Calculate mileage at each 'faildate'
Hi I wonder what do you want to do with intended output. You can get required numbers by lll <- split(simD, simD$ID) lapply(lll, function(x) c(min(x[, "MILEAGE"]), diff(x[,"MILEAGE"]))) $A [1] 21548 1030 290 786 $B [1] 30245 1903 1980 1751 3995 251 Then pad it with NA max.l<-max(sapply(res, length)) res2<-lapply(res, function(x) c(x, rep(NA, max.l-length(x)))) $A [1] 21548 1030 290 786 NA NA $B [1] 30245 1903 1980 1751 3995 251
t(as.data.frame(res2))
[,1] [,2] [,3] [,4] [,5] [,6] A 21548 1030 290 786 NA NA B 30245 1903 1980 1751 3995 251
After that you should combine it with required values from first data frame and of course you need to name new columns e.g. by loop. If you had it as a list you could work with it easily by R functions or convert it back to your data frame
library (plyr)
data.frame(ldply(lll, data.frame), fMileage=unlist(res)) .id ID PRODDATE FAILDATE MILEAGE fMileage A1 A A 2010-02-15 2011-03-20 21548 21548 A2 A A 2010-02-15 2011-03-21 22578 1030 A3 A A 2010-02-15 2011-03-24 22868 290 A4 A A 2010-02-15 2011-03-25 23654 786 B1 B B 2010-02-24 2010-08-23 30245 30245 B2 B B 2010-02-24 2010-09-23 32148 1903 B3 B B 2010-02-24 2010-09-24 34128 1980 B4 B B 2010-02-24 2010-10-23 35879 1751 B5 B B 2010-02-24 2010-11-23 39874 3995 B6 B B 2010-02-24 2010-12-23 40125 251 Cheers Petr
-----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Abhinaba Roy Sent: Wednesday, August 10, 2016 11:23 AM To: r-help <r-help at r-project.org> Subject: [R] Calculate mileage at each 'faildate' Hi R-helpers, - I have a dataframe similar to 'simD'.
dput(simD)
structure(list(ID = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label =
c("A", "B"), class = "factor"), PRODDATE = structure(c(14655, 14655, 14655,
14655, 14664, 14664, 14664, 14664, 14664, 14664 ), class = "Date"), FAILDATE =
structure(c(15053, 15054, 15057, 15058, 14844, 14875, 14876, 14905, 14936,
14966), class = "Date"),
MILEAGE = c(21548L, 22578L, 22868L, 23654L, 30245L, 32148L,
34128L, 35879L, 39874L, 40125L)), .Names = c("ID", "PRODDATE",
"FAILDATE", "MILEAGE"), row.names = c(NA, -10L), class = "data.frame")
- I have split the dataset by 'ID' and sorted the dataframe by
'faildate' (oldest to newest).
- Now, for each of the splits I want to calculate the 'Mileage' at each
of the 'faildate'.
- The output I desire is 'outD'.
dput(outD)
structure(list(ID = structure(1:2, .Label = c("A", "B"), class = "factor"),
PRODDATE = structure(c(14655, 14664), class = "Date"), MIL_1 = c(21548L,
30245L), MIL_2 = c(1030L, 1903L), MIL_3 = c(290L, 1980L),
MIL_4 = c(786L, 1751L), MIL_5 = c(NA, 3995L), MIL_6 = c(NA,
251L)), .Names = c("ID", "PRODDATE", "MIL_1", "MIL_2", "MIL_3",
"MIL_4", "MIL_5", "MIL_6"), row.names = c(NA, -2L), class = "data.frame")
***Please note that I have MIL_6 because the max(# failures) in data by ID is
6 (6 failures for 'B')*
- And I would like to extend it to other numeric and date variable as
well.
How can I do this in R?
Best,
Abhinaba
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