data.table(iris) %>% group_by(Species) %>% summarise_at(vars(starts_with("Sepal")), funs(sum))
Error in !funs : invalid argument typeconvert the data type data.table to data.frame.
> data.frame(iris) %>% group_by(Species) %>% summarise_at(vars(starts_with("Sepal")), funs(sum))
# A tibble: 3 x 3
Species Sepal.Length Sepal.Width
<fct> <dbl> <dbl>
1 setosa 250. 171.
2 versicolor 297. 138.
3 virginica 329. 149.