## 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) Letâ€™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...

## Data Science applications in Retail

Applications of Data Science in Retail: Let’s use an example to better understand the applications of data science in the retail sector. Example of data science in retail Before any announcement was made, the...

## Best Data Science Algorithms

Best Data Science Algorithms, the explanation is far too simple for you to grasp. We will primarily discuss machine learning algorithms relevant to data scientists and categorize them into supervised and unsupervised roles. We’ll...

## Is It Difficult to Learn Data Science

Is It Difficult to Learn Data Science?, If you answered yes, you might be interested in learning whether data science is difficult to learn. So, if you read the entire blog, you will find...