HI,
From the ?aggregate(),
formula: a formula, such as ‘y ~ x’ or ‘cbind(y1, y2) ~ x1 + x2’,
where the ‘y’ variables are numeric data to be split into
groups according to the grouping ‘x’ variables (usually
factors).
So, I converted your data to factors for the grouping variable, the results are
the same.
convert.type1 <- function(obj,types){
for (i in 1:length(obj)){
FUN <- switch(types[i],character = as.character,
numeric = as.numeric,
factor = as.factor)
obj[,i] <- FUN(obj[,i])
}
obj
}
dat2<-convert.type1(dat1,c("factor","factor","factor","factor","factor","factor","factor","factor","numeric","factor","factor"))
str(dat2)
'data.frame': 8 obs. of 11 variables:
$ Data : Factor w/ 1 level "VTM": 1 1 1 1 1 1 1 1
$ Plot : Factor w/ 4 levels "39C16","39F11",..: 1 1 2 2 3 3 4 4
$ Lat : Factor w/ 4 levels "39.54522","39.56214",..: 4 4 3 3 2 2 1 1
$ LatCat : Factor w/ 1 level "Lat6": 1 1 1 1 1 1 1 1
$ Elevation: Factor w/ 3 levels "500","900","1500": 3 3 1 1 3 3 2 2
$ ElevCat : Factor w/ 1 level "Elev1": 1 1 1 1 1 1 1 1
$ Type : Factor w/ 1 level "Conifer": 1 1 1 1 1 1 1 1
$ SizeClass: Factor w/ 2 levels "Class3","Class4": 1 2 1 2 1 2 1 2
$ Stems : num 0 1 0 0 3 1 1 2
$ Area : Factor w/ 3 levels "694.0784","751.5347",..: 2 2 2 2 1 1 3 3
$ Density : Factor w/ 3 levels "0","13.08926",..: 1 3 1 1 1 1 2 1
#Taking out Density will group for the combinations of other factors
aggregate(Stems~Plot+Data+Lat+LatCat+Elevation+Type+Area,data=dat2,sum)
Plot Data Lat LatCat Elevation Type Area Stems
1 39F13 VTM 39.56214 Lat6 1500 Conifer 694.0784 4
2 39F11 VTM 39.57721 Lat6 500 Conifer 751.5347 0
3 39C16 VTM 39.76282 Lat6 1500 Conifer 751.5347 1
4 39F14 VTM 39.54522 Lat6 900 Conifer 763.985 3
#but, it won't go lower than this as there are four levels for Plot and Lat,
unless you drop those
aggregate(Stems~Data+LatCat+Elevation+Type,data=dat2,sum)
Data LatCat Elevation Type Stems
1 VTM Lat6 500 Conifer 0
2 VTM Lat6 900 Conifer 3
3 VTM Lat6 1500 Conifer 5
A.K.
----- Original Message -----
From: Christopher R. Dolanc <crdol...@ucdavis.edu>
To: arun <smartpink...@yahoo.com>
Cc:
Sent: Wednesday, August 8, 2012 2:00 PM
Subject: Re: [R] summing and combining rows
OK. I can make this work. Thank you for helping me figure this out.
On 8/8/2012 10:49 AM, arun wrote:
> Hello,
>
> I tried with ddply
>
>
>ddply(dat1,.(Data,Plot,Lat,LatCat,Elevation,Type,Area,Density),summarize,sum(Stems))
> Data Plot Lat LatCat Elevation Type Area Density ..1
> 1 VTM 39C16 39.76282 Lat6 1500 Conifer 751.5347 0.00000 0
> 2 VTM 39C16 39.76282 Lat6 1500 Conifer 751.5347 13.30611 1
> 3 VTM 39F11 39.57721 Lat6 500 Conifer 751.5347 0.00000 0
> 4 VTM 39F13 39.56214 Lat6 1500 Conifer 694.0784 0.00000 4
> 5 VTM 39F14 39.54522 Lat6 900 Conifer 763.9850 0.00000 2
> 6 VTM 39F14 39.54522 Lat6 900 Conifer 763.9850 13.08926 1
>
>
> Results look same as in aggregate.
> Suppose, if you take out density,
>
> ddply(dat1,.(Data,Plot,Lat,LatCat,Elevation,Type,Area),summarize,sum(Stems))
> Data Plot Lat LatCat Elevation Type Area ..1
> 1 VTM 39C16 39.76282 Lat6 1500 Conifer 751.5347 1
> 2 VTM 39F11 39.57721 Lat6 500 Conifer 751.5347 0
> 3 VTM 39F13 39.56214 Lat6 1500 Conifer 694.0784 4
> 4 VTM 39F14 39.54522 Lat6 900 Conifer 763.9850 3
>
> I guess now it is summed.
>
>
>
> A.K.
