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R Data Manipulation Functions

Data manipulation in R is made easier with functions from packages like dplyr. Common functions include filter(), select(), mutate(), and arrange().

Key Topics

Filter Function

# Filtering data using dplyr
library(dplyr)
filtered_data <- filter(data, Age > 25)

print(filtered_data)

Note:

Use filter() to subset data based on conditions.

Select Function

# Selecting columns using dplyr
selected_data <- select(data, Name, Age)

print(selected_data)

Note:

Use select() to choose specific columns from your data.

Key Takeaways

  • Use filter() to subset data based on conditions.
  • Use select() to choose specific columns.
  • Data manipulation functions are essential for cleaning and preparing data.
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