Are you interested in guest posting? Publish at DataScience+ via your RStudio editor. Category Advanced Modeling Tags Data Management R Programming Text Mining In the present tutorial, I show an introductory text analysis of a ABC-news news headlines dataset. I will have a look to the most common words therein ...

An interesting challenge on The Riddler on the probability to see a random interval X’ing with all other random intervals when generating n intervals from Dirichlet D(1,1,1). As it happens the probability is always 2/3, whatever n__1, as shown by the R code below (where replicate cannot be replaced by ...

We have prepared a cheatsheet that summarizes NIMBLE’s functionality and syntax in a two-page format that follows the RStudio collection of cheatsheets. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Please see ...

Open up any linear algebra textbook and have a look at the matrix entries. Are there all integers? Are they all written as decimals? There's probably at least some that are fractions. Matrices in computer programs are almost always in decimal form. T...

Open up any linear algebra textbook and have a look at the matrix entries. Are there all integers? Are they all written as decimals? There's probably at least some that are fractions. Matrices in computer programs are almost always in decimal form. The exception is symbolic mathematics programs like Maple ...

I’ve seen a number of examples of MCMC algorithms, and while they’re all solid, a lot of them tend to be a bit too neat - they have a fairly simple model, a single predictor (maybe two), and not much else. This one is a good example, as ...

FiveThirtyEight’s Riddler Classic link After a long night of frivolous quackery, two delirious ducks are having a difficult time finding each other in their pond. The pond happens to contain a 3×3 grid of rocks. Every minute, each duck randomly swims, independently of the other duck, from one rock to ...

Introduction Functional programming is a programming paradigm where programs are constructed by applying and composing functions and it quite popular in the data science application because of some of its useful properties that can help for example...

By the end of this tutorial on forcats package for working with factors in R, you will be able to change the order of levels, inspect levels, change the values of levels, combine levels, and add/drop levels more efficiently.

Data Entry & Management General Principle: Be Consistent With Everything Setting Up a Principled Statistical Workflow Setting up the Project Folder Setting up the Functions Script Setting up the Error Catching Script Example of Data Loading...