Articles by Rsquared Academy Blog - Explore Discover Learn

A Comprehensive Introduction to Handling Date & Time in R

April 16, 2020 | 0 Comments

In this tutorial, we will learn to handle date & time in R. We will start off by learning how to get current date & time before moving on to understand how R handles date/time internally and the different classes such as Date & POSIXct/lt. We will spend some time exploring ...
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Introducing nse2r

January 16, 2020 | 0 Comments

We are excited to announce the nse2r package. NSE (National Stock Exchange) is the leading stock exchange of India, located in the city of Mumbai. While users can manually download data from NSE through a browser, importing this data into R becomes cumbersome. The nse2r R package implements ...
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A Comprehensive Introduction to Command Line for R Users

October 25, 2019 | 0 Comments

In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a wide range of audience. We have created a RStudio Cloud Project to ensure that all readers are using the same environment while going ...
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A Comprehensive Introduction to Working with Databases using R

August 7, 2019 | 0 Comments

Introduction In a previous post, we had briefly looked at connecting to databases from R and using dplyr for querying data. In this new expanded post, we will focus on the following: connect to & explore database read & write data use RStudio SQL script & knitr SQL engine query data using dplyr ...
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Customer Segmentation using RFM Analysis

July 21, 2019 | 0 Comments

Introduction In a previous post, we had introduced our R package rfm but did not go into the conceptual details of RFM analysis. In this post, we will explore RFM in much more depth and work through a case study as well. RFM (Recency, Frequency & Monetary) analysis is a behavior ...
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pkginfo: Tools for Retrieving R Package Information

July 4, 2019 | 0 Comments

Motivation There are several wonderful tools for retrieving information about R packages, some of which are listed below: cranlogs, dlstats and packageRank for R package download stats pkgsearch and packagefinder for searching CRAN R packages crandb provides API for programatically accessing meta-data cchecks for CRAN check results We have used ...
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A follow up note on our web scraping tutorial

April 12, 2019 | 0 Comments

We had published a web scraping tutorial a couple of days back and it had received a good response from the #rstats community. While we thank you for that, we made a mistake in choosing one of the case study as pointed out by @hrbrmstr in this tweet: Whomever runs "... [Read more...]

Practical Introduction to Web Scraping in R

April 10, 2019 | 0 Comments

Introduction Are you trying to compare price of products across websites? Are you trying to monitor price changes every hour? Or planning to do some text mining or sentiment analysis on reviews of products or services? If yes, how would you do that? How do you get the details available ...
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Shiny Apps for Interactive Data Analysis

March 31, 2019 | 0 Comments

We are excited and happy to share a set of shiny apps built for interactive data analysis and teaching at Rsquared Academy. The apps are part of our R packages and presently cover the following topics: Descriptive Statistics Probability Distributions...
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Visually explore Probability Distributions with vistributions

March 13, 2019 | 0 Comments

We are happy to introduce the vistributions package, a set of tools for visually exploring probability distributions. Installation # Install release version from CRAN install.packages("vistributions") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/vistributions") Shiny App vistributions includes a shiny app which can be launched ...
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Binning Data with rbin

March 11, 2019 | 0 Comments

We are happy to introduce the rbin package, a set of tools for binning/discretization of data, designed keeping in mind beginner/intermediate R users. It comes with two RStudio addins for interactive binning. Installation # Install release version from CRAN install.packages("rbin") # Install development version from GitHub # install.packages("...
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Getting Help in R

March 4, 2019 | 0 Comments

Introduction In this post, we will learn about the different methods of getting help in R. Often, we get stuck while doing some analysis as either we do not know the correct function to use or its syntax. It is important for anyone who is new to R to know ...
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Logistic regression in R using blorr package

February 25, 2019 | 0 Comments

We are pleased to introduce the blorr package, a set of tools for building and validating binary logistic regression models in R, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures bivariate analysis, model fit statistics and model validation tools various plots ...
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Descriptive/Summary Statistics with descriptr

February 19, 2019 | 0 Comments

We are pleased to introduce the descriptr package, a set of tools for generating descriptive/summary statistics. Installation # Install release version from CRAN install.packages("descriptr") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/descriptr") Shiny App descriptr includes a shiny app which can be launched ...
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RFM Analysis in R

February 11, 2019 | 0 Comments

We are pleased to announce the rfm package, a set of tools for recency, frequency and monetary value analysis, designed keeping in mind beginner/intermediate R users. It can handle: transaction level data customer level data Installation # Install release version from CRAN install.packages("rfm") # Install development version from GitHub # ...
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Introducing olsrr

February 7, 2019 | 0 Comments

I am pleased to announce the olsrr package, a set of tools for improved output from linear regression models, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures heteroskedasticiy, collinearity diagnostics and measures of influence various plots and underlying data If you ...
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ggplot2: Box Plots

January 6, 2018 | 0 Comments

Introduction This is the 9th post in the series Elegant Data Visualization with ggplot2. In the previous post, we learnt how to build bar charts. In this post, we will learn to: build box plots modify box color fill alpha line size line type modify outlier color shape size alpha ...
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