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如何申請 3 function 新建 dataframe

[英]How to apply 3 function to create a new dataframe

我是 StackOverflow 的新手。 我想將 3 function 應用於 dataframe 以創建新的 dataframe。

emiscore$rank19<-rank(-emiscore$"2019")
emi_P_19<-filter(emiscore,rank19<31)
emi_P_19<-emi_P_19[order(emi_P_19$Name),]

emi_P_19 的前 10 行如下所示:

structure(list(Name = c("LA Z BOY", "1 800 FLOWERS.COM 'A'", 
"AGEAS (EX FORTIS)", "AGFA GEVAERT", "AIR FRANCE KLM", "ANHEUSER BUSCH INBEV"
), DATATYPE = c("TRESGENERS", "TRESGENERS", "TRESGENERS", "TRESGENERS", 
"TRESGENERS", "TRESGENERS"), `2019` = c(0, 0, NA, NA, NA, NA), 
    `2018` = c(8.33, 0, 22.15, 64.46, 97.92, 58.47), `2017` = c(0, 
    0, 0, 63.11, 97.83, 49.14), `2016` = c(0, 0, 0, 58.65, 95.83, 
    61.46), `2015` = c(NA, NA, 0, 64.89, 93.27, 67.71), `2014` = c(NA, 
    NA, 0, 60.26, 94.57, 59.78), `2013` = c(NA, NA, 0, 64.63, 
    96.74, 77.17), `2012` = c(NA, NA, 0, 67.86, 98.96, 75), `2011` = c(NA, 
    NA, 0, 67.07, 96.81, 70.93), `2010` = c(NA, NA, 17.05, 71.25, 
    98.98, 88.46), `2009` = c(NA, NA, 11.59, 68.92, 88.16, 92.65
    ), `2008` = c(NA, NA, 18.85, 71.21, 92.42, 77.59), `2007` = c(NA, 
    NA, 50.93, 79.69, 80.36, 78), delisted = c("NO", "NO", "NO", 
    "NO", "NO", "NO"), rank20 = c(535, 535, 646, 647, 648, 649
    ), rank19 = c(535, 535, 646, 647, 648, 649)), row.names = c(NA, 
-6L), class = c("tbl_df", "tbl", "data.frame"))

所以本質上,我想排名,取前 30 家公司,按字母順序排列以創建一個新的 dataframe,其中包含 2007 年至 2019 年每年的公司名稱(名為“名稱”的列)。最終目標是獲得每年的列表,按字母順序顯示如上所述排名和過濾的公司名稱。

正如@Parfait 所提到的,如果您以長格式保存數據,則進行數據操作會變得非常容易,您可以執行以下操作:

library(dplyr)

result <- emiscore %>%
            tidyr::pivot_longer(cols = `2019`:`2007`, names_to = 'year') %>%
            group_by(year) %>%
            top_n(30, value)

這將選擇每年的前 30 個值。

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