I have this data frame called "game":
all_d tit_for_tat perm_retal random joss tester tit_for_two
all_d 200 199 199 102 199 198 198
tit_for_tat 204 600 600 483 215 599 600
perm_retal 204 600 600 113 208 202 600
random 579 440 608 445 481 429 381
joss 204 250 245 417 201 251 538
tester 208 599 207 453 225 598 303
tit_for_two 208 600 600 610 639 798 600
score 1807 3288 3059 2623 2168 3075 3220
I would like to get the sum by adding each row in an efficient manner, I was able to do it with:
game %>% rowwise() %>% mutate(score = sum(c(all_d,tit_for_tat,perm_retal,random,joss,tester,tit_for_two)))
to get this table:
all_d tit_for_tat perm_retal random joss tester tit_for_two score
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 200 199 199 102 199 198 198 1295
2 204 600 600 483 215 599 600 3301
3 204 600 600 113 208 202 600 2527
4 579 440 608 445 481 429 381 3363
5 204 250 245 417 201 251 538 2106
6 208 599 207 453 225 598 303 2593
7 208 600 600 610 639 798 600 4055
8 1807 3288 3059 2623 2168 3075 3220 19240
The question is, say I had a lot more rows to so summarise, is there a better way of adding all the row values to save me the time of typing all the column names?