Riddler: Can You Solve This Rather Pedestrian Puzzle?

May 17, 2020
By
Riddler: Can You Solve This Rather Pedestrian Puzzle?

FiveThirtyEight’s Riddler Express link Riddler City is a large circular metropolis, with countless square city blocks that each have a side length of 1 km. A small section of the city, composed of 36 blocks, is shown in the diagram below: At the very center of the city lies Riddler City Hall. Its many employees all walk to and from work, and their homes are...

Read more »

#TidyTuesday – Building Stalk Portfolios with R

#TidyTuesday – Building Stalk Portfolios with R

Every Tuesday, the R4DataScience community posts a dataset online as part of #TidyTuesday as practice wrangling and modelling data. For the week of 5th May 2020, the dataset concerned the video game Animal Crossing. Intro Radiohead - How I Made My Millions I don’t play Animal Crossing (unfortunately Nintendo Switches sold out as the UK went into lockdown), but it seems that...

Read more »

easyalluvial 0.2.3 released

May 16, 2020
By
easyalluvial 0.2.3 released

easyalluvial allows you to build exploratory and interactive alluvial plots (sankey diagrams) with a single line of code while automatically binning numerical variables. This release 0.2.3 ensures dplyr 1.0.0 compatibilitiy and now builds a slick pkgdown documentation website and makes better use of Travis CI using multiple builds to test compatibility with development versions of selected package dependencies. New ‘pkgdown’...

Read more »

Incidence of COVID-19 in Texas after adjusting for test positivity by @ellis2013nz

Incidence of COVID-19 in Texas after adjusting for test positivity by @ellis2013nz

Amidst controversy in several (perhaps many?) countries about the timing and pace of opening up from COVID-19 control measures, one small corner of the argument today related to why Texas is seeing record numbers of new cases of COVID-19 in the days after a range of opening up measures. In a thread on Twitter, @SeanTrende argued that the worrying...

Read more »

Attach Your R Code To Charts You Tweet For Reproducible R Tweets!

May 16, 2020
By

I caught this tweet by Terence Eden about using Twitter image alt-text to “PGP sign” tweet and my mind immediately went to “how can I abuse this for covert communications, malicious command-and-control, and embedding R code in tweets?”. When you paste or upload an image to tweet (web interface, at least) you have an opportunity... Continue reading →

Read more »

Data Acquisition in R

May 16, 2020
By
Data Acquisition in R

Files A comma-separated values (CSV) file is a delimited text file that generally uses a comma to separate values. A CSV file stores tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by the delimiter. CSV is a common data exchange format that...

Read more »

Data Acquisition in R

May 16, 2020
By
Data Acquisition in R

Files A comma-separated values (CSV) file is a delimited text file that generally uses a comma to separate values. A CSV file stores tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by the delimiter. CSV is a common data exchange format that...

Read more »

It’s a wrap! yorkr wraps up BBL, NTB, PSL and WBB!!!

May 16, 2020
By
It’s a wrap! yorkr wraps up BBL, NTB, PSL and WBB!!!

“Do not take life too seriously. You will never get out of it alive.” – Elbert Hubbard “How many people here have telekenetic powers? Raise my hand.” – Emo Philips Have you ever noticed that anybody driving slower than you is an idiot, and anyone going faster than you is a maniac?” – George Carlin   It’s a … Continue reading It’s...

Read more »

Performance Optimization in R: Parallel Computing and Rcpp

May 15, 2020
By

The ‘parallel’ package Reference: https://bookdown.org/rdpeng/rprogdatascience/parallel-computation.html Many computations in R can be made faster by the use of parallel computation. Generally, parallel computation is the simultaneous execution of different pieces of a larger computation across multiple computing processors or cores. The parallel package can be used to send tasks (encoded as function calls) to each of the processing cores on your machine in parallel. The...

Read more »

Performance Optimization in R: Parallel Computing and Rcpp

May 15, 2020
By

The ‘parallel’ package Reference: https://bookdown.org/rdpeng/rprogdatascience/parallel-computation.html Many computations in R can be made faster by the use of parallel computation. Generally, parallel computation is the simultaneous execution of different pieces of a larger computation across multiple computing processors or cores. The parallel package can be used to send tasks (encoded as function calls) to each of the processing cores on your machine in parallel. The...

Read more »

Introduction to Time Series in R

May 15, 2020
By

Time Index A time series is a series of data points indexed in time order. In R, all data types for which an order is defined can be used to index a time series. If the operator

Read more »

Introduction to Time Series in R

May 15, 2020
By

Time Index A time series is a series of data points indexed in time order. In R, all data types for which an order is defined can be used to index a time series. If the operator

Read more »

Grand Slam title history as an animated bar chart race

Grand Slam title history as an animated bar chart race

I’ve spoiled it by putting the gif at the start of the post but if you are interested in how it was made then read on! I’ve seen this kind of charts around the web so I wanted to make a tennis-related one and what better than using Grand Slam wins since the very beginning; 1877. The main package that is...

