I have the following data set:
District Type DaysBtwn Start_Day End_Day Start_Vol End_Vol
1 A 0 3 0 31 28 23
2 A 1 3 0 31 24 0
3 B 0 3 0 31 17700 10526
4 B 1 3 0 31 44000 35800
5 C 0 3 0 31 5700 0
6 C 1 3 0 31 35000 500
For each of the group combinations District & Type
, I want to do a simple linear interpolation: for ax=Days (Start_Day and End_Day)
and y=Volumes (Start_Vol and End_Vol)
, I want the estimated volume returned for xout=DaysBtwn.
I have tried so many things. I think I am having issues because of the way my data is set up. Can someone point me in the right direction for how to use the approx function in R to get the desired output? I don't mind moving my data set around to get the correct format for approx.`
Example of desired output:
District Type EstimatedVol
1 0 25
2 1 15
3 0 13000
4 1 39000
5 0 2500
6 1 25000
dt <- data.table(input) interpolation <- dt[, approx(x,y,xout=z), by=list(input$District,input$Type)]
为什么不简单地直接计算呢?
dt$EstimatedVol <- (End_Vol - Start_Vol) / (End_Day - Start_Day) * (DaysBtwn - Start_Day) + Start_Vol
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