R help - Feb 2018 - Aggregate over multiple and unequal column length data frames

Hi All--

I have generated several 2 column data frames with variable length. The
data frames have the same column names and variable types. I was trying to
aggregate over the 2nd column for all the date frames, but could not figure
out how.

I thought i could make them all of equal length then combine them in 1 data
frame where i can use aggregate, the formula version
Or to put them in a list and loop use lapply but did not know how to do
that and thought there might be a simpler way.

Below is an example of 3 data frames and the desired result; note that some
levels don't appear in all and may be null over all variable, like the case
of dd on the desired result which i would like to list all levels even if
some are all null.

Thanks in advance,

EK

   df1           df2          df3

c1 c2 c1 c2 c1 c2
1 aa 1 bb 1 aa
2 aa 2 bb 2 aa
3 bb 3 cc
4 cc 4 bb
5 bb

desired result

c1 c2 c2 c2
aa 2 2
bb 1 2 2
cc 1 1
dd

	[[alternative HTML version deleted]]

All columns in a data.frame **must** have the same length. So you cannot do
this unless empty values are filled with missings (NA's).

-- Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Tue, Feb 20, 2018 at 6:33 PM, Ek Esawi <esawiek at gmail.com> wrote:
>  Hi All--
>
> I have generated several 2 column data frames with variable length. The
> data frames have the same column names and variable types. I was trying to
> aggregate over the 2nd column for all the date frames, but could not figure
> out how.
>
> I thought i could make them all of equal length then combine them in 1 data
> frame where i can use aggregate, the formula version
> Or to put them in a list and loop use lapply but did not know how to do
> that and thought there might be a simpler way.
>
> Below is an example of 3 data frames and the desired result; note that some
> levels don't appear in all and may be null over all variable, like the
case
> of dd on the desired result which i would like to list all levels even if
> some are all null.
>
> Thanks in advance,
>
> EK
>
>    df1           df2          df3
>
> c1 c2 c1 c2 c1 c2
> 1 aa 1 bb 1 aa
> 2 aa 2 bb 2 aa
> 3 bb 3 cc
> 4 cc 4 bb
> 5 bb
>
> desired result
>
> c1 c2 c2 c2
> aa 2 2
> bb 1 2 2
> cc 1 1
> dd
>
>         [[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.
>
	[[alternative HTML version deleted]]

Hi

Your example is rather confusing - partly because HTML formating, partly because
weird coding.

You probably could concatenate your data frames e.g. by rbind or merge and after
that you could try to aggregate them somehow.

I could construct example data.frames myself but most probably they would be
different from yours and also the result would not be necessary the same as you
expect.

You should post those data frames as output from dput(data) and show us real
desired result from those example data frames.

Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Ek Esawi
> Sent: Wednesday, February 21, 2018 3:34 AM
> To: r-help at r-project.org
> Subject: [R] Aggregate over multiple and unequal column length data frames
>
>  Hi All--
>
> I have generated several 2 column data frames with variable length. The
data
> frames have the same column names and variable types. I was trying to
> aggregate over the 2nd column for all the date frames, but could not figure
out
> how.
>
> I thought i could make them all of equal length then combine them in 1 data
> frame where i can use aggregate, the formula version Or to put them in a
list
> and loop use lapply but did not know how to do that and thought there might
> be a simpler way.
>
> Below is an example of 3 data frames and the desired result; note that some
> levels don't appear in all and may be null over all variable, like the
case of dd
> on the desired result which i would like to list all levels even if some
are all null.
>
> Thanks in advance,
>
> EK
>
>    df1           df2          df3
>
> c1 c2 c1 c2 c1 c2
> 1 aa 1 bb 1 aa
> 2 aa 2 bb 2 aa
> 3 bb 3 cc
> 4 cc 4 bb
> 5 bb
>
> desired result
>
> c1 c2 c2 c2
> aa 2 2
> bb 1 2 2
> cc 1 1
> dd
>
> [[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.
________________________________
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Thank you Pikal and Bert. My apology for posting parts of my previous
email in HTML. Bert's suggestion will work but i am wondering if there
is an alternative
especially in the case where the data frames are big; that is the
difference in lengths among them is large. Below is a list of sample
date frames and desired result.

