Highlights from the useR! 2018 conference in Brisbane

July 18, 2018
By

he fourteenth annual worldwide R user conference, useR!2018, was held last week in Brisbane, Australia and it was an outstanding success. The conference attracted around 600 users from around the world and — as the first held in the Southern hemisphere — brought many first-time conference-goers to useR!. (There were also a number of beginning R users as well,...

Read more »

Machine Learning Results in R: one plot to rule them all!

July 18, 2018
By
Machine Learning Results in R: one plot to rule them all!

To automate the process of modeling selection and evaluate the results with visualization, I have created some functions into my personal library and today I’m sharing the codes with you. I run them to evaluate and compare Machine Learning models as fast and easily as possible. Currently, they are designed to evaluate binary classification models Related PostSeaborn Categorical Plots...

Read more »

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

The goal is simple: to educate and empower future data scientists so they can help organizations gain data-driven results. This is why it was a no-brainer when the opportunity came up for Business Science to partner with Method Data Science, the go-to data science accelerator for aspiring data scientists. Now Method Data Scientists will get exclusive lectures from Business...

Read more »

Just use a scatterplot. Also, Sydney sprawls.

July 17, 2018
By
Just use a scatterplot. Also, Sydney sprawls.

Sydney’s congestion at ‘tipping point’ blares the headline and to illustrate, an interactive chart with bars for city population densities, points for commute times and of course, dual-axes. Yuck. OK, I guess it does show that Sydney is one of three cities that are low density, but have comparable average commute times to higher-density cities. … Continue reading Just...

Read more »

Monte Carlo Shiny: Part Three

July 17, 2018
By
Monte Carlo Shiny: Part Three

In previous posts, we covered how to run a Monte Carlo simulation and how to visualize the results. Today, we will wrap that work into a Shiny app wherein a user can build a custom portfolio, and then choose a number of simulations to run and a number of months to simulate into the future. A link to that final...

Read more »

Video: R for AI, and the Not Hotdog workshop

July 17, 2018
By
Video: R for AI, and the Not Hotdog workshop

Earlier this year at the QCon.ai conference, I gave a short presentation, "The Case for R, for AI developers". I also presented an interactive workshop, using R and the Microsoft Cognitive Services APIs, to automatically generate captions for images, and to create a tool to recognize images of hotdogs. Video from both the presentation, and the workshop (which starts...

Read more »

How to add Trend Lines to Visualizations in Displayr

July 17, 2018
By
How to add Trend Lines to Visualizations in Displayr

In Displayr, Visualizations of chart type Column, Bar, Area, Line and Scatter all support trend lines.  Trend lines can be  linear or non-parametric (cubic spline,...

Read more »

Clean Your Data in Seconds with This R Function

July 17, 2018
By

All data needs to be clean before you can explore and create models. Common sense, right. Cleaning data can be tedious but I created a function that will help. The function do the following: Clean Data from NA’s and Blanks Separate the clean data – Integer dataframe, Double dataframe, Factor dataframe, Numeric dataframe, and Factor Related PostHands-on Tutorial on...

Read more »

Deploying R models in SQL server

July 17, 2018
By
Deploying R models in SQL server

As an R user who is building models and analysing data, one of the key challenges is how to make those results available to those who need it. After all, data science is about making better decisions, and your results need to get into the hands of the people who make those decisions. For reporting, there are many options from...

Read more »

pinp 0.0.6: Two new options

July 17, 2018
By
pinp 0.0.6: Two new options

A small feature release of our pinp package for snazzier one or two column vignettes get onto CRAN a little earlier. It offers two new options. Saghir Bashir addressed a longer-standing help needed! issue and contributed code to select papersize opti...

Read more »

10 Jobs for R users from around the world (2018-07-17)

July 17, 2018
By
10 Jobs for R users from around the world (2018-07-17)

To post your R job on the next post Just visit  this link and post a new R job  to the R community. You can post a job for  free  (and there are also “featured job” options available for extra exposure). Current R jobs Job seekers:  please follow the links below to learn more and apply for your R job of interest: Featured Jobs...

Read more »

Using leaflet, just because

July 17, 2018
By
Using leaflet, just because

I love it when researchers take the time to share their knowledge of the computational tools that they use. So first, let me point you at Environmental Computing, a site run by environmental scientists at the University of New South Wales, which has a good selection of R programming tutorials. One of these is Making … Continue reading Using...

Read more »

What’s inside? pkginspector provides helpful tools for inspecting package contents

What’s inside? pkginspector provides helpful tools for inspecting package contents

R packages are widely used in science, yet the code behind them often does not come under scrutiny. To address this lack, rOpenSci has been a pioneer in developing a peer review process for R packages. The goal of pkginspector is to help that process by providing a means to better understand the internal structure of R packages. It...

Read more »

A quick #WorldEmojiDay exploration

July 16, 2018
By

Let’s celebrate #WorldEmojiDay with a quick exploration of my own twitter account. The 📦 We’ll need: From Github {emo} remote::install_github("hadley/emo") From CRAN {dplyr} {tidyr} {rtweet} {tidytext} Note: This page has been created at: Sys.time() ## "2018-07-17 17:22:29 CEST" The 🔍 Let’s get my last 3200 tweets: library(emo) library(rtweet) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects...

Read more »

Recreating (more) data visualizations from the book “Knowledge is Beautiful”: Part IV

July 16, 2018
By
Recreating (more) data visualizations from the book “Knowledge is Beautiful”: Part IV

Welcome to the last part of the series where I recreate data visualizations in R from the book Knowledge is Beautiful by David McCandless.Links to part I, II, III of the series can be found here.Plane CrashesThis dataset will be used for a couple of visualizations.The first visualization is a stacked-barplot showing causes of crashes for every plane crash from...

