Calculate Rank of the Values of a Vector in R Programming - rank() Function

Replace values of a Factor in R Programming - recode_factor() Function

Last Updated : 01 Jun, 2020

Factors in R programming are kind of data structures that stores categorical data i.e., levels and can have any type of data (integer, string, etc). recode_factor() function in R Language is used to replace certain values in a factor. To use recode_factor() function, dplyr package is required.

Syntax: recode_factor(x, ..., .ordered = TRUE) Parameters: x: represents factor object of a vector ... :represents replacements .ordered: creates an ordered factor if TRUE.

Example 1:

Python3

# Required for recode_factor() function
install.packages("dplyr")

# Loading package
library(dplyr)

# Create factor object
f <- as.factor(c("a", "b", "c"))

# Print factor object
cat("Before replacement:\n")
print(f)

# Replacing single value
cat("After replacement:\n")
print(recode_factor(f, "a" = "x"))

Output:

Before replacement:
[1] a b c
Levels: a b c

After replacement:
[1] x b c
Levels: x b c

Example 2:

Python3

# Required for recode_factor() function
install.packages("dplyr")

# Loading package
library(dplyr)

# Create factor object
f <- as.factor(c("a", "b", "c"))

# Print factor object
cat("Before replacement:\n")
print(f)

# Replacing multiple values
cat("After replacement:\n")
print(recode_factor(f, "a" = "x", "b" = "y"))

Output:

Before replacement:
[1] a b c
Levels: a b c

After replacement:
[1] x y c
Levels: x y c

Calculate Rank of the Values of a Vector in R Programming - rank() Function

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