Reflections on the 10th anniversary of the Revolutions blog
On December 9 2008, very nearly ten years ago, the first post on Revolutions was published. Way back then, this blog was part of a young startup called Revolution Computing, … Read more
R
5½ Reasons to Ditch Spreadsheets for Data Science: Code is Poetry
The post 5½ Reasons to Ditch Spreadsheets for Data Science: Code is Poetry appeared first on The Lucid Manager. When I studied civil engineering some decades ago, we solved all … Read more
The ‘knight on an infinite chessboard’ puzzle: efficient simulation in R
Previously in this series: I’ve recently been enjoying The Riddler: Fantastic Puzzles from FiveThirtyEight, a wonderful book from 538’s Oliver Roeder. Many of the probability puzzles can be productively solved … Read more
Great post Yash!
Great post Yash! For those readers interested in getting data from the fitbit API using R I’ve documented the process here: https://towardsdatascience.com/the-gamification-of-fitbit-how-an-api-provided-the-next-level-of-training-eaf7b267af00 Related R-bloggers.com offers daily e-mail updates about R … Read more
ggmap Tutorial Updated!
Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address … Read more
Day 10 – little helper %nin%
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive … Read more
The Need for Speed Part 1: Building an R Package with Fortran (or C)
Everyone who has ever used R has, at one time or another, wished for an increase in R’s speed. If you haven’t, you’re not using R hard enough! Recently, as … Read more
An 8-hour course on R and Data Mining
I will run an 8-hour course on R and Data Mining at Black Mountain, CSIRO, Australia on 10 & 13 December 2018. The course materials, incl. slides, R scripts and … Read more
CRAN Release of R/exams 2.3-2
New minor release of the R/exams package to CRAN, containing a range of smaller improvements and bug fixes. Notably scanning of written NOPS exams is enhanced and made more reliable … Read more
Interesting packages taken from R/Pharma
A few month ago I joined the R/Pharma conference in Cambridge, MA. As a take away I thought of my project and how I can improve, with solutions others provided. … Read more
Canada Map
I taught my Data Visualization seminar in Philadelphia this past Friday and Saturday. It covers most of the content of my book, including a unit on making maps. The examples … Read more
Smartly select and mutate data frame columns, using dict
Motivation The dplyr functions select and mutate nowadays are commonly applied to perform data.frame column operations, frequently combined with magrittrs forward %>% pipe. While working well interactively, however, these methods … Read more
Day 09 – little helper object_size_in_env
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive … Read more
It was twenty years ago …
… this week that I made a first cameo in the debian/changelog for the Debian R package: r-base (0.63.1-1) unstable; urgency=low New upstream release Linked html directory to /usr/doc/r-base/doc/html (Dirk … Read more
Timing Grouped Mean Calculation in R
This note is a comment on some of the timings shared in the dplyr-0.8.0 pre-release announcement. The original published timings were as follows: With performance metrics: measurements are marketing. So … Read more
Automated Dashboard visualizations with distribution in R
Categories Programming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard visualizations with distribution in R. First you need to install the … Read more
R:case4base – Sorting data with base R
In this post in the R:case4base series we will examine sorting (ordering) data in base R. We will learn to sort our data based on one or multiple columns, with … Read more
R some blog 2018-12-08 04:19:00
Motivation The dplyr functions select and mutate nowadays are commonly applied to perform data.frame column operations, frequently combined with magrittrs forward %>% pipe. While working well interactively, however, these methods … Read more
Day 08 – little helper intersect2
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive … Read more
“Increase sample size until statistical significance is reached” is not a valid adaptive trial design; but it’s fixable.
TLDR: Begin with N of 10, increase by 10 until p < 0.05 or max N reached. This design has inflated type-I error. Lower p-value threshold needed to ensure specified … Read more
Automated Dashboard Visualizations with Ranking in R
Categories Programming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard Visualizations with Ranking in R. First you need to install the … Read more
Shinyfit: Advanced regression modelling in a shiny app
Many of our projects involve getting doctors, nurses, and medical students to collect data on the patients they are looking after. We want to involve many of them in data … Read more
R community update: announcing useR Delhi December meetup and CFP
Time really does fly. It’s been 5 months since Delhi NCR useR group had come into being and our first meetup. It was a successful event which included sessions featuring … Read more
Map the solar system to a place near you –A NatGeo’s MARS inspired Shiny web app
Nov 27, 2018 I recently leveled up to fatherhood. That’s why I am currently on 5 months of parental leave (thank’s to the awesome team @store2be for going along with … Read more
R Functions for Bayesian Stats and Summaries
A new update of my sjstats-package just arrived at CRAN. This blog post demontrates those functions of the sjstats-package that deal especially with Bayesian models. The update contains some new and some revised functions to compute summary statistics of Bayesian models, which are now described in more detail.
TDAStats – An R Pipeline for Topological Data Analysis
TDAstats is an R pipeline for topological data analysis, specifically, the use of persistent homology in Vietoris-Rips simiplicial complexes to study the shape of data.
R vs Python: Image Classification with Keras
Many data professionals are strict on the language to be used for ANN models limiting their dev. environment exclusively to Python. I decided to test performance of Python vs. R … Read more
Automatic GPUs
A reproducible R / Python approach to getting up and running quickly on GCloud with GPUs in Tensorflow “A high view of a sea of clouds covering a mountain valley … Read more