Category Archives: R

Writing Julia functions in R with examples

By Gabriel Vasconcelos The Julia programming language is growing fast and its efficiency and speed is now well-known. Even-though I think R is the best language for Data Science, sometimes we just need more. Modelling is an important part of … Continue reading

Posted in R | Tagged , , , , | 8 Comments

Uber assignment with lpSolve

By Yuri Fonseca In this post we are going to make an Uber assignment simulation and calculate some metrics of waiting time through simulation.

Posted in R | Tagged , , , , , , | 3 Comments

How Random Forests improve simple Regression Trees?

By Gabriel Vasconcelos Regression Trees In this post I am going to discuss some features of Regression Trees an Random Forests. Regression Trees are know to be very unstable, in other words, a small change in your data may drastically … Continue reading

Posted in R | Tagged , , , , , , | 5 Comments

R Course in Rio de Janeiro

R Course in Rio de Janeiro We are preparing an R for Data-Science course (direct link here) in partnership with the IBPAD (Brazilian Institute of Research and Data Analysis). It is a great course for those who want to have … Continue reading

Posted in R | Tagged , , , , , , | 4 Comments

Combining and comparing models using Model Confidence Set

By Gabriel Vasconcelos In many cases, especially if you are dealing with forecasting models, it is natural to use a large set of models to forecast the same variable and then select the best model using some error measure. For … Continue reading

Posted in R | Tagged , , , , , | 3 Comments

Pricing Optimization: How to find the price that maximizes your profit

By Yuri Fonseca Basic idea In this post we will discuss briefly about pricing optimization. The main idea behind this problem is the following question: As manager of a company/store, how much should I charge in order to maximize my … Continue reading

Posted in R | Tagged , , , , , | 5 Comments

Treating your data: The old school vs tidyverse modern tools

By Gabriel Vasconcelos When I first started using R there was no such thing as the tidyverse. Although some of the tidyverse packages were available independently, I learned to treat my data mostly using brute force combining pieces of information … Continue reading

Posted in R | Tagged , , , , , | 15 Comments