r - Final row with the sum of the previous results -


this question has answer here:

i want generate result includes final row find sum of previous results. have following scenario.

input data:

group <- c("a","s","a","t","a","s") id <- c(25, 34, 28, 52, 3 ,5) dataframe <- data.frame(group, id) dataframe 

current function:

result = group_by(dataframe,group) %>%   summarise(q = n()) %>%   mutate (freq = round(q / sum(q), 3))  result 

current result:

   group     q  freq   (fctr) (int) (dbl) 1          3 0.500 2      s     2 0.333 3      t     1 0.167 

dessired result:

   group     q  freq   (fctr) (int) (dbl) 1          3 0.500 2      s     2 0.333 3      t     1 0.167 total        6 1 

how can generate total row?

thank much.

the closest in r this:

list(as.data.frame(result),"total" = colsums(result[,-1])) 

which preferred if want keep in within r. if need table printing purposes (pdf,html) etc., using print.table example, go this:

result <- as.data.frame(result) result["total",] <- c(na,colsums(result[,-1])) 

and later replace na. quite dirty way , makes quite unusable further calculations.

also asked before, kind of: how add row data frame totals?


Comments

Popular posts from this blog

java - Suppress Jboss version details from HTTP error response -

gridview - Yii2 DataPorivider $totalSum for a column -

Sass watch command compiles .scss files before full sftp upload -