You can install ‘lplyr’ from GitHub with:
# install.packages("devtools") devtools::install_github("paulponcet/lplyr")
The package ‘lplyr’ extends some dplyr verbs to lists and pairlists:
library(lplyr) xs <- list(x1 = 1:3, x2 = 2:5, x3 = list("alpha", c("beta", "gamma"))) mutate(xs, x4 = 4) rename(xs, x0 = x1)
Usual verbs made for standard evaluation work as well:
mutate_(xs, x4 = ~ 4) rename_(xs, x0 = ~ x1)
transmute_which functions are made for adding new variables or modifying existing ones on a subset of the data.
df <- mtcars[1:10,] mutate_which(df, gear==4, carb = 100) transmute_which(df, gear==4, carb = 100)
There is also a standard evaluation version of these functions, called
mutate_which_(df, ~ gear==4, carb = ~ 100) transmute_which_(df, ~ gear==4, carb = ~ 100)
pull selects a column in a data frame and transforms it into a vector. This is useful to use it in combination with magrittr’s pipe operator and dplyr’s verbs.
mtcars[["mpg"]] mtcars %>% pull(mpg) # more convenient than (mtcars %>% filter(mpg > 20))[[3L]] mtcars %>% filter(mpg > 20) %>% pull(3)