Read more »

Hamiltonian tails

July 16, 2018
By
Hamiltonian tails

“We demonstrate HMC’s sensitivity to these parameters by sampling from a bivariate Gaussian with correlation coefficient 0.99. We consider three settings (ε,L) = {(0.16; 40); (0.16; 50); (0.15; 50)}” Ziyu Wang, Shakir Mohamed, and Nando De Freitas. 2013 In an experiment with my PhD student Changye Wu (who wrote all R codes used below), we

Read more »

Continuous deployment of package documentation with pkgdown and Travis CI

July 16, 2018
By
Continuous deployment of package documentation with pkgdown and Travis CI

The problem pkgdown is an R package that can create a beautifully looking website for your own R package. Built and maintained by Hadley Wickham and his gang of prolific contributors, this package can parse the documentation files and vignettes for yo...

Read more »

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

I’m pleased to announce that we released brand new content for our flagship course, Data Science For Business (DS4B 201). The latest content is focused on transitioning from modeling Employee Churn with H2O and LIME to evaluating our binary classification model using Return-On-Investment (ROI), thus delivering business value. We do this through application of a special tool called the...

Read more »

Twitter coverage of the useR! 2018 conference

July 16, 2018
By
Twitter coverage of the useR! 2018 conference

In summary: useR! the conference for users of R was held in Brisbane earlier this month it sounded like a lot of fun and here’s an analysis of tweets that used the #useR2018 hashtag during the week The code that generated the report (which I’ve used heavily and written about before) is at Github too. … Continue reading Twitter...

Read more »

Smoothing Time Series Data

July 15, 2018
By
Smoothing Time Series Data

These include both global methods, which involve fitting a regression over the whole time series; and more flexible local methods, where we relax the constraint...

Read more »

Get on your soapbox! R blog content and promotion

This year I had the chance to speak at two R-Ladies meetups (I might have invited myself to those meetups to make the most of being in town, create your own happiness!), one in Cape Town in March, one in Seattle in May. It was a blast both times! I gave the same talk twice, and decided it was...

Read more »

Customizing styler – the quick way

July 15, 2018
By

I am currently experiencing problems with getting my posts in full length on r-bloggers. You can continue here with reading in case only the first paragraph is rendered. One cool thing that happens if you work resonates in the community is that you see other people using it. In this blog post I am going to address a typical question people have when they...

Read more »

Sleek & Shiny

July 15, 2018
By
Sleek & Shiny

I was trying to find an apt image to accompany this post, but googling “sleek and shiny” mostly brought up images of women with ridiculously, well, sleek and shiny hair (and magical products to achieve just that), which has nothing to do with what I want to talk about here (not that this has ever stopped me including pics...

Read more »

RcppClassic 0.9.11

July 15, 2018
By

A new maintenance release, now at version 0.9.11, of the RcppClassic package arrived earlier today on CRAN. This package provides a maintained version of the otherwise deprecated initial Rcpp API which no new projects should use as the normal Rcpp AP...

Read more »

Six Sigma DMAIC Series in R – Part 3

July 15, 2018
By
Six Sigma DMAIC Series in R – Part 3

Hope you liked the Part 1 and Part 2 of this Series. In this Part 3, we will go through the tools used during the analyze phase of Six Sigma DMAIC cycle. In this phase, available data is used to identify the key process inputs and their relation to the output. We will go through Related PostPrediction Interval, the...

Read more »

A thought experiment: How CRAN saved 3,620 (working) lives

July 15, 2018
By

Given the vast amount of R packages available today, it makes sense (at least to me, as a trained economist) to ask a simple yet difficult question: How much value has been created by all those packages? As all R stuff on CRAN is open-source (...

Read more »

Mango at Insurance Data Science Conference

July 15, 2018
By

Ruth Thomson, Strategic Innovation & Strategic Advice On Monday, I am very much looking forward to joining the panel discussion at the Insurance Data Science Conference at the Cass Business School alongside Kristen Dardia from Verisk Analytics and Hadrien Dykiel from R Studio. If you’re reading this on the 16th July, and currently at the conference after seeing me make...

Read more »

Alleviating AWS Athena Aggravation with Asynchronous Assistance

July 14, 2018
By

I’ve blogged about how to use Amazon Athena with R before and if you are a regular Athena user, you’ve likely run into a situation where you prepare a dplyr chain, fire off a collect() and then wait. And, wait. And, wait. And, wait. Queries that take significant processing time or have large result sets... Continue reading →

Read more »

[Web2Day] Producing web content with R

July 13, 2018
By
[Web2Day] Producing web content with R

Earlier this week, my talk at the Web2Day conference was put online. Here is an english summary for those who don’t understand french :) Disclaimer: this talk has been given during a conference about web technologies. In other word,in front of a crowd that has never / hardly heard about R before. If you’re already familiar with R, Rmarkdown,...

Read more »

Search R-bloggers


Sponsors

Mango solutions





mckinsey.com global hackathon

Zero Inflated Models and Generalized Linear Mixed Models with R



datasciencego.com

Quantide: statistical consulting and training

ODSC2 west

ODSC1_london

datasociety

http://www.eoda.de

max kuhn









Six Sigma Online Training



mljar.com

computationalanalytics.com

Our ads respect your privacy. Read our Privacy Policy page to learn more.

Contact us if you wish to help support R-bloggers, and place your banner here.