| %>% {plotGrouper} | R Documentation |
Like dplyr, ggvis also uses the pipe function, %>% to turn
function composition into a series of imperative statements.
lhs, rhs |
A visualisation and a function to apply to it |
# Instead of
dplyr::mutate(dplyr::filter(iris, Species == "versicolor"),
"Sample" = paste0(Species, dplyr::row_number()))
# You can write
dplyr::filter(iris, Species == "versicolor") %>%
dplyr::mutate("Sample" = paste0(Species, "_", dplyr::row_number()))