r:tidyverse:dplyr_arrange
arrange, desc (dplyr)
Per ordinare un dataframe in R, in base ai valori di una o più delle variabili in esso contenute, possiamo utilizzare la funzione arrange() del pacchetto *dplyr*.
Ad esempio:
- es_arrange.R
# pacchetti library(tidyverse) library(nycflights13) # dati data(flights) arrange(flights, year, month, day)
## # A tibble: 336,776 x 19 ## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time ## <int> <int> <int> <int> <int> <dbl> <int> <int> ## 1 2013 1 1 517 515 2 830 819 ## 2 2013 1 1 533 529 4 850 830 ## 3 2013 1 1 542 540 2 923 850 ## 4 2013 1 1 544 545 -1 1004 1022 ## 5 2013 1 1 554 600 -6 812 837 ## 6 2013 1 1 554 558 -4 740 728 ## # … with 336,770 more rows, and 11 more variables: arr_delay <dbl>, ## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>, ## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>
Per ordinare i dati in ordine decrescente, usiamo desc():
arrange(flights, desc(dep_delay)) <code> ## # A tibble: 336,776 x 19 ## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time ## <int> <int> <int> <int> <int> <dbl> <int> <int> ## 1 2013 1 9 641 900 1301 1242 1530 ## 2 2013 6 15 1432 1935 1137 1607 2120 ## 3 2013 1 10 1121 1635 1126 1239 1810 ## 4 2013 9 20 1139 1845 1014 1457 2210 ## 5 2013 7 22 845 1600 1005 1044 1815 ## 6 2013 4 10 1100 1900 960 1342 2211 ## # … with 336,770 more rows, and 11 more variables: arr_delay <dbl>, ## # carrier <chr>, flight <int>, tailnum <chr>, origin <chr>, dest <chr>, ## # air_time <dbl>, distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>
Vedi:
- Operatori logici - RDocumentation: arrange - RDocumentation: desc
r/tidyverse/dplyr_arrange.txt · Ultima modifica: 11/08/2025 14:40 da Agnese Vardanega
