Mutate uses window functions, functions that take a vector of values and return another vector of values, such as: window function summary function dplyr::first First value of a vector. dplyr::last Last value of a vector. dplyr::nth ...
transmute– add new columns that can be functions of the existing columns, and drop the existing columns tiny <- transmute(tiny, id = 1:3, country, continent, newVarSqrt = sqrt(newVar), pop) tiny ## # A tibble: 3 × 5 ## id country continent newVarSqrt pop ## <int> <fctr> <...
If you encounter a clear bug, please file a minimal reproducible example ongithub. For questions and other discussion, please use themanipulatr mailing list. Cheatsheet Usage library(dplyr)starwars%>% filter(species=="Droid")#> # A tibble: 5 x 13#> name height mass hair_color skin_color ...
If you encounter a clear bug, please file a minimal reproducible example ongithub. For questions and other discussion, please use themanipulatr mailing list. Cheatsheet Usage library(dplyr)starwars%>% filter(species=="Droid")#> # A tibble: 5 x 13#> name height mass hair_color skin_color ...
Cheatsheet Usage library(dplyr)starwars%>% filter(species=="Droid")#> # A tibble: 5 x 13#> name height mass hair_color skin_color eye_color birth_year gender#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr>#> 1 C-3PO 167 75 <NA> gold yellow 112 <NA>#> 2 R2-D2 ...
Cheatsheet Usage library(dplyr)starwars%>% filter(species=="Droid")#> # A tibble: 5 x 13#> name height mass hair_color skin_color eye_color birth_year gender#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr>#> 1 C-3PO 167 75 <NA> gold yellow 112 <NA>#> 2 R2-D2 ...
Cheatsheet Usage library(dplyr)starwars%>% filter(species=="Droid")#> # A tibble: 5 x 13#> name height mass hair_color skin_color eye_color birth_year gender#> <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr>#> 1 C-3PO 167 75 <NA> gold yellow 112 <NA>#> 2 R2-D2 ...
mutate()adds new variables that are functions of existing variables select()picks variables based on their names. filter()picks cases based on their values. summarise()reduces multiple values down to a single summary. arrange()changes the ordering of the rows. ...
mutate() adds new variables that are functions of existing variables select() picks variables based on their names. filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows. These all combine naturally...
dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges:mutate() adds new variables that are functions of existing variables select() picks variables based on their names. filter() picks cases based on their ...