%>% {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()))