>
>
>
>
>
>
> ----- Original Message -----
> From: Christopher R. Dolanc <crdol...@ucdavis.edu>
> To: arun <smartpink...@yahoo.com>
> Cc:
> Sent: Wednesday, August 8, 2012 1:19 PM
> Subject: Re: [R] summing and combining rows
>
> ok, so it looks like aggregate lists them separately unless everything
> in the 2 rows matches. Below, we have 2 plots where the density is
> different in Class3 than Class4, and these are not summed. Is that your
> understanding?
>
> Thanks for your help.
>
> Chris
>
> On 8/7/2012 4:18 PM, arun wrote:
>> HI,
>>
>> I tried two ways in aggregate. The results are the same.
>> dat1<-read.table(text="
>> Data Plot Lat LatCat Elevation ElevCat Type
>>SizeClass Stems Area Density
>> VTM 39C16 39.76282 Lat6 1500 Elev1 Conifer
>>Class3 0 751.5347 0.00000
>> VTM 39C16 39.76282 Lat6 1500 Elev1 Conifer
>>Class4 1 751.5347 13.30611
>> VTM 39F11 39.57721 Lat6 500 Elev1 Conifer
>>Class3 0 751.5347 0.00000
>> VTM 39F11 39.57721 Lat6 500 Elev1 Conifer
>>Class4 0 751.5347 0.00000
>> VTM 39F13 39.56214 Lat6 1500 Elev1 Conifer
>>Class3 3 694.0784 0.00000
>> VTM 39F13 39.56214 Lat6 1500 Elev1 Conifer
>>Class4 1 694.0784 0.00000
>> VTM 39F14 39.54522 Lat6 900 Elev1 Conifer
>>Class3 1 763.9850 13.08926
>> VTM 39F14 39.54522 Lat6 900 Elev1 Conifer
>>Class4 2 763.9850 0.00000
>> ",sep="",header=TRUE, stringsAsFactors=FALSE)
>>
>>
>>> with(dat1,aggregate(Stems,list(Plot,Data,Lat,LatCat,Elevation,Type,Area,Density),sum))
>> Group.1 Group.2 Group.3 Group.4 Group.5 Group.6 Group.7 Group.8 x
>> 1 39F13 VTM 39.56214 Lat6 1500 Conifer 694.0784 0.00000 4
>> 2 39F11 VTM 39.57721 Lat6 500 Conifer 751.5347 0.00000 0
>> 3 39C16 VTM 39.76282 Lat6 1500 Conifer 751.5347 0.00000 0
>> 4 39F14 VTM 39.54522 Lat6 900 Conifer 763.9850 0.00000 2
>> 5 39F14 VTM 39.54522 Lat6 900 Conifer 763.9850 13.08926 1
>> 6 39C16 VTM 39.76282 Lat6 1500 Conifer 751.5347 13.30611 1
>>> aggregate(Stems~Plot+Data+Lat+LatCat+Elevation+Type+Area+Density,data=dat1,sum)
>> Plot Data Lat LatCat Elevation Type Area Density Stems
>> 1 39F13 VTM 39.56214 Lat6 1500 Conifer 694.0784 0.00000 4
>> 2 39F11 VTM 39.57721 Lat6 500 Conifer 751.5347 0.00000 0
>> 3 39C16 VTM 39.76282 Lat6 1500 Conifer 751.5347 0.00000 0
>> 4 39F14 VTM 39.54522 Lat6 900 Conifer 763.9850 0.00000 2
>> 5 39F14 VTM 39.54522 Lat6 900 Conifer 763.9850 13.08926 1
>> 6 39C16 VTM 39.76282 Lat6 1500 Conifer 751.5347 13.30611 1
>>
>>
>>
>> The rows with 39.57721 and 39.56214 are the same for SizeClass except the
>> Stems #. It got summed. Otherwise, it is giving both Class3 and Class4
>> values separately.
>>
>> A.K.
>>
>>
>>
>>
>>
>>
>>
>>
>> ----- Original Message -----
>> From: Christopher R. Dolanc <crdol...@ucdavis.edu>
>> To: arun <smartpink...@yahoo.com>
>> Cc:
>> Sent: Tuesday, August 7, 2012 6:38 PM
>> Subject: Re: [R] summing and combining rows
>>
>> Hmmm. It looks like it's only giving me the values for Class3, instead
>> of summing, which is why I thought the "+" method might not be the
>> appropriate coding.
>>
>> Here's the code I used:
>>
>>> CH_Con_Elev1SC34a<-
>> aggregate(Stems~Plot+Data+Lat+LatCat+Elevation+Type+Area+Density,
>> data=CH_Con_Elev1SC34, sum)
>>> CH_Con_Elev1SC34b<- data.frame(CH_Con_Elev1SC34a,
>> SizeClass=rep("Class34",))
>>
>> If it helps, attached is a txt file with the data structure.
