by_vs #> # A tibble: 4 × 3 #> # Groups: vs #> vs am n #> #> 1 0 0 12 #> 2 0 1 6 #> 3 1 0 7 #> 4 1 1 7 by_vs %>% summarise (n = sum ( n ) ) #> # A tibble: 2 × 2 #> vs n #> #> 1 0 18 #> 2 1 14 # To removing grouping, use ungroup by_vs %>% ungroup ( ) %>% summarise (n = sum ( n ) ) #> # A tibble: 1 × 1 #> n #> #> 1 32 # By default, group_by() overrides existing grouping by_cyl %>% group_by ( vs, am ) %>% group_vars ( ) #> "vs" "am" # Use add = TRUE to instead append by_cyl %>% group_by ( vs, am. You can override using the #> `.groups` argument. 123 3.92 3.44 18.3 1 0 4 4 #> # ℹ 22 more rows # It changes how it acts with the other dplyr verbs: by_cyl %>% summarise ( disp = mean ( disp ), hp = mean ( hp ) ) #> # A tibble: 3 × 3 #> cyl disp hp #> #> 1 4 105.
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