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R Data-science

38 posts

Convert Tibble to Data Frame in R

Last Updated: 24 April 2025

Tibbles are a type of data frame in R Programming Language that has an enhanced print method, making it easier to display data. However, in some situations, we may need to...read more

Merge Time Series in R

Last Updated: 05 November 2021

In this article, we will discuss how to merge time series in the R Programming language.Time Series in R is used to analyze the behaviors of an object over a period of tim...read more

Remove Outliers from Data Set in R

Last Updated: 14 September 2021

In this article, we will be looking at the approach to remove the Outliers from the data set using the in-built functions in the R programming language.Outliers are data p...read more

Type II Error in Hypothesis Testing with R Programming

Last Updated: 24 June 2021

In this article, we will see what is Error in Hypothesis Testing, different types of errors that occur in hypothesis testing, and how to calculate them. The hypothesis is ...read more

How to Perform Hierarchical Cluster Analysis using R Programming?

Last Updated: 21 June 2022

Cluster analysis or clustering is a technique to find subgroups of data points within a data set. The data points belonging to the same subgroup have similar features or p...read more

R Machine-Learning

Feature Engineering in R Programming

Last Updated: 23 May 2024

Feature engineering is the process of transforming raw data into features that can be used in a machine-learning model. In R programming, feature engineering can be done u...read more

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Machine Learning

R Machine-Learning

AB Testing With R Programming

Last Updated: 23 October 2020

Split testing is another name of A/B testing and it's a common or general methodology. It's used online when one wants to test a new feature or a product. The main agenda ...read more

Stratified Boxplot in R Programming

Last Updated: 23 May 2024

A boxplot is a graphical representation of groups of numerical data through their quartiles. Box plots are non-parametric that they display variation in samples of a stati...read more

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Adjusted Coefficient of Determination in R Programming

Last Updated: 11 October 2020

Prerequisite: Multiple Linear Regression using RA well-fitting regression model produces predicted values close to the observed data values. The mean model, which uses the...read more

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R Machine-Learning

Accessing REST API using R Programming

Last Updated: 28 December 2021

REST(Representational state transfer) API is an architectural style that includes specific constraints for building APIs to ensure that they are consistent, efficient, and...read more

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Building REST API using R Programming

Last Updated: 12 October 2020

REST(Representational state transfer) API is an architectural style that includes specific constraints for building APIs to ensure that they are consistent, efficient, and...read more

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Apriori Algorithm in R Programming

Last Updated: 20 August 2021

Apriori algorithm is used for finding frequent itemsets in a dataset for association rule mining. It is called Apriori because it uses prior knowledge of frequent itemset ...read more

R Machine-Learning

Mann Whitney U Test in R Programming

Last Updated: 28 December 2021

A popular nonparametric(distribution-free) test to compare outcomes between two independent groups is the Mann Whitney U test. When comparing two independent samples, when...read more

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R Machine-Learning

K-fold Cross Validation in R Programming

Last Updated: 28 December 2021

The prime aim of any machine learning model is to predict the outcome of real-time data. To check whether the developed model is efficient enough to predict the outcome of...read more

R Machine-Learning

Repeated K-fold Cross Validation in R Programming

Last Updated: 15 November 2021

Repeated K-fold is the most preferred cross-validation technique for both classification and regression machine learning models. Shuffling and random sampling of the data ...read more

R Machine-Learning