>>
>> On 8/7/2012 3:00 PM, arun wrote:
>>> Hi,
>>> Not sure why you mentioned "+" doesn't work.
>>> dat1<-read.table(text="
>>> Plot Elevation Area SizeClass Stems
>>> 12 1200 132.4 Class3 0
>>> 12 1200 132.4 Class4 1
>>> 17 2320 209.1 Class3 3
>>> 17 2320 209.1 Class4 5
>>> ",sep="",header=TRUE,stringsAsFactors=FALSE)
>>>
>>> dat2<-aggregate(Stems~Plot+Elevation+Area, data=dat1,sum)
>>> dat3<-data.frame(dat2,SizeClass=rep("Class34",2))
>>> dat3<-dat3[,c(1:3,5,4)]
>>> dat3
>>> # Plot Elevation Area SizeClass Stems
>>> #1 12 1200 132.4 Class34 1
>>> #2 17 2320 209.1 Class34 8
>>>
>>> A.K.
>>>
>>>
>>>
>>>
>>>
>>>
>>> ----- Original Message -----
>>> From: Christopher R. Dolanc <crdol...@ucdavis.edu>
>>> To: arun <smartpink...@yahoo.com>
>>> Cc:
>>> Sent: Tuesday, August 7, 2012 5:47 PM
>>> Subject: Re: [R] summing and combining rows
>>>
>>> Thanks for your response. The aggregate method mostly works for me, but
>>> I have numerous other columns that I'd like to keep in the result. So,
>>> if I have something like this:
>>>
>>>
>>> Plot Elevation Area SizeClass Stems
>>> 12 1200 132.4 Class3 0
>>> 12 1200 132.4 Class4 1
>>> 17 2320 209.1 Class3 3
>>> 17 2320 209.1 Class4 5
>>>
>>> How can I make it look like this?
>>>
>>> Plot Elevation Area SizeClass Stems
>>> 12 1200 132.4 Class34 1
>>> 17 2320 209.1 Class34 8
>>>
>>> I see something in ?aggregate about adding columns with a +, but this
>>> doesn't quite work for me.
>>>
>>>
>>> On 8/7/2012 2:32 PM, arun wrote:
>>>> Hi,
>>>>
>>>> Try this:
>>>> dat1<-read.table(text="
>>>> Plot SizeClass Stems
>>>> 12 Class3 1
>>>> 12 Class4 3
>>>> 17 Class3 5
>>>> 17 Class4 2
>>>> ",sep="",header=TRUE, stringsAsFactors=FALSE)
>>>>
>>>>
>>>>
>>>> ddply(dat1,.(Plot), summarize, sum(Stems))
>>>>
>>>> #or
>>>>
>>>>
>>>> dat2<-aggregate(Stems~Plot,data=dat1,sum)
>>>> dat3<-data.frame(dat2,SizeClass=rep("Class34",2))
>>>> dat3
>>>> # Plot Stems SizeClass
>>>> #1 12 4 Class34
>>>> #2 17 7 Class34
>>>>
>>>>
>>>> A.K.
>>>>
>>>> ----- Original Message -----
>>>> From: Christopher R. Dolanc <crdol...@ucdavis.edu>
>>>> To: r-help@r-project.org
>>>> Cc:
>>>> Sent: Tuesday, August 7, 2012 1:47 PM
>>>> Subject: [R] summing and combining rows
>>>>
>>>> Hello,
>>>>
>>>> I have a data set that needs to be combined so that rows are summed by a
>>>> group based on a certain variable. I'm pretty sure rowsum() or rowsums()
>>>> can do this but it's difficult for me to figure out how it will work for
>>>> my data based on the examples I've read.
>>>>
>>>> My data are structured like this:
>>>>
>>>> Plot SizeClass Stems
>>>> 12 Class3 1
>>>> 12 Class4 3
>>>> 17 Class3 5
>>>> 17 Class4 2
>>>>
>>>> I simply want to sum the size classes by plot and create a new data frame
>>>> with a size class called "Class34" or with the SizeClass variable removed.
>>>> I actually do have other size classes that I want to leave alone, but
>>>> combine 3 and 4, so if I could figure out how to do this by creating a new
>>>> class, that would be preferable.
>>>>
>>>> I've also attached a more detailed sample of data.
>>>>
>>>> Thanks,
>>>> Chris Dolanc
>>>>
>>>> -- Christopher R. Dolanc
>>>> Post-doctoral Researcher
>>>> University of Montana and UC-Davis
>>>>
>>>>
>>>> ______________________________________________
>>>> R-help@r-project.org mailing list
>>>> 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.
>>>>
>>>>
--
Christopher R. Dolanc
Post-doctoral Researcher
University of Montana and UC-Davis
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