[R] aggregate dataframe by multiple factors
David Winsemius
dwinsemius at comcast.net
Sun Nov 20 20:17:13 CET 2016
> On Nov 20, 2016, at 11:11 AM, David Winsemius <dwinsemius at comcast.net> wrote:
>
>
>> On Nov 20, 2016, at 10:49 AM, Karim Mezhoud <kmezhoud at gmail.com> wrote:
>>
>> Yes the results does not have a date but
>> successive DCE.1, DCE2, DCE.3 indicates
>> DCE.date1 , DCE.date2, DCE.date3
>> I hope that the chronological order of date is conserved.
>
> There are, however, 4 dates. See this pair of results. You can probably do something if you ever figure out what it is that you precisely want. I think the date ordering is automatic here:
>
>> require(reshape2)
> Loading required package: reshape2
>
>> dcast(dat, first.Name + Name + Department ~ date, value.var='DCE')
> first.Name Name Department 2013-09-30 2013-12-28 2014-03-30 2014-06-28
> 1 Amish Wives TAS 0.59 NA 0.59 NA
> 2 Ancient Nation QLH 0.54 0.28 0.54 0.28
> 3 Auction Videos YME 0.57 NA 0.57 NA
>> dcast(dat, first.Name + Name + Department ~ date, value.var='DP')
> first.Name Name Department 2013-09-30 2013-12-28 2014-03-30 2014-06-28
> 1 Amish Wives TAS 0.56 NA 0.56 NA
> 2 Ancient Nation QLH 0.58 0.29 0.58 0.29
> 3 Auction Videos YME 0.56 NA 0.56 NA
Yjos completes the process in the reshape2 world:
> mdat <- melt(dat, measure.vars=c("DCE", 'DP') )
> str(mdat)
'data.frame': 24 obs. of 6 variables:
$ first.Name: Factor w/ 48 levels "Amish","Ancient",..: 3 1 2 3 1 2 3 1 2 3 ...
$ Name : Factor w/ 48 levels "Aliens","Behavior",..: 43 47 29 43 47 29 43 47 29 43 ...
$ Department: Factor w/ 8 levels "HXW","QLH","RAR",..: 8 6 2 8 6 2 8 6 2 8 ...
$ date : Date, format: "2013-09-30" "2013-09-30" ...
$ variable : Factor w/ 2 levels "DCE","DP": 1 1 1 1 1 1 1 1 1 1 ...
$ value : num 0.57 0.59 0.54 NA NA 0.28 0.57 0.59 0.54 NA ...
> dcast(mdat, first.Name + Name + Department ~ date+variable )
first.Name Name Department 2013-09-30_DCE 2013-09-30_DP 2013-12-28_DCE
1 Amish Wives TAS 0.59 0.56 NA
2 Ancient Nation QLH 0.54 0.58 0.28
3 Auction Videos YME 0.57 0.56 NA
2013-12-28_DP 2014-03-30_DCE 2014-03-30_DP 2014-06-28_DCE 2014-06-28_DP
1 NA 0.59 0.56 NA NA
2 0.29 0.54 0.58 0.28 0.29
3 NA 0.57 0.56 NA NA
--
David.
>
>
>
>> Thanks,
>> Karim
>>
>>
>> On Sun, Nov 20, 2016 at 7:44 PM, David Winsemius <dwinsemius at comcast.net> wrote:
>>
>>> On Nov 20, 2016, at 5:28 AM, Karim Mezhoud <kmezhoud at gmail.com> wrote:
>>>
>>> Sorry for the delay,
>>> Many Thanks for Mr. David and Mr. Petr
>>> I thinked to use "sort" function to arrange chronologically value by 'date' (without 'date' is colnames) of each variables (DCE, DP).
>>>
>>>
>>> The solution of David seems to be simple to understand with "unlist" function.
>>> The solution of Petr seems to be fancy. I did not find document about "I" argument for aggregate function.
>>>
>>> How can know which value for which date?
>>
>> You asked for a functional reshaping that did not have the date. Now you want the date? There was no date in the result you indicated was desired. ....??????
>>
>> --
>> David.
>>
>>>
>>> I will save the reshaping/ordering dataframe for later use.
