# Category: Methods

## Summary statistics in R

Summary statistics in R, This tutorial will show you how to use the aggregate function in the R programming language. Definition: The aggregate R function computes summary statistics for a data set’s subgroups. R...

## How to add NA values into a factor level

How to add NA values into a factor level, This article describes how to use the addNA function in the R programming language to convert NA values into a new factor level. Let’s get...

## How to Put margins on tables or arrays in R

How to Put margins on tables or arrays in R, We’ll show you how to use the addmargins function in R to add margins to tables or arrays. The tutorial will include two examples...

## How to add straight lines to a plot in R

How to add straight lines to a plot in R, The R function abline adds straight lines to a plot. Basic R Syntax: The abline function’s basic R programming syntax is provided below. abline(h...

## How to Measure Execution Time in R

How to Measure Execution Time in R, To compare the execution times of different expressions, use R’s microbenchmark package. To do so, use the following syntax: library(microbenchmark) Let’s compare two different expressions’ execution times...

## How to Rename Files in R

How to Rename Files in R?, The methods listed below can be used to rename files in R: How to Rename Files in R The examples that follow demonstrate each technique in action. Rename...

## Test if two objects are nearly equal in R

Test if two objects are nearly equal in R, Learn how to use them all.equal function to determine whether two items are nearly equal in this R programming tutorial. This is how you do...

## Fundamentals of R Programming

Fundamentals of R programming, Here, we provide you with some programming in R multiple-choice problems and their corresponding answers. You can review R programming principles with the aid of this quiz. Are you prepared...

## How to Read Zip Files in R

How to Read Zip Files in R, The fundamental syntax to read a ZIP file into R is as follows: library(readr) Let’s import data1.csv located within my_data.zip df <- read_csv(unzip(“my_data.zip”, “data1.csv”)) The usage of...

## Reshape data in R

Reshape data in R, In general, data processing in R Programming Language is accomplished by reading data from a data frame that is organized into rows and columns. Data frames are commonly used because...