我們應該如何獲得不同類型變量的累積列？

Question

我的數據是這樣的：

structure(c("Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "Manufacturing Excell", "Material Efficiencie", 
"NPI Efficiencies", "Manufacturing Excell", "NPI Efficiencies", 
"NPI Efficiencies", "NPI Efficiencies", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "NPI Efficiencies", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "Manufacturing Excell", "Manufacturing Excell", 
"NPI Efficiencies", "Manufacturing Excell", "Material Efficiencie", 
"Manufacturing Excell", "Manufacturing Excell", "NPI Efficiencies", 
"Manufacturing Excell", "Manufacturing Excell", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "Material Efficiencie", 
"NPI Efficiencies", "Manufacturing Excell", "NPI Efficiencies", 
"Manufacturing Excell", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "Manufacturing Excell", "NPI Efficiencies", 
"NPI Efficiencies", "Manufacturing Excell", "NPI Efficiencies", 
"NPI Efficiencies", "Manufacturing Excell", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "Manufacturing Excell", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "Material Efficiencie", 
"Material Efficiencie", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "Material Efficiencie", "NPI Efficiencies", 
"Material Efficiencie", "Manufacturing Excell", "Material Efficiencie", 
"NPI Efficiencies", "Manufacturing Excell", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "NPI Efficiencies", "Manufacturing Excell", 
"Material Efficiencie", "NPI Efficiencies", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "Material Efficiencie", "Material Efficiencie", 
"Manufacturing Excell", "Material Efficiencie", "Manufacturing Excell", 
"Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "Manufacturing Excell", "Material Efficiencie", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "NPI Efficiencies", "Manufacturing Excell", 
"NPI Efficiencies", "Material Efficiencie", "NPI Efficiencies", 
"NPI Efficiencies", "Manufacturing Excell", "Manufacturing Excell", 
"Manufacturing Excell", "NPI Efficiencies", "NPI Efficiencies", 
"Material Efficiencie", "Material Efficiencie", "Material Efficiencie", 
"Material Efficiencie", "NPI Efficiencies", "NPI Efficiencies", 
"Manufacturing Excell", "Manufacturing Excell", "Manufacturing Excell", 
"Manufacturing Excell", "Manufacturing Excell", "Manufacturing Excell", 
"NPI Efficiencies", "NPI Efficiencies", "NPI Efficiencies", "Manufacturing Excell", 
"Manufacturing Excell", "Material Efficiencie", "NPI Efficiencies", 
"NPI Efficiencies", "28859", "15134", "29429", "14214", "37988", 
"15328", "42679", "46206", "43311", "8158", "29937", "6021", 
"5581", "44627", "36779", "15888", "20088", "42170", "11560", 
"16401", "30293", "27682", "44574", "20240", "10176", "45920", 
"40615", "28510", "23527", "35717", "12608", "30585", "1344", 
"30179", "38589", "18135", "32662", "577", "47836", "36944", 
"8946", "36730", "6499", "47177", "31564", "17612", "19799", 
"43469", "780", "29003", "729", "39209", "8237", "12442", "40877", 
"45338", "44977", "2081", "47886", "19948", "38960", "27127", 
"33186", "36972", "29774", "24197", "47513", "21171", "10992", 
"2630", "39740", "38639", "8373", "7932", "44641", "8877", "4256", 
"47425", "4972", "11793", "48437", "15102", "30181", "23058", 
"27086", "11750", "32797", "33320", "42980", "2712", "3360", 
"18773", "34625", "48207", "18044", "16727", "36327", "38051", 
"39081", "35858", "11747", "32221", "45342", "25444", "27538", 
"3725", "29636", "37667", "24387", "43088", "49972", "39308", 
"17497", "26198", "42199", "20640", "26455", "42792", "36511", 
"16867", "34142", "10629", "15415", "38989", "24381", "45988", 
"19603", "40886", "16616", "13004", "8370", "34725", "17915", 
"29838", "38500", "10620", "45602", "11911", "38119", "308", 
"37473", "17560", "14887", "30872", "7622", "20169", "38494", 
"12728", "14816", "37183", "18602", "157", "49615", "12902", 
"31344", "15606", "30386", "49746", "26466", "19784", "9326", 
"33639", "25323", "31404", "20045", "45788", "49454", "13271", 
"44675", "44926", "33041"), .Dim = c(171L, 2L)) 

現在我想做的事就是讓一個單獨的累積和表不同的儲蓄種類。那就是我需要一個單獨的累計和表，用於NPI Efficiencie，製造Excel和材料效率。無論如何，我可以在R的幫助下做到這一點。請幫助！

Answer 1

是否這樣？

library(dplyr) 
library(data.table) 
dt <- data.frame(dt) %>% setDT 
dt[, X2 := as.character(X2) %>% as.numeric] 
dt[, cumsum_by_group := cumsum(X2), by = X1]