I have a data frame that looks like this :
| name | var1 | var2 | var3 | 
|---|---|---|---|
| a | 1 | 10 | -1 | 
| a | 2 | 20 | -2 | 
| a | 3 | 30 | -3 | 
| b | 4 | 40 | -4 | 
| b | 5 | 50 | -5 | 
| b | 6 | 60 | -6 | 
| c | 7 | 70 | -7 | 
| c | 8 | 80 | -8 | 
| c | 9 | 90 | -9 | 
I want to sum of the sub matrices according to name variable but rowwise in one matrix keeping the column name. (Not to sum all the values in the group a or b).
ideally I want the resulted data frame to look like this :
| var1 | var2 | var3 | 
|---|---|---|
| 12 | 120 | -12 | 
| 15 | 150 | -15 | 
| 18 | 180 | -18 | 
how can I do this in R using dplyr ?
 library(tidyverse)
name = c(rep("a",3),rep("b",3),rep("c",3))
var1 = seq(1,9,1);var1
var2 = seq(10,90,10);var2
var3 = seq(-1,-9,-1);var3
A = tibble(name,var1,var2,var3);A
