Category: Methods

Creating Relative Frequency in R

Creating Relative Frequency in R, also known as frequency tables, are an essential tool in data analysis. They help us understand the distribution of data in a dataset by providing the number of occurrences...

Three-Way Tables in R

Three-Way Tables in R:- Three-way tables are essential tools in data analysis, allowing us to examine the relationship between three categorical variables. In R, creating three-way tables is a straightforward process, thanks to the...

Normal Probability Plot in R

Normal Probability Plot in R, also known as a Quantile-Quantile (Q-Q) Plot, is a valuable tool for visually assessing whether a given dataset follows a standard normal distribution. When the data aligns with a...

Difference between sort and order in R

Difference between sort and order in R, both “sort()” and “order()” functions are used to arrange data in ascending or descending order. Group By Minimum in R » Data Science Tutorials Syntax order(x, #...

Sort the column of dataframe in R

Sort the column of dataframe in R, sorting data is an essential operation that helps in organizing and analyzing data. R provides various functions to sort data based on one or more columns. In...

Select Unique Rows in a Data Frame in R

Select Unique Rows in a Data Frame in R, R is a popular programming language that is widely used for statistical computing and graphics. One of the most common tasks in data analysis is...

DBScan Clustering in R

DBScan Clustering in R, an unsupervised learning non-linear technique, is based on density-based clustering of applications with noise. Density reachability and density connectedness are concepts that are used. The information is divided into clusters,...

Working with XML Files in R

Working with XML Files in R, Extensible Markup Language, or XML, is composed of markup tags, each of which illustrates the data that an XML file’s specific property carries. With R’s XML package, we...

How to Create High Quality Tables in R

How to Create High Quality Tables in R, R’s stargazer package can be used to produce high-quality tables suitable for publishing. This example demonstrates how to use the mtcars built-in R dataset to get...

How to Perform Data Cleaning in R

How to Perform Data Cleaning in R, To perform data cleaning in R using the examples provided, you can follow these steps: 1. Remove rows with missing values: library(dplyr) df <- data.frame(team=c(‘A’, ‘A’, ‘B’,...