It is June and nearly half of the year is over, marking the middle between Christmas 2018 and 2019. Last year in autumn, I’ve published a blog post about predicting Wham’s „Last Christmas“ search volume using Google Trends data with different types of neural network architectures. Of course, now I ...

By Beth Milhollin, Russell Zaretzki, and Audris Mockus Coke vs. Pepsi is an age-old rivalry, but I am from Atlanta, so it’s Coke for me. Coca-Cola, to be exact. But I am relatively new to R, so when it comes to data.table vs. tidy, I am open to ...

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Basic Statistics Tags Data Management Linear Regression R Programming Tips & Tricks In this article you learn how to do calculus with R. Introdutcion to Calculus Calculus is a branch of mathematics that involves the ...

Introduction This post will show you how to write and read a list of data tables to and from Excel with purrr, the functional programming package ???? from tidyverse. In this example I will also use the packages readxl and writexl for reading and writing in Excel files, and cover methods ...

Calculating and visualising correlation coefficients with inspectdf (and why correlations matrices make life hard)

"should we use shinyApp() or runApp() when deploying to production?"Read More → The post shinyApp(), runApp(), shinyAppDir(), and a fourth option appeared first on (en) The R Task Force.

We are back with another post on the Indian Premier League. This is the fourth post in the series. We will assume that you have already read the previous article analyzing strike rates here. One change since the last article is that Cricsheet now has updated data available - so ...

Blackman-Tukey Spectral Estimator in R! There are two definitions of the power spectral density (PSD). Both definitions are mathematically nearly identical and define a function that describes the distribution of power over the frequency components in our data set. The periodogram PSD estimator is based on the first definition of ...

There is interest in converting relational query languages (that work both over SQL databases and on local data) into data.table commands, to take advantage of data.table‘s superior performance. Obviously if one wants to use data.table it is best to learn data.table. But if we want ...

Despite being on holiday I’m getting in a bit of non-work R coding since the fam has a greater ability to sleep late than I do. Apart from other things I’ve been working on a PR into {lutz}, a package by @andyteucher that turns lat/lng pairs into ...

I’m not saying this is a good idea, but bear with me. A recent question on Stack Overflow [r] asked why a random forest model was not working as expected. The questioner was working with data from an experiment in which yeast was grown under conditions where (a) the ...

In my last blog post, I have elaborated on the Bagging algorithm and showed its prediction performance via simulation. Here, I want to go into the details on how to simulate the bias and variance of a nonparametric regression fitting method using R. These kinds of questions arise here at ...