Getting Started with R and RStudio

This is a comprehensive guide on how to get started with R programming and RStudio. R is free, and incredibly powerful statistics and coding software. RStudio is an Integrated Development Environment, or IDE. Like R, it is free. Basically, if R is a typewriter, RStudio is a word processor. It makes life much easier; with RStudio you can edit code

How to Create A Neural Network Using R

How to Create A Neural Network Using R. Create and visualize a neural network that takes in a dataset and trains a model to predict outcomes.

Microbial Surveillance: How It Works & Why It’s Important

The analytical process of studying urban microbial data, an unexplored field brimming with opportunity

Python done the R (Markdown) way

Are you an R user flirting with the idea of doing Python? I wrote an article that may be of your interest! Starting to work with a new tool may not be easy, especially when that “tool” means a new programming language. At the same time, there might be an opportunity to build upon something already known and so make the transition smoother and less painful.

Visualizing Trends of Multivariate Data in R using ggplot2

Data visualization, the art of representing data through graphical elements, is an important part of any research or data analysis project.

Generating Poisson Distributions with Shiny Web Apps

Interactive probability analysis with Shiny Web Apps. A Poisson distribution allows us to visualise the probability of an event occurring within a given time interval.

Speech detection using Mel-Frequency(MFCC) in R Studio!

Speech detection using Mel-Frequency(MFCC) in R Studio! A practical guide to implementing speech detection with the help of MFCC ( Mel-frequency Cepstral Coefficient) feature extraction.

Interpreting Cox Proportional Hazards Model Using Colon Dataset in R

Interpreting Cox Proportional Hazards Model Using Colon Dataset in R: Cox proportional hazards model is used to determine significant predictors for outcomes that are time-to-event.

Using RStudio With An iPad

I love my iPad. It’s not exactly new: it’s a 12.9 inch model from three years ago. But even so, it’s light and convenient and fast enough not to be painful.

Beginner’s Guide to Enhancing Visualizations in R

Develop your visualization skills in R with this practical, step-by-step tutorial.

A Beginner’s Guide to Using Instrumental Variables

And when they just might be your superman [ R Code Included ]. As an undergraduate I studied economics, which meant I studied a lot of regressions.

Handling Class Imbalance Problem

What is the Class Imbalance Problem? Data are said to suffer the Class Imbalance Problem when the class distributions are highly imbalanced.

What Is RStudio Cloud And Why Is It Gaining Popularity

RStudio Cloud is a hosted version of the integrated development environment (IDE) for R, RStudio in the cloud.

Running R/RStudio in a GCP VM

Running large, computationally intensive R scripts is often a very slow process; how can we upgrade to a more powerful server, while keeping costs low?

Part 1 — Text Analysis and Data visualization with R

With “rwhatsapp” you will have what it takes to work with WhatsApp text data in R, to do text analysis and visualization of chat data.

Getting Started with R Markdown — Guide and Cheatsheet

Learn the fundamentals of R markdown in this in-depth tutorial, or simply use it as a quick reference guide and cheatsheet for R markdown formatting.In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!

R Notebook for dummies: save and share results easily

I have confessed my love for R in my previous posts, so I won’t repeat the same here. It is absolutely the best tool for performing statistical analysis of data.

“Data is the new science, Big data holds the answer”-

Every now and then, we always face and hear that R is sluggish with big data. Here we are talking about terabytes or petabytes .

Mapping Geospatial Data in R

I always wondered how people created beautiful geospatial visualizations in R. I would stare googly-eyed at the perfect gradients which could make a dashboard or presentation pop, wondering just how the hell people were doing this in the programming language I associated with p-values and regression lines.

Everything You Need to Know: R and/or R Studio

Following, I will discuss the various benefits and limitations of the R language.