>>> Many Thanks,
>>> Karim
>>>
>>>
>>> On Fri, Nov 18, 2016 at 11:34 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:
>>> Hi
>>>
>>> same result can be achieved by
>>>
>>> dat.ag<-aggregate(dat[ , c("DCE","DP")], by= list(dat$first.Name, dat$Name, dat$Department) , "I")
>>>
>>> Sorting according to the first row seems to be quite tricky. You could probably get closer by using some combination of split and order and arranging back chunks of data
>>>
>>> ooo1<-order(split(dat$DCE,interaction(dat$first.Name, dat$Name, dat$Department, drop=T))[[1]])
>>> data.frame(sapply(split(dat$DCE,interaction(dat$first.Name, dat$Name, dat$Department, drop=T)), rbind))[ooo1,]
>>> Ancient.Nation.QLH Amish.Wives.TAS Auction.Videos.YME
>>> 2 0.28 NA NA
>>> 4 0.28 NA NA
>>> 1 0.54 0.59 0.57
>>> 3 0.54 0.59 0.57
>>>
>>> however I wonder why the order according to the first row is necessary if all NAs are on correct positions?
>>>
>>> Cheers
>>> Petr
>>>
>>>
>>>> -----Original Message-----
>>>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of David
>>>> Winsemius
>>>> Sent: Friday, November 18, 2016 9:30 AM
>>>> To: Karim Mezhoud <kmezhoud at gmail.com>
>>>> Cc: r-help at r-project.org
>>>> Subject: Re: [R] aggregate dataframe by multiple factors
>>>>
>>>>
>>>>> On Nov 17, 2016, at 11:27 PM, Karim Mezhoud <kmezhoud at gmail.com>
>>>> wrote:
>>>>>
>>>>> Dear all,
>>>>>
>>>>> the dat has missing values NA,
>>>>>
>>>>> first.Name Name Department DCE DP date
>>>>> 5 Auction Videos YME 0.57 0.56 2013-09-30
>>>>> 18 Amish Wives TAS 0.59 0.56 2013-09-30
>>>>> 34 Ancient Nation QLH 0.54 0.58 2013-09-30
>>>>> 53 Auction Videos YME NA NA 2013-12-28
>>>>> 66 Amish Wives TAS NA NA 2013-12-28
>>>>> 82 Ancient Nation QLH 0.28 0.29 2013-12-28
>>>>> 102 Auction Videos YME 0.57 0.56 2014-03-30
>>>>> 115 Amish Wives TAS 0.59 0.56 2014-03-30
>>>>> 131 Ancient Nation QLH 0.54 0.58 2014-03-30
>>>>> 150 Auction Videos YME NA NA 2014-06-28
>>>>> 163 Amish Wives TAS NA NA 2014-06-28
>>>>> 179 Ancient Nation QLH 0.28 0.29 2014-06-28
>>>>>
>>>>>
>>>>> agg <- as.data.frame(aggregate(dat[ , c("DCE","DP")], by=
>>>>> list(dat$first.Name, dat$Name, dat$Department) , "sort"))
>>>>
>>>> The closest I could get on a few attempts was:
>>>>
>>>> (agg <- as.data.frame(aggregate(dat[ , c("DCE","DP")], by=
>>>> list(dat$first.Name, dat$Name, dat$Department) , function(d) { unlist(d)}))
>>>> )
>>>>
>>>> Group.1 Group.2 Group.3 DCE.1 DCE.2 DCE.3 DCE.4 DP.1 DP.2 DP.3 DP.4
>>>> 1 Ancient Nation QLH 0.54 0.28 0.54 0.28 0.58 0.29 0.58 0.29
>>>> 2 Amish Wives TAS 0.59 NA 0.59 NA 0.56 NA 0.56 NA
>>>> 3 Auction Videos YME 0.57 NA 0.57 NA 0.56 NA 0.56 NA
>>>>
>>>> I think the sort operation might be somewhat ambiguous in this instance. I
>>>> tried:
>>>>
>>>> (agg <- as.data.frame(aggregate(dat[ , c("DCE","DP")], by=
>>>> list(dat$first.Name, dat$Name, dat$Department) , function(d) {
>>>> unlist(lapply(d,sort))}))
>>>> )
>>>>
>>>> With no success, not even a sorted result.
>>>>
>>>> --
>>>> David.
>>>>>
>>>>>
>>>>> agg has list of value. I would separate value in different columns.
