tutorials-blog

How to Run R Language in VS Code

31/08/2023: R is a popular programming language used by data scientists and statisticians for statistical analysis and visualisation. With its vast collection of packages and simple syntax, R makes data exploration easy and intuitive. JBI Trainings R language course is a perfect solution for training. Get in contact to find out how we can assist with your R Language Training. While RStudio is the go-to IDE for R development, using R in Visual Studio Code has several advantages. VS Code provides a lightweight yet powerful editor with built-in Git support, debugging, and integration with other languages...

How to Take Input in R Language

31/08/2023: R makes it easy to build interactive programs by accepting input from users. Whether it's a simple calculator app or a complex data analysis tool, taking input enables creating customizable R programs. These guides are part of our training programmes and courses as support material to JBI Trainings R language training This guide covers the main methods for accepting input in R. You'll learn how to: Use basic functions like scan(), readline(), and read.*() to get input Create interactive programs with menus, dialogs, and keyboard input Follow best practices for validating and handling...

Mastering Matrices in R Language: A Comprehensive Guide

11/04/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's training courses including R - Reporting & Dashboards with Shiny training course, R with RMarkdown and Quarto training course, and R for Life Science Researchers training course Introduction: Matrices are an essential data structure in R programming language that store data in a two-dimensional format, consisting of rows and columns. Matrices in R allow for mathematical operations, such as multiplication and addition, to be performed on the entire set of data stored in...

Microsoft R Language: Introduction and Overview

11/04/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's training courses including R - Reporting & Dashboards with Shiny training course, R with RMarkdown and Quarto training course, and R for Life Science Researchers training course Introduction: Microsoft R Language is a powerful and popular programming language for data analytics and data science. It is an open-source programming language that supports both functional and object-oriented programming paradigms. It provides a wide range of data analytics and machine learning...

How to Perform a Z Test in R Language: A Step-by-Step Guide

06/04/2023: Introduction: In statistics, a z-test is a hypothesis test that is used to determine whether two population means are significantly different from each other. A z-test is a type of parametric test that is used when certain assumptions about the population are met, such as when the sample size is large enough and the population standard deviation is known. In this how-to guide, we will walk you through the process of performing a z-test in R language. Step 1: Import Your Data The first step in performing a z-test in R is to import your data into R. This can be done using the read.csv()...

A Beginner's Guide to Using the quantile() Function in R Language

06/04/2023: Introduction: R is a powerful programming language used for data analysis and statistics. It has a wide range of functions and libraries to handle data manipulation, exploratory data analysis, and data visualization. One of the essential functions in R is quantile(), which is used to calculate various percentiles of a given data set. This function is widely used in data analysis, and it can help you understand your data distribution better. In this guide, we will discuss what the quantile() function is, how it works, and provide you with some code examples. Understanding the quantile()...

A Comprehensive Guide to Data Visualization with ggplot in R

06/04/2023: Introduction: Data visualization is an important aspect of data analysis and reporting. It enables us to better understand patterns, relationships, and trends in the data. R language provides various data visualization libraries, and one of the most popular and widely used ones is ggplot. It is a flexible and powerful data visualization library in R language that allows us to create complex and customized plots easily. In this guide, we will explore ggplot in detail and learn how to create stunning and informative data visualizations using ggplot. Section 1: Installing ggplot The first...

A Beginner's Guide to Writing and Running a "Hello World" Program in R

06/04/2023: Introduction: When learning a new programming language, one of the first things you'll likely do is write and run a "Hello World" program. This simple program outputs the text "Hello, World!" to the screen, and serves as a basic introduction to the syntax and structure of the language. In this guide, we'll walk through the steps to write and run a "Hello World" program in R, one of the most popular languages for data analysis and statistical computing. Step 1: Install R and RStudio Before we begin, you'll need to install R and RStudio on your computer. R is the programming language itself,...

Python or R ?

20/12/2018: Python or R in tomorrow’s world? Python and R are popular programming languages extensively used by data scientists today. But what about tomorrow – which one is going to be more useful for you in the future? The aim of this article is to help you answer that question. We’ll discuss the two languages, look at some of the differences between them, and analyse the trends in usage and popularity. The case for Python According to the 2018 IEEE Spectrum rankings, Python is the top programming language in 2018. It’s based on C, and is closely followed in the rankings by C++ (2nd), Java (3rd)...

Statistical data analysis training courses – should you choose R or Python?

Statistical data analysis - should you choose R or Python?

04/02/2018: As the volume of data held by your business continues to grow, your data science team will need a new set of tools to make sense of it. Although tools like Microsoft Power BI can help, in depth statistical analysis may require custom applications, developed and tailored to your needs. Typically this means training data scientists to use a programming language, the most popular of which are currently Python and R. Why choose R? First released publicly in 1995, R has been specifically designed for statistical computing and graphics. This focus on analytics makes R a popular choice for data...

What is Python data science and R programming for data science?

Python or R for Data Scientists

24/01/2018: Python and R are the two leading contenders for data scientists, with many statisticians running out to complete an R or Python data science course. However before investing in R training or in a Python training course, it is essential that you investigate which of these languages is best for your needs and for data analysis. What is so great about Python Data Science: Since its release in 1989, Python offers many benefits for data scientists such as object-oriented programming, and powerful integrated development environments (IDE’s). Furthermore, there is a significant Python community...

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