我有一个这样的数据框:
null
我想拆分第3列并使数据框看起来像这样:
Screen.name party users
1 A_Gloeckner SPD @MartinSchulz.
2 A_Gloeckner SPD @MartinSchulz
3 A_Gloeckner SPD @ManuelaSchwesig @sigmargabriel @nahles
4 a_grotheer SPD @SouthendRNLI
5 a_grotheer SPD @ribasdiego10
6 a_grotheer SPD @HBBuergerschaft
7 a_grotheer SPD @UniBremen…
到目前为止,我已尝试过这一个: 提及_polits_2017 =提及_polits_2017 [,列表(提及_polits_2017 = unlist(strsplit(提及_polits_2017,“,”))),by =提及_polits_2017 $ Screen.name]
但它显示错误,“Screen.name party mentioned_users
1 A_Gloeckner SPD @MartinSchulz.
2 A_Gloeckner SPD @MartinSchulz
3 A_Gloeckner SPD @ManuelaSchwesig
4 A_Gloeckner SPD @sigmargabriel
5 A_Gloeckner SPD @nahles
6 a_grotheer SPD @SouthendRNLI
7 a_grotheer SPD @ribasdiego10
8 a_grotheer SPD @HBBuergerschaft
9 a_grotheer SPD @UniBremen…
中的错误(提及_polits_2017 ,,列表(提及_polits_2017 = unlist(strsplit(提及_polits_2017,:
未使用的参数(by = mention_polits_2017 $ Screen.name)“
谢谢。
答案 0 :(得分:0)
你可以尝试
library(tidyverse)
df %>%
separate_rows(users, sep=" ")
Screen.name party users
1 A_Gloeckner SPD @MartinSchulz.
2 A_Gloeckner SPD @MartinSchulz
3 A_Gloeckner SPD @ManuelaSchwesig
4 A_Gloeckner SPD @sigmargabriel
5 A_Gloeckner SPD @nahles
6 a_grotheer SPD @SouthendRNLI
7 a_grotheer SPD @ribasdiego10
8 a_grotheer SPD @HBBuergerschaft
9 a_grotheer SPD @UniBremen
数据
df <- structure(list(Screen.name = structure(c(1L, 1L, 1L, 2L, 2L,
2L, 2L), .Label = c("A_Gloeckner", "a_grotheer"), class = "factor"),
party = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "SPD", class = "factor"),
users = c("@MartinSchulz.", "@MartinSchulz", "@ManuelaSchwesig @sigmargabriel @nahles",
"@SouthendRNLI", "@ribasdiego10", "@HBBuergerschaft", "@UniBremen"
)), class = "data.frame", .Names = c("Screen.name", "party",
"users"), row.names = c(NA, -7L))