重新排列的數據行有相同的值

，我有以下數據：重新排列的數據行有相同的值

Data <- data.frame(Project=c(123,123,123,123,123,123,124,124,124,124,124,124), 
       Date=c("12/27/2016 15:16","12/27/2016 15:20","12/27/2016 15:24","12/27/2016 15:28","12/27/2016 15:28","12/27/2016 15:42","12/28/2016 7:22","12/28/2016 7:26","12/28/2016 7:35","12/28/2016 11:02","12/28/2016 11:02","12/28/2016 11:28"), 
       OldValue=c("","Open","In Progress","Open","System Declined","In Progress","System Declined","Open","In Progress","Open","Complete","In Progress"), 
       NewValue=c("Open","In Progress","System Declined","In Progress","Open","System Declined","Open","In Progress","Complete","In Progress","Open","Complete"))

的數據已經被訂購項目，然後日期。

但是，如果有兩行具有相同的Date（例如4,5和10,11行），我想指定基於OldValue的順序。所以我想第5排在第4排之前，第11排在第10排之前。

我該如何去做這件事？

來源

2017-01-03 Dfeld

按字母順序排序會產生不同的結果，如果'OldValue'是一個因素。 –

我試着按Project，Date，OldValue和大部分工作來訂購我的數據。然而，在上面的例子中，有些情況下不起作用，即4,5行 – Dfeld

#Assign Desired order to the OldValue, CHANGE "y" IF NECESSARY 
OldValue_order = data.frame(OldValue = c("","Open","In Progress","System Declined","Complete"), y = c(0,4,2,1,3)) 

# We'll need lookup command to copy desired order to the "Data" 
library(qdapTools) 
Data$OV_order = lookup(Data$OldValue, OldValue_order) # Adds new column to "Data" 

# Arrange the data.frame in desired order 
Data = Data[with(Data, order(Project, as.POSIXct(Date, format = "%m/%d/%Y %H:%M"), OV_order)),] 

#Remove the added column 
Data = Data[1:4]

來源

2017-01-03 21:49:45

重新排列的數據行有相同的值

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