This is the second part of the series on Instrumental Variables. For other parts of the series follow the tag instrumental variables. In this exercise set we will build on the example from part-1. We will now consider an over-identified case i.e. we have multiple IVs for an endogenous variable. We will also look at […]
Exercises
Manipulate Biological Data Using Biostrings Package Exercises (Part 1)
Bioinformatics is an amalgamation Biology and Computer science.Biological Data is manipulated using Computers and Computer software’s in Bioinformatics. Biological Data includes DNA; RNA & Protiens. DNA & RNA is made of Nucleotides which are our genetic material in which we are coded.Our Structure and Functions are done by protein, which are build of Amino acids […]
Shiny Applications Layouts Exercises (Part-9)
Shiny Application Layouts – Update Input In the ninth part of our series we will see the updated input scenario. This is different from the Dynamic UI example we met in part 8, where the UI component is generated on the server and sent to the UI, where it replaces an existing UI component. This […]
A Primer in Functional Programming in R Exercises (Part – 1)
In the exercises below we cover the basics of functional programming in R( part 1 of a two series exercises on functional programming) . We consider recursion with R , apply family of functions , higher order functions such as Map ,Reduce,Filter in R . Answers to the exercises are available here. If you obtained […]
Character Functions (Advanced)
This set of exercises will help you to help you improve your skills with character functions in R. Most of the exercises are related with text mining, a statistical technique that analyses text using statistics. If you find them interesting I would suggest checking the library tm, this includes functions designed for this task. There […]
Introduction to copulas Exercises (Part-2)
Copulas are a powerful statistical tool commonly used in the finance sector to generate samples from a given multivariate joint distribution. The principal advantage of using those types of function over other methods is that copulas describe the multivariate joint distribution as his margin and the dependence structure between them, which give the user the […]
Instrumental Variables in R exercises (Part-1)
One of the most frequently encountered issues in econometrics is endogeneity. Consider the simple Ordinary Least Squares (OLS) regression setting in which we model wages as a function of years of schooling (education): One of the main assumption of OLS is that the independent variables are not correlated with the error term. However, this is […]
Call Center Productivity Boosting with ML Exercises
The telephone had rung when Jean was watching her favorite TV Show. It was a call center selling newspaper, so she got really upset. This situation is not unpleasant just for Jean. The call center is losing too! By calling a person the will never buy whatever is been sold, the call center is wasting […]
Shiny Application Layouts Exercises (Part-8)
Shiny Application Layouts – Dynamic UI In the eightth part of our series we will see how we can build a user interface with dynamically generated components. The UI components are generated on the server side with the use of renderUI() and are displayed with uiOutput() on the ui side. Every time a new command […]
Shiny Application Layouts Exercises (Part-7)
Shiny Application Layouts – Conditional Panel In the seventh part of our series we will use the rnorm() function to create a UI with a Conditional Panel. This type of Panel is visible only when the value of a JavaScript expression is true. The JS expression is re-evaluated every time shiny runs with a different […]
