使用 R 中的另一个数据框列完成列名

Question

我有这个 table:

library(rvest)
library(tidyverse)
tables_team_pl <- read_html('https://www.win-or-lose.com/football-team-colours/')
color_table <- tables_team_pl %>% html_table() %>% pluck(1) %>% select(-Away)

还有这个：

table_1 <- structure(list(Team = c("Arsenal", "Aston Villa", "Blackburn", 
"Bolton", "Chelsea", "Everton", "Fulham", "Liverpool", "Manchester City", 
"Manchester Utd", "Newcastle Utd", "Norwich City", "QPR", "Stoke City", 
"Sunderland", "Swansea City", "Tottenham", "West Brom", "Wigan Athletic", 
"Wolves")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, 
-20L))

如您所见，第二个 table 的名称不完整。例如，Manchester Utd 应该是 Manchester United，就像第一个 table.

所以，我只需要完成这第二个 table 从第一个 table.

中提取相同的名字

所以，我会table_1 更正：Manchester Utd应该改成Manchester Unites，Blackburn应该改成Blackburn Rovers等等。 完整的名字应该来自第一个 table.

还有第二个 table 我有 QPR，应该是“Queens Park Rangers”。

有什么帮助吗？

Answer 1

我们可以使用strindist加入

library(fuzzyjoin)
library(dplyr)
stringdist_left_join(table_1, color_table, by = "Team", method = "soundex") %>%
     transmute(Team = coalesce(Team.y, Team.x)) %>%
     distinct

Answer 2

这是使用 agrep 的 base R 解决方案。它具有允许设置最大数量的 insertions、deletions 和 substitutions 以实现一场比赛。

table_1_original <- table_1

table_1$Team <- data.frame( Team=sapply( as.matrix(table_1), function(x){
                       a=agrep( x, tables_team_pl,
                       max=list(insert=0,del=0,subs=3));
                       if(!identical(a, integer(0))){ tables_team_pl[a] }
                       else{ x } } ) )

结果包括与原始结果的比较：

cbind(table_1_original, table_1)
              Team                    Team
1          Arsenal                 Arsenal
2      Aston Villa             Aston Villa
3        Blackburn        Blackburn Rovers
4           Bolton                  Bolton
5          Chelsea                 Chelsea
6          Everton                 Everton
7           Fulham                  Fulham
8        Liverpool               Liverpool
9  Manchester City         Manchester City
10  Manchester Utd       Manchester United
11   Newcastle Utd        Newcastle United
12    Norwich City            Norwich City
13          Queens     Queens Park Rangers
14      Stoke City              Stoke City
15      Sunderland              Sunderland
16    Swansea City            Swansea City
17       Tottenham       Tottenham Hotspur
18       West Brom    West Bromwich Albion
19  Wigan Athletic          Wigan Athletic
20          Wolves Wolverhampton Wanderers

已过滤 HTML 没有颜色的数据：

tables_team_pl <- c("Aberdeen", "AFC Bournemouth", "AFC Wimbledon", "Arsenal", 
"Aston Villa", "Birmingham City", "Blackburn Rovers", "Bradford City", 
"Brentford", "Brighton & Hove Albion", "Bristol City", "Burnley", 
"Cardiff City", "Celtic", "Chelsea", "Crystal Palace", "Derby County", 
"Dundee", "Dundee United", "Everton", "Fulham", "Hamilton Academical", 
"Heart of Midlothian", "Hibernian", "Huddersfield Town", "Hull City", 
"Inverness Caledonian Thistle", "Kilmarnock", "Leeds United", 
"Leicester City", "Liverpool", "Livingston", "Manchester City", 
"Manchester United", "Middlesbrough", "Millwall", "Motherwell", 
"Newcastle United", "Norwich City", "Nottingham Forest", "Partick Thistle", 
"Portsmouth", "Preston North End", "Queens Park Rangers", "Rangers", 
"Reading", "Ross County", "Rotherham", "Sheffield United", "Sheffield Wednesday", 
"Southampton", "St Johnstone", "St Mirren", "Stoke City", "Sunderland", 
"Swansea", "Tottenham Hotspur", "Watford", "West Bromwich Albion", 
"West Ham United", "Wolverhampton Wanderers", "Wycombe Wanderers")

使用 R 中的另一个数据框列完成列名

Complete column names with another dataframe column in R

r

stringr

tidyverse