[R] R dplyr solution vs. Base R solution for the slect column total

[Boris Steipe]

No it doesn't ...
consider:

test <- data.frame(first=c(1,2), second=c(3,4))
test
  first second
1     1      3
2     2      4

sum(test$second)
[1] 7




On Nov 30, 2014, at 3:48 PM, Muhuri, Pradip (SAMHSA/CBHSQ) <Pradip.Muhuri at samhsa.hhs.gov> wrote:

> Hi Boris,
> 
> That gives me the total for each of the 6 columns of the data frame. I want the column sum just for the last column.
> 
> Thanks,
> 
> Pradip Muhuri
> 
> 
> 
> -----Original Message-----
> From: Boris Steipe [mailto:boris.steipe at utoronto.ca] 
> Sent: Sunday, November 30, 2014 12:50 PM
> To: Muhuri, Pradip (SAMHSA/CBHSQ)
> Cc: r-help at r-project.org
> Subject: Re: [R] R dplyr solution vs. Base R solution for the slect column total
> 
> try:
> 
> sum(test$count)
> 
> 
> B.
> 
> 
> On Nov 30, 2014, at 12:01 PM, Muhuri, Pradip (SAMHSA/CBHSQ) <Pradip.Muhuri at samhsa.hhs.gov> wrote:
> 
>> Hello,
>> 
>> I am looking for a dplyr or base R solution for the column total - JUST FOR THE LAST COLUMN in the example below. The following code works, giving me the total for each column - This is not exactly what I want.
>> rbind(test, colSums(test))
>> 
>> I only want the total for the very last column.  I am struggling with 
>> this part of the code: rbind(test, c("Total", colSums(test, ...))) I have searched for a solution on Stack Oveflow.  I found  some mutate() code for the cumsum but no luck for the select column total.  Is there a dplyr solution for the select column total?
>> 
>> Any hints will be appreciated.
>> 
>> Thanks,
>> 
>> Pradip Muhuri
>> 
>> 
>> ####### The following is from the console - the R script with reproducible example is also appended.
>> 
>> 
>> mrjflag cocflag inhflag halflag oidflag count
>> 1        0       0       0       0       0   256
>> 2        0       0       0       1       1   256
>> 3        0       0       1       0       1   256
>> 4        0       0       1       1       1   256
>> 5        0       1       0       0       1   256
>> 6        0       1       0       1       1   256
>> 7        0       1       1       0       1   256
>> 8        0       1       1       1       1   256
>> 9        1       0       0       0       1   256
>> 10       1       0       0       1       1   256
>> 11       1       0       1       0       1   256
>> 12       1       0       1       1       1   256
>> 13       1       1       0       0       1   256
>> 14       1       1       0       1       1   256
>> 15       1       1       1       0       1   256
>> 16       1       1       1       1       1   256
>> 17       8       8       8       8      15  4096
>> 
>> 
>> 
>> #######################  below is the reproducible example 
>> ########################
>> library(dplyr)
>> # generate data
>> dlist <- rep( list( 0:1 ), 4 )
>> data <- do.call(expand.grid, drbind)
>> data$id <- 1:nrow(data)
>> names(data) <- c('mrjflag', 'cocflag', 'inhflag', 'halflag')
>> 
>> 
>> # mutate a column and then sumamrize
>> test <- data %>%
>>      mutate(oidflag= ifelse(mrjflag==1 | cocflag==1 | inhflag==1 | halflag==1, 1, 0)) %>%
>>      group_by(mrjflag,cocflag, inhflag, halflag, oidflag) %>%
>>      summarise(count=n()) %>%
>>      arrange(mrjflag,cocflag, inhflag, halflag, oidflag)
>> 
>> 
>> #  This works, giving me the total for each column - This is not what I exactly want.
>>   rbind(test, colSums(test))
>> 
>> # I only want the total for the very last column rbind(test, 
>> c("Total", colSums(test, ...)))
>> 
>> Pradip K. Muhuri, PhD
>> SAMHSA/CBHSQ
>> 1 Choke Cherry Road, Room 2-1071
>> Rockville, MD 20857
>> Tel: 240-276-1070
>> Fax: 240-276-1260
>> 
>> 
>> 	[[alternative HTML version deleted]]
>> 
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>