R：如果有连续的列相等，如何只保留一个并分配一个新的列名

问题描述

我有一组客户数据，包括他们在哪些商店购物、他们在每家商店购买了什么以及在哪一天购物。

Shop_list <- data.frame (Names  = c('Adam','Eve','Lucy','Ricky','Gomez','Morticia','Adam','Lucy'),Day = c(1,1,2,3,4,5,6,6),Store= c('None','None','Lowes','Home Depot','None'),Item= c('None','Wood','Soil','Nails','Pots','Seeds',stringsAsFactors=FALSE
)

我写了一个总结这些数据的函数，

library(dplyr)
library(flextable)

Shop_fcn <- function(data){
  data %>%
    group_by(Day) %>%
    mutate(N_nam = n_distinct(Names)) %>%
    group_by(Names,Day,N_nam,Store,Item) %>%
    summarize(n_item = n()) %>%
    group_by(Day,Item) %>%
    summarize(n_nam = n(),n_item = sum(n_item))%>%
    mutate(pct = round(n_nam/N_nam*100,digits = 1),txt = paste0( n_nam," (",pct,"%)"),Day_n = (paste0("Day "," (N=",")")))%>%
    ungroup %>% select(Day_n,Item,txt) %>%
    pivot_wider(values_from = txt,names_from = Day_n) %>%
    mutate_at(vars(starts_with(c("Day"))),~if_else(is.na(.),"",.)) %>%
    arrange(Store,Item) %>% 
    group_by(store2 = Store) %>% 
    mutate(Store = if_else(row_number() != 1,Store))%>%
    ungroup() %>% select(-store2)
}

Shop_day <- Shop_list %>%
  bind_rows(Shop_list) %>%
  Shop_fcn ()

flextable(Shop_day)

我得到以下输出。

第 2 天和第 3 天的列是相等的，第 4、5 和 6 天的列也是如此。我试图使具有相同信息的列的列标题与第 2 - 3 天相同(N=4) 和第 4 - 6 天 (N=3)。

到目前为止，我已经尝试删除重复的列

Shop_nodup <- Shop_day[!duplicated(as.list(Shop_day))]
flextable(Shop_nodup)

给了我什么

重复的列消失了，但我想不出一种在列标题中指定的方法来指定列涵盖的天数范围（第 2 - 3 天（N=4）和第 4 - 6 天（ N=3) )

解决方法

如果我们需要更改标题，请进行如下更改

library(stringr)
Shop_fcn <- function(data){
  data %>%
    group_by(Day) %>%
    mutate(N_nam = n_distinct(Names)) %>%
    group_by(Names,Day,N_nam,Store,Item) %>%
    summarize(n_item = n()) %>%
    group_by(Day,Item) %>%
    summarize(n_nam = n(),n_item = sum(n_item))%>%
    mutate(pct = round(n_nam/N_nam*100,digits = 1),txt = paste0( n_nam," (",pct,"%)"),Day_n = (paste0("Day "," (N=",")")))%>%
    ungroup %>% 
    select(Day_n,Item,txt) %>%
    group_by(Store,txt) %>%
    summarise(Day_n = if(n() > 1) 
     sprintf('Day %s %s',paste(range(readr::parse_number(unique(Day_n))),collapse=' - '),str_remove(first(Day_n),'^[^(]+')) else Day_n) %>%
    pivot_wider(values_from = txt,names_from = Day_n) %>%
    mutate_at(vars(starts_with(c("Day"))),~if_else(is.na(.),"",.)) %>%
    arrange(Store,Item) %>% 
    group_by(store2 = Store) %>% 
    mutate(Store = if_else(row_number() != 1,Store))%>%
    ungroup() %>%
    select(Store,str_sort(names(.)[-(1:2)],numeric = TRUE),-store2)

}

-测试

Shop_day <- Shop_list %>%
  bind_rows(Shop_list) %>%
  Shop_fcn ()

flextable(Shop_day)

-输出