问题
Name of member Allowance Type Expenditure Type Date Amount, £
Adam Afriyie Office running costs (IEP/AOE) Incidentals 07/03/2009 111.09
Adam Afriyie Office running costs (IEP/AOE) Incidentals 11/05/2009 111.09
Adam Afriyie Office running costs (IEP/AOE) Incidentals 11/05/2009 51.75
Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009 35
Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009 413.23
Adam Holloway Office running costs (IEP/AOE) Incidentals 10/01/2009 9.55
Adam Holloway Office running costs (IEP/AOE IT equipment 07/03/2009 890.01
Adam Holloway Communications Expenditure Publications 12/04/2009 1774
Adam Holloway Office running costs (IEP/AOE) Incidentals 12/08/2009 1.1
Adam Holloway Office running costs (IEP/AOE Incidentals 12/08/2009 64.31
Adam Holloway Office running costs (IEP/AOE) Incidentals 12/08/2009 64.31
Hi im new to R and new to programming. This is a subset of the MP's expenses during a certain time period. I want to subtotal each MP's expenses and i used the code from another post
> aggregate(cbind(bsent, breturn, tsent, treturn, csales) ~ yname, data = foo,
+ FUN = sum)
and edited it to my own situation.
my code:
expenses2 <- aggregate(cbind(Amount..Â.) ~ Name.of.member, data = expenses, FUN = sum)
now although this code does do some sort of aggregation the numbers do not match up. for example one can calculate that Adam Afriyie's expenses are £273.93 however this code gives a result of 12697. I have no idea what this number represents. Can someone help me and tell me what im doing wrong??
Thank you in advance
回答1:
Using only your name column and your last amount column:
df <- data.frame(name = c(rep("Adam Afriyie", 3), rep("Adam Holloway", 8)),
amount = c(111.09, 111.09, 51.75, 35,
413.23, 9.55, 890.01, 1774, 1.1, 64.31, 64.31)
)
version 1
aggregate(df$amount, by = list(name = df$name), FUN = "sum")
version 2
aggregate(amount ~ name, data = df, FUN = "sum")
output:
1 Adam Afriyie 273.93
2 Adam Holloway 3251.51
回答2:
I pulled that text into an editor. Then made valid header names and put back the tabs that had apparently been replaced with spaces and read into R getting this object:
MPexp <- structure(list(Name_of_member = c("Adam Afriyie", "Adam Afriyie",
"Adam Afriyie", "Adam Holloway", "Adam Holloway", "Adam Holloway",
"Adam Holloway", "Adam Holloway", "Adam Holloway", "Adam Holloway",
"Adam Holloway"), Allowance_Type = c("Office running costs (IEP/AOE)",
"Office running costs (IEP/AOE)", "Office running costs (IEP/AOE)",
" Office running costs (IEP/AOE)", " Office running costs (IEP/AOE)",
" Office running costs (IEP/AOE)", " Office running costs (IEP/AOE",
" Communications Expenditure", " Office running costs (IEP/AOE)",
" Office running costs (IEP/AOE", " Office running costs (IEP/AOE)"
), Expenditure_Tyoe = c("Incidentals", "Incidentals", "Incidentals",
"Incidentals", "Incidentals", "Incidentals", "IT equipment",
"Publications", "Incidentals", "Incidentals", "Incidentals"),
Date = c("07/03/09", "11/05/09", "11/05/09", "10/01/09",
"10/01/09", "10/01/09", "07/03/09", "12/04/09", "12/08/09",
"12/08/09", "12/08/09"), Amount = c(111.09, 111.09, 51.75,
35, 413.23, 9.55, 890.01, 1774, 1.1, 64.31, 64.31)), .Names = c("Name_of_member",
"Allowance_Type", "Expenditure_Tyoe", "Date", "Amount"),
class = "data.frame", row.names = c(NA,
-11L))
Now this should yield the expected result with aggregate:
> aggregate(MPexp$Amount, MPexp["Name_of_member"], sum)
Name_of_member x
1 Adam Afriyie 273.93
2 Adam Holloway 3251.51
Reading your question again made me realize that you were using aggregate.formula so this would also work on that data:
> aggregate(Amount ~ Name_of_member, data=MPexp, FUN=sum)
Name_of_member Amount
1 Adam Afriyie 273.93
2 Adam Holloway 3251.51
回答3:
Another approach using plyr
library(plyr)
#Using data from mropa's answer
> ddply(df, .(name), summarise, sum = sum(amount))
name sum
1 Adam Afriyie 273.93
2 Adam Holloway 3251.51
来源:https://stackoverflow.com/questions/4337170/calculating-subtotals-in-r