{introverse} quick docs
dplyr::arrange()
get_help() docs
Description
The arrange() function is part of the {dplyr} package, which is part of the {tidyverse}.
We use this function to arrange tibble rows in ascending order of the given column. To arrange by descending order, you need to use desc() around your column argument.
To use this function, you need to either first load the {dplyr} library, or always use the function with dplyr::arrange() notation.
# Load the library
library(dplyr)
# Or, load the full tidyverse:
library(tidyverse)
# Or, use :: notation
dplyr::arrange()Conceptual Usage
# Sort in ascending order of the to given column
tibble %>%
arrange(column to sort by in ascending order)
# Sort in descending order of the to given column
tibble %>%
arrange(desc(column to sort by in descending order))Examples
The examples below use the carnivores dataset. Learn more about this dataset with get_help("carnivores").
# Show the carnivores dataset
carnivores## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Arctic fox Vulpes 11.5 0.0445
## 2 Cheetah Acinonyx 11.9 NA
## 3 Dog Canis 13.9 0.07
## 4 Gray seal Haliochoerus 17.8 0.325
## 5 Jaguar Panthera 13.6 0.157
## 6 Lion Panthera 10.5 NA
## 7 Northern fur seal Callorhinus 15.3 NA
## 8 Red fox Vulpes 14.2 0.0504
## 9 Tiger Panthera 8.2 NA# Arrange in alphebetal order of genus
carnivores %>%
arrange(genus)## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Cheetah Acinonyx 11.9 NA
## 2 Northern fur seal Callorhinus 15.3 NA
## 3 Dog Canis 13.9 0.07
## 4 Gray seal Haliochoerus 17.8 0.325
## 5 Jaguar Panthera 13.6 0.157
## 6 Lion Panthera 10.5 NA
## 7 Tiger Panthera 8.2 NA
## 8 Arctic fox Vulpes 11.5 0.0445
## 9 Red fox Vulpes 14.2 0.0504
# Arrange in reverse alphabetical order of genus
carnivores %>%
arrange(desc(genus))## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Arctic fox Vulpes 11.5 0.0445
## 2 Red fox Vulpes 14.2 0.0504
## 3 Jaguar Panthera 13.6 0.157
## 4 Lion Panthera 10.5 NA
## 5 Tiger Panthera 8.2 NA
## 6 Gray seal Haliochoerus 17.8 0.325
## 7 Dog Canis 13.9 0.07
## 8 Northern fur seal Callorhinus 15.3 NA
## 9 Cheetah Acinonyx 11.9 NA# Arrange in ascending order of awake
carnivores %>%
arrange(awake)## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Tiger Panthera 8.2 NA
## 2 Lion Panthera 10.5 NA
## 3 Arctic fox Vulpes 11.5 0.0445
## 4 Cheetah Acinonyx 11.9 NA
## 5 Jaguar Panthera 13.6 0.157
## 6 Dog Canis 13.9 0.07
## 7 Red fox Vulpes 14.2 0.0504
## 8 Northern fur seal Callorhinus 15.3 NA
## 9 Gray seal Haliochoerus 17.8 0.325# Arrange in descending order of awake.
# Since awake is a _numeric_ column, there are two strategies to achieve this
# First, using `desc()`
carnivores %>%
arrange(desc(awake))
## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Gray seal Haliochoerus 17.8 0.325
## 2 Northern fur seal Callorhinus 15.3 NA
## 3 Red fox Vulpes 14.2 0.0504
## 4 Dog Canis 13.9 0.07
## 5 Jaguar Panthera 13.6 0.157
## 6 Cheetah Acinonyx 11.9 NA
## 7 Arctic fox Vulpes 11.5 0.0445
## 8 Lion Panthera 10.5 NA
## 9 Tiger Panthera 8.2 NA
# Second, using a minus sign as in "arrange in order of _negative awake_"
carnivores %>%
arrange(-awake)
## # A tibble: 9 × 4
## name genus awake brainwt
## <chr> <fct> <dbl> <dbl>
## 1 Gray seal Haliochoerus 17.8 0.325
## 2 Northern fur seal Callorhinus 15.3 NA
## 3 Red fox Vulpes 14.2 0.0504
## 4 Dog Canis 13.9 0.07
## 5 Jaguar Panthera 13.6 0.157
## 6 Cheetah Acinonyx 11.9 NA
## 7 Arctic fox Vulpes 11.5 0.0445
## 8 Lion Panthera 10.5 NA
## 9 Tiger Panthera 8.2 NA