks = c(11L, 20L), action_values.gift_sale = c(NA,
NA), actions.checkin = c(NA, NA), actions.receive_offer = c(NA,
NA), actions.follow = c(NA, NA), actions.games.plays = c(NA,
NA), actions.gift_sale = c(NA, NA), Page.Likes = c(3L, NA
), Website.Clicks = c(111L, 221L), actions.mention = c(NA,
NA), Page.Engagement = c(114L, 221L), Photo.Views = c(NA_integer_,
NA_integer_), Post.Shares = c(NA_integer_, NA_integer_),
Post.Comments = c(NA_integer_, NA_integer_), Post.Engagement = c(111L,
221L), Post.Likes = c(NA_integer_, NA_integer_), actions.tab_view = c(NA,
NA), actions.vote = c(NA, NA), Cost.per.Check.In..USD. = c(NA,
NA), Cost.per.Offer.Claim..USD. = c(NA, NA), Cost.per.Question.Follow..USD. = c(NA,
NA), Cost.per.Game.Play..USD. = c(NA, NA), Cost.per.Gift.Sale..USD. = c(NA,
NA), Cost.per.Page.Like..USD. = c(5, NA), Cost.per.Website.Click..USD. = c(0.13513513513514,
0.067873303167421), Cost.per.Page.Mention..USD. = c(NA, NA
), Cost.per.Page.Engagement..USD. = c(0.13157894736842, 0.067873303167421
), Cost.per.Photo.View..USD. = c(NA_real_, NA_real_), Cost.per.Post.Share..USD. = c(NA_real_,
NA_real_), Cost.per.Post.Comment..USD. = c(NA_real_, NA_real_
), Cost.per.Post.Engagement..USD. = c(0.13513513513514, 0.067873303167421
), Cost.per.Post.Like..USD. = c(NA_real_, NA_real_), Cost.per.Page.Tab.View..USD. = c(NA,
NA), Cost.per.Question.Answer..USD. = c(NA, NA), website_ctr.link_click = c(3.2647058823529,
4.92863514719), campaign_end = c(NA, NA), campaign_start = c(NA,
NA), Account = c("TF", "TF")), .Names = c("Campaign.Name",
"Results", "performance_indicator", "Reach", "Cost.per.Result..USD.",
"Amount.Spent..USD.", "Ends", "adgroup_id", "Button.Clicks",
"Campaign.ID", "campaign_id", "campaign_name", "Clicks", "Cost.Per.All.Actions..USD.",
"Cost.Per.Unique.Click..USD.", "CPC..Cost.Per.Click...USD.",
"CPM..Cost.Per.1.000.Impressions...USD.", "Cost.Per.1.000.People.Reached..USD.",
"CTR..Click.Through.Rate.", "Start.Date", "End.Date", "Frequency",
"Impressions", "Objective", "relevance_score.score", "relevance_score.positive_feedback",
"relevance_score.negative_feedback", "Result.Rate..USD.", "Social.Clicks",
"Social.Impressions", "Social.Reach", "Amount.Spent.Today..USD.",
"Total.Conversion.Value", "Actions", "People.Taking.Action",
"Unique.Clicks", "Unique.Click.Through.Rate..uCTR.", "unique_social_clicks",
"action_values.gift_sale", "actions.checkin", "actions.receive_offer",
"actions.follow", "actions.games.plays", "actions.gift_sale",
"Page.Likes", "Website.Clicks", "actions.mention", "Page.Engagement",
"Photo.Views", "Post.Shares", "Post.Comments", "Post.Engagement",
"Post.Likes", "actions.tab_view", "actions.vote", "Cost.per.Check.In..USD.",
"Cost.per.Offer.Claim..USD.", "Cost.per.Question.Follow..USD.",
"Cost.per.Game.Play..USD.", "Cost.per.Gift.Sale..USD.", "Cost.per.Page.Like..USD.",
"Cost.per.Website.Click..USD.", "Cost.per.Page.Mention..USD.",
"Cost.per.Page.Engagement..USD.", "Cost.per.Photo.View..USD.",
"Cost.per.Post.Share..USD.", "Cost.per.Post.Comment..USD.", "Cost.per.Post.Engagement..USD.",
"Cost.per.Post.Like..USD.", "Cost.per.Page.Tab.View..USD.", "Cost.per.Question.Answer..USD.",
"website_ctr.link_click", "campaign_end", "campaign_start", "Account"
), row.names = 1:2, class = "data.frame")
参见names(df1)==names(df2)。你会发现变量#47 的名称在 df1 和 df2 之间不同，这会导致错误。
要解决此问题，变量名称必须相同。要解决此问题，您可以执行以下操作：
names(df1)[47]=c("actions.mention") #change variable name
names(df1)==names(df2) #ensure names are the same
rbind(df1,df2) #rbind two data frames.
检查大小写和 labeling/column 顺序并确保它们相同。 survived 和 Survived 不一样 "R" 区分大小写。