Importance of decluttering the R environment

R is a versatile and powerful programming language that enables the user to perform various types of statistical and data analyses. Like with any other tool, R’s potential largely lies in the user’s knowledge of the extent of its capability. Having used R extensively over a period of time, we have some useful tips we think will benefit the beginner and the seasoned R user alike. Because R is open source, its adaptation has increased exponentially. Several users without any programming or computer science background have been able to benefit from it. Being a newcomer to programming and scripting languages myself, I have fallen prey to several programming and scripting fallacies. Over the course of time, thanks to a multitude of help from experienced colleagues, and to the sea of information readily available on the internet, I have been able to learn several programming etiquettes which I wish I knew sooner. Continue reading Decluttering R →

Introduction

The aim of this paper is to study the search behavior of users, based on their Google search query terms, and to find similarities between search behaviors of a pool of users. We want to identify the types of searches that are central to other searches. These searches would ideally lead to searches of other kinds, and it would be conducive to invest in Google ads for searches of this type. Continue reading Tracing Search Behavior using Social Network Analysis →

R has a vast array of useful and versatile functions that excel at statistical data analysis. These functions can come in quite handy for data wrangling as well, contrary to the public notion of R being un-suitable for manipulating data. This article demonstrates the use of the merge function through a case example in R. Continue reading A Tricky Merge Executed Simply in R →