EK


dput(df1<-data.frame(col1=c(1,2,3,4,5),col2=c("aa","aa","bb","cc","dd")))
dput(df2<-data.frame(col1=c(1,2,4,5),col2=c("bb","bb","cc","bb")))
dput(df3<-data.frame(col1=c(1,3),col2=c("aa","aa")))
# desired result
dput(dfn<-data.frame(col1=c(2,2,1,1),col2=c(0,3,1,0),col3=c(2,0,0,0),row.names
= c("aa","bb","cc","dd")))

On Fri, Feb 23, 2018 at 7:45 AM, PIKAL Petr <petr.pikal at precheza.cz>
wrote:
> Hi
>
> Your example is rather confusing - partly because HTML formating, partly
because weird coding.
>
> You probably could concatenate your data frames e.g. by rbind or merge and
after that you could try to aggregate them somehow.
>
> I could construct example data.frames myself but most probably they would
be different from yours and also the result would not be necessary the same as
you expect.
>
> You should post those data frames as output from dput(data) and show us
real desired result from those example data frames.
>
> Cheers
> Petr
>
>> -----Original Message-----
>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Ek
Esawi
>> Sent: Wednesday, February 21, 2018 3:34 AM
>> To: r-help at r-project.org
>> Subject: [R] Aggregate over multiple and unequal column length data
frames
>>
>>  Hi All--
>>
>> I have generated several 2 column data frames with variable length. The
data
>> frames have the same column names and variable types. I was trying to
>> aggregate over the 2nd column for all the date frames, but could not
figure out
>> how.
>>
>> I thought i could make them all of equal length then combine them in 1
data
>> frame where i can use aggregate, the formula version Or to put them in
a list
>> and loop use lapply but did not know how to do that and thought there
might
>> be a simpler way.
>>
>> Below is an example of 3 data frames and the desired result; note that
some
>> levels don't appear in all and may be null over all variable, like
the case of dd
>> on the desired result which i would like to list all levels even if
some are all null.
>>
>> Thanks in advance,
>>
>> EK
>>
>>    df1           df2          df3
>>
>> c1 c2 c1 c2 c1 c2
>> 1 aa 1 bb 1 aa
>> 2 aa 2 bb 2 aa
>> 3 bb 3 cc
>> 4 cc 4 bb
>> 5 bb
>>
>> desired result
>>
>> c1 c2 c2 c2
>> aa 2 2
>> bb 1 2 2
>> cc 1 1
>> dd
>>
>> [[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.
>
> ________________________________
> Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou
ur?eny pouze jeho adres?t?m.
> Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? neprodlen?
jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie vyma?te ze
sv?ho syst?mu.
> Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento email
jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat.
> Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi
?i zpo?d?n?m p?enosu e-mailu.
>
> V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?:
> - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en?
smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu.
> - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? p?ijmout;
Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze strany p??jemce
s dodatkem ?i odchylkou.
> - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve v?slovn?m
dosa?en?m shody na v?ech jej?ch n?le?itostech.
> - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za
spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? zmocn?n nebo
p?semn? pov??en a takov? pov??en? nebo pln? moc byly adres?tovi tohoto emailu
p??padn? osob?, kterou adres?t zastupuje, p?edlo?eny nebo jejich existence je
adres?tovi ?i osob? j?m zastoupen? zn?m?.
>
> This e-mail and any documents attached to it may be confidential and are
intended only for its intended recipients.
> If you received this e-mail by mistake, please immediately inform its
sender. Delete the contents of this e-mail with all attachments and its copies
from your system.
> If you are not the intended recipient of this e-mail, you are not
authorized to use, disseminate, copy or disclose this e-mail in any manner.
> The sender of this e-mail shall not be liable for any possible damage
caused by modifications of the e-mail or by delay with transfer of the email.
>
> In case that this e-mail forms part of business dealings:
> - the sender reserves the right to end negotiations about entering into a
contract in any time, for any reason, and without stating any reasoning.
> - if the e-mail contains an offer, the recipient is entitled to immediately
accept such offer; The sender of this e-mail (offer) excludes any acceptance of
the offer on the part of the recipient containing any amendment or variation.
> - the sender insists on that the respective contract is concluded only upon
an express mutual agreement on all its aspects.
> - the sender of this e-mail informs that he/she is not authorized to enter
into any contracts on behalf of the company except for cases in which he/she is
expressly authorized to do so in writing, and such authorization or power of
attorney is submitted to the recipient or the person represented by the
recipient, or the existence of such authorization is known to the recipient of
the person represented by the recipient.