>>>>>
>>>>> Group.1 Group.2 Group.3 DCE DP
>>>>> 1 Ancient Nation QLH 0.28, 0.28, 0.54, 0.54 0.29, 0.29, 0.58, 0.58
>>>>> 2 Amish Wives TAS 0.59, 0.59 0.56, 0.56
>>>>> 3 Auction Videos YME 0.57, 0.57 0.56, 0.56
>>>>>
>>>>> The goal:
>>>>>
>>>>> Group.1 Group.2 Group.3 DCE.1 DCE.2 DCE.3 DCE.4 DP.1 DP.2 DP.3 DP.4
>>>>> 1 Ancient Nation QLH 0.28 0.28 0.54 0.54 0.29, 0.29,
>>>>> 0.58, 0.58
>>>>> 2 Amish Wives TAS NA NA 0.59, 0.59 NA
>>>>> NA 0.56, 0.56
>>>>> 3 Auction Videos YME NA NA 0.57, 0.57 NA
>>>>> NA 0.56, 0.56
>>>>>
>>>>>
>>>>>
>>>>> dat <- structure(list(first.Name = structure(c(3L, 1L, 2L, 3L, 1L, 2L,
>>>>> 3L, 1L, 2L, 3L, 1L, 2L), .Label = c("Amish", "Ancient", "Auction",
>>>>> "Ax", "Bachelorette", "Basketball", "BBQ", "Cake", "Celebrity",
>>>>> "Chef", "Clean", "Colonial", "Comedy", "Comic", "Crocodile", "Dog",
>>>>> "Empire", "Extreme", "Farm", "Half Pint", "Hollywood", "House", "Ice
>>>>> Road", "Jersey", "Justice", "Love", "Mega", "Model", "Modern",
>>>>> "Mountain", "Mystery", "Myth", "New York", "Paradise", "Pioneer",
>>>>> "Queer", "Restaurant", "Road", "Royal", "Spouse", "Star", "Storage",
>>>>> "Survival", "The Great American", "Tool", "Treasure", "Wedding",
>>>>> "Wife"), class = "factor"), Name = structure(c(43L, 47L, 29L, 43L,
>>>>> 47L, 29L, 43L, 47L, 29L, 43L, 47L, 29L), .Label = c("Aliens",
>>>>> "Behavior", "Casino", "Casting Call", "Challenge", "Contest",
>>>>> "Crashers", "Crew", "Dad", "Dancing", "Date", "Disasters", "Dynasty",
>>>>> "Family", "Garage", "Greenlight", "Gypsies", "Haul", "Hot Rod",
>>>>> "Inventor", "Jail", "Job", "Justice", "Marvels", "Master", "Mates",
>>>>> "Model", "Moms", "Nation", "Ninja", "Patrol", "People", "Pitmasters",
>>>>> "Queens", "Rescue", "Rivals", "Room", "Rooms", "Rules", "Star",
>>>>> "Stars", "Superhero", "Videos", "VIP", "Wars", "Wishes", "Wives",
>>>>> "Wrangler"), class = "factor"), Department = structure(c(8L, 6L, 2L,
>>>>> 8L, 6L, 2L, 8L, 6L, 2L, 8L, 6L, 2L), .Label = c("HXW", "QLH", "RAR",
>>>>> "RYC", "SYI", "TAS", "VUV", "YME"), class = "factor"),
>>>>> DCE = c(0.57, 0.59, 0.54, NA, NA, 0.28, 0.57, 0.59, 0.54,
>>>>> NA, NA, 0.28), DP = c(0.56, 0.56, 0.58, NA, NA, 0.29, 0.56,
>>>>> 0.56, 0.58, NA, NA, 0.29), date = structure(c(15978, 15978,
>>>>> 15978, 16067, 16067, 16067, 16159, 16159, 16159, 16249, 16249,
>>>>> 16249), class = "Date")), description = "", row.names = c(5L, 18L,
>>>>> 34L, 53L, 66L, 82L, 102L, 115L, 131L, 150L, 163L, 179L), class =
>>>>> "data.frame", .Names = c("first.Name", "Name", "Department", "DCE",
>>>>> "DP", "date"))
>>>>>
>>>>> [[alternative HTML version deleted]]
>>>>>
>>>>> ______________________________________________
>>>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>>> PLEASE do read the posting guide
>>>>> http://www.R-project.org/posting-guide.html
>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>> David Winsemius
>>>> Alameda, CA, USA
>>>>
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide http://www.R-project.org/posting-
>>>> guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>
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>>
>> David Winsemius
>> Alameda, CA, USA
>>
>>
>
> David Winsemius
> Alameda, CA, USA
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius
Alameda, CA, USA
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