What are some common data manipulation functions in R?

In R, there are several common data manipulation functions that are frequently used by data analysts and programmers. These functions include dplyr functions such as filter(), select(), mutate(), summarise(), and arrange(), which allow users to subset, create new variables, and summarize data in a streamlined way. Other common functions include merge(), which allows users to combine datasets based on a common variable, and aggregate(), which enables users to summarize data at different levels. These functions are essential for data cleaning, transformation, and analysis in R.
This mind map was published on 15 May 2024 and has been viewed 62 times.

You May Also Like

Features of beautiful Middle Eastern faces?

Cryptographic Keys

What factors affect land suitability analysis?

Are there any limitations or uncertainties in the reliability of traditional agroecologic zones?

How to write and execute code in R programming?

What are some common functions used in R programming?

What are the basic data types in R?

How can I create vectors in R?

What are the basic arithmetic operations in R?

How can I create plots and visuals in R?

How to pass arguments to a function in R?

What are inferential statistics in R programming?