[R] dplyr : row total for all groups in dplyr summarise

[David Winsemius]

mtcars %>%
   group_by (am, gear) %>%
   summarise (n=n()) %>%
   mutate(rel.freq = paste0(round(100 * n/sum(n), 0), "%")) %>%
   ungroup() %>% plyr::rbind.fill(data.frame( n=nrow(mtcars),rel.freq="100%”))


> On Jul 5, 2016, at 4:47 AM, maicel at infomed.sld.cu wrote:
> 
> Sorry, what I wanted to do was to add a total row at the end of the summary. The marginal totals by columns correspond to 100% and the sum of levels.
> best reagard
> Maicel Monzon
> 
> 
> Ulrik Stervbo <ulrik.stervbo at gmail.com> escribió:
> 
>> Yes. But in the sample code the data is summarised. In which case you get 4
>> rows and not the correct 32.
>> 
>> On Tue, 5 Jul 2016, 07:48 David Winsemius, <dwinsemius at comcast.net> wrote:
>> 
>>> nrow(mtcars)
>>> 
>>> 
>>> Sent from my iPhone
>>> 
>>> On Jul 4, 2016, at 9:03 PM, Ulrik Stervbo <ulrik.stervbo at gmail.com> wrote:
>>> 
>>> That will give you the wrong result when used on summarised data
>>> 
>>> David Winsemius <dwinsemius at comcast.net> schrieb am Di., 5. Juli 2016
>>> 02:10:
>>> 
>>>> I thought there was an nrow() function?
>>>> 
>>>> Sent from my iPhone
>>>> 
>>>> On Jul 4, 2016, at 9:59 AM, Ulrik Stervbo <ulrik.stervbo at gmail.com>
>>>> wrote:
>>>> 
>>>> If you want the total number of rows in the original data.frame after
>>>> counting the rows in each group, you can ungroup and sum the row counts,
>>>> like:
>>>> 
>>>> library("dplyr")
>>>> 
>>>> 
>>>> mtcars %>%
>>>>   group_by (am, gear) %>%
>>>>   summarise (n=n()) %>%
>>>>   mutate(rel.freq = paste0(round(100 * n/sum(n), 0), "%")) %>%
>>>>   ungroup() %>%
>>>>   mutate(row.tot = sum(n))
>>>> 
>>>> HTH
>>>> Ulrik
>>>> 
>>>> On Mon, 4 Jul 2016 at 18:23 David Winsemius <dwinsemius at comcast.net>
>>>> wrote:
>>>> 
>>>>> 
>>>>> > On Jul 4, 2016, at 6:56 AM, maicel at infomed.sld.cu wrote:
>>>>> >
>>>>> > Hello,
>>>>> > How can I aggregate row total for all groups in dplyr summarise ?
>>>>> 
>>>>> Row total ? of what? Aggregate ? how? What is the desired answer?
>>>>> 
>>>>> 
>>>>> 
>>>>> > library(dplyr)
>>>>> > mtcars %>%
>>>>> >  group_by (am, gear) %>%
>>>>> >  summarise (n=n()) %>%
>>>>> >  mutate(rel.freq = paste0(round(100 * n/sum(n), 0), "%"))
>>>>> >
>>>>> > best regard
>>>>> > Maicel Monzon
>>>>> >
>>>>> >
>>>>> >
>>>>> > ----------------------------------------------------------------
>>>>> >
>>>>> >
>>>>> >
>>>>> >
>>>>> > --
>>>>> > Este mensaje le ha llegado mediante el servicio de correo electronico
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>>>>> compromiso de usar el servicio a tales fines y cumplir con las regulaciones
>>>>> establecidas
>>>>> >
>>>>> > Infomed: http://www.sld.cu/
>>>>> >
>>>>> > ______________________________________________
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>>>>> > PLEASE do read the posting guide
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>>>>> 
>>>>> ______________________________________________
>>>>> 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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> Este mensaje le ha llegado mediante el servicio de correo electronico que ofrece Infomed para respaldar el cumplimiento de las misiones del Sistema Nacional de Salud. La persona que envia este correo asume el compromiso de usar el servicio a tales fines y cumplir con las regulaciones establecidas
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> Infomed: http://www.sld.cu/
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