March 2018

Exercise dashboard

March 4, 2018 | Nathan

I posted a while back about using joy plots for heart rate data. Over the past couple of months, I grew tired of opening RStudio every time I wanted to look through my fitness tracker data. I decided to create a shiny dashboard that I can load via web browser. ... [Read more...]

R Tip: Get Out of the Habit of Calling View() Directly

March 4, 2018 | John Mount

R tip: get out of the habit of calling View() directly. View() only works correctly in interactive environments, not currently in RMarkdown contexts. It is better to call something else that safely dispatches to View(), or to something else depending if you are in an interactive or non-interactive session. The ... [Read more...]

Analyzing NBA Player Data II: Clustering Players

March 3, 2018 | schochastics

This is the second post of my little series Analyzing NBA player data. The first part was concerned with scraping and cleaning player statistics from any NBA season. This post is dealing with gaining some inside in the player stats. In particular, clustering players according to their stats to produce ... [Read more...]

No strings attached

March 3, 2018 | HighlandR

a faceting function with bare variable names in ggplot2 - I’m working on a package of dplyr and ggplot2 functions that I can use on a day to day basis to plot data over time. I’ve done some basic experimenting with my preferred ggplot2 th...
[Read more...]

hrbrpkgs: list Bob Rudis’ packages

March 3, 2018 | Maëlle Salmon

Recently I needed to count lines of code for a project at work work (this is an expression of the person honored in this post), and happened to discover that Bob Rudis had started an R package wrapping the Perl CLOC script. Of course! He has packages for a lot ... [Read more...]

Speaking on New Tools for R at Big Data Scale

March 3, 2018 | John Mount

I would like to thank LinkedIn for letting me speak with some of their data scientists and analysts. John Mount discussing rquery SQL generation at LinkedIn. If you have a group using R at database or Spark scale, please reach out ( jmount at win-vector.com ). We (Win-Vector LLC) have some ...
[Read more...]

simmer 3.7.0

March 3, 2018 | Iñaki Úcar

The 3.7.0 release of simmer, the Discrete-Event Simulator for R, is on CRAN. It includes several API improvements and bug fixes. Among the former, the new timeout_from_attribute() activity makes it easier and more efficient the common task of placing a timeout based on a previously set attribute. Another common ... [Read more...]

Generating codebooks in R

March 2, 2018 | R blog posts on sandsynligvis.dk

A codebook is a technical document that provides an overview of and information about the variables in a dataset. The codebook ensures that the statistician has the complete background information necessary to undertake the analysis, and a codebook documents the data to make sure that the data is well understood ...
[Read more...]

Analyzing NBA Player Data I: Getting Data

March 2, 2018 | schochastics

As a football (soccer) data enthusiast, I have always been jealous of the amount of available data for American sports. While much of the interesting football data is proprietary, you can can get virtually anything of interest for the NBA, MLB, NFL or NHL. I have decided to move away ... [Read more...]

Generating codebooks in R

March 2, 2018 | R blog posts on sandsynligvis.dk

A codebook is a technical document that provides an overview of and information about the variables in a dataset. The codebook ensures that the statistician has the complete background information necessary to undertake the analysis, and a codebook documents the data to make sure that the data is well understood ... [Read more...]
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