Articles by Rsquared Academy Blog

Introducing nse2r

January 16, 2020 | Rsquared Academy Blog

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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Customer Segmentation using RFM Analysis

July 21, 2019 | Rsquared Academy Blog

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 | Rsquared Academy Blog

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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Demystifying Regular Expressions in R

May 26, 2019 | Rsquared Academy Blog

Introduction In this post, we will learn about using regular expressions in R. While it is aimed at absolute beginners, we hope experienced users will find it useful as well. The post is broadly divided into 3 sections. In the first section, we will introduce the pattern matching functions such as ...
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Practical Introduction to Web Scraping in R

April 10, 2019 | Rsquared Academy Blog

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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Visually explore Probability Distributions with vistributions

March 13, 2019 | Rsquared Academy Blog

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 using
vdist_launch_app()
or try the live version here. Read on to learn more about the features of vistributions, or see ...
[Read more...]

Binning Data with rbin

March 11, 2019 | Rsquared Academy Blog

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("devtools")
devtools::install_github("rsquaredacademy/rbin")
RStudio Addins rbin includes two RStudio addins for manually binning data. Below is a ...
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Getting Help in R

March 4, 2019 | Rsquared Academy Blog

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 | Rsquared Academy Blog

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 | Rsquared Academy Blog

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 using
ds_launch_shiny_app()
or try the live version here. Read on to learn more about the features of descriptr, or see ...
[Read more...]

RFM Analysis in R

February 11, 2019 | Rsquared Academy Blog

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
# install.packages("devtools")
devtools::install_github("rsquaredacademy/rfm")
Shiny App rfm includes a shiny app which can be launched using {{...
[Read more...]

Introducing olsrr

February 7, 2019 | Rsquared Academy Blog

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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SQL for Data Science – Part 2

January 1, 2019 | Rsquared Academy Blog

Introduction This is the fourth post in the series R & Databases. You can find the links to the other two posts of this series below: Quick Guide: R & SQLite Data Wrangling with dbplyr SQL for Data Science - Part 1 In this post, we will learn to aggregate data order data ... [Read more...]

SQL for Data Science – Part 1

December 20, 2018 | Rsquared Academy Blog

Introduction This is the third post in the series R & Databases. You can find the links to the other two posts of this series below: Quick Guide: R & SQLite Data Wrangling with dbplyr SQL for Data Science - Part 2 In this post, we will learn to: select single column multiple ... [Read more...]
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