Read more »

Congratulations Class of 2020!

May 15, 2020
By
Congratulations Class of 2020!

Yesterday, along with R-Ladies Founder Gabriela de Queiroz I was honored to be asked to give a short talk at an online graduation ceremony for the BSc and MSc Statistics Graduates of the class of 2020 (all R users) at the California State University, East Bay. My talk contains some statistics jargon, but I thought it might be helpful...

Read more »

Introduction to R

May 15, 2020
By

Quickstart Installation Download and install R at this link Download and install Rstudio (free version) at this link Comments All text after the sign # within the same line is considered a comment. # this is a comment this is NOT a comment Variables Values can be assigned to variables with the operators . # assign 1 to variable x x x Functions R functions are invoked by their name,...

Read more »

Introduction to R

May 15, 2020
By

Quickstart Installation Download and install R at this link Download and install Rstudio (free version) at this link Comments All text after the sign # within the same line is considered a comment. # this is a comment this is NOT a comment Variables Values can be assigned to variables with the operators . # assign 1 to variable x x x Functions R functions are invoked by their name,...

Read more »

How to Add a Vignette to a Package in RStudio

May 15, 2020
By
How to Add a Vignette to a Package in RStudio

R package vignettes are user-friendly ways to demo your package's capabilities. They can also be helpful documentation for your own reference when modifying the package in the future  -- "what was I thinking there?" The easiest way to create a vignette in RStudio is using File | New File | R Markdown | From Template | Package Vignette (HTML). Write your...

Read more »

Why R? Webinar – Humanitarian Data Analysis with R

May 15, 2020
By
Why R? Webinar – Humanitarian Data Analysis with R

May 14th (8:00pm UTC+2) did bring another webinar at Why R? Foundation YouTube channel. We had host a talk by Ahmadou H. Dicko dickoah. The talk covered Humanitarian Data Analysis with R. The link to the Webinar! Details donate: whyr.pl/donate/ ...

Read more »

#FunDataFriday – See your TwitterBot

May 15, 2020
By
#FunDataFriday – See your TwitterBot

Check out your twitter bot created in R by Thomas Serrano and shared by Bryan D Martin!

Read more »

How To Dockerize ShinyApps

May 15, 2020
By
How To Dockerize ShinyApps

After having successfully run a simple R-script inside a Docker container before, we next attempt to repeat this process for entire apps built within the RShiny framework. Join me on the next step toward deploying your work done in R with the help of neat Docker containers! Der Beitrag How To Dockerize ShinyApps erschien zuerst auf STATWORX.

Read more »

Online R trainings: Learning data science – live and interactive

May 15, 2020
By
Online R trainings: Learning data science – live and interactive

You want to use the R programming language to transform data into strategic knowledge? You are looking for the optimal introduction to working with R? You would like to participate in a training that really helps you despite your home office and limited travel possibilities?  Then register for our online R trainings. In our two

Read more »

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

May 14, 2020
By
How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

The 2 most popular data science languages - Python and R - are often pitted as rivals. This couldn’t be further from the truth. Data scientists that learn to use the strengths of both languages are valuable because they have NO LIMITS. Machine Le...

Read more »

Learn tidymodels with my supervised machine learning course

May 14, 2020
By
Learn tidymodels with my supervised machine learning course

Today I am happy to announce that a new tidymodels-centric version of my free, online, interactive course, Supervised Machine Learning: Case Studies in R, has been published! 🎉 This is at least the third version of this course I’ve built at this point 😁 but I believe it to be the best, in terms of how it communicates machine learning...

Read more »

Implied risk premia

May 14, 2020
By
Implied risk premia

In our last post, we applied machine learning to the Capital Aset Pricing Model (CAPM) to try to predict future returns for the S&P 500. This analysis was part of our overall project to analyze the various methods to set return expectations when seeking to build a satisfactory portfolio. Others include historical averages and discounted cash flow models we...

Read more »

R doesn’t need to throttle AWS Athena anymore

R doesn’t need to throttle AWS Athena anymore

RBloggers|RBloggers-feedburner I am happy to announce that RAthena-1.9.0 and noctua-1.7.0 have been released onto the cran. They both bring two key features: More stability when working with AWS Athena, focusing on AWS Rate Exceeded throttling errors New helper function to convert AWS S3 backend files to save cost NOTE: RAthena and noctua features correspond to each other, as a result I will refer...

Read more »

glmnet v4.0: generalizing the family parameter

May 14, 2020
By
glmnet v4.0: generalizing the family parameter

I’ve had the privilege of working with Trevor Hastie on an extension of the glmnet package which has just been released. In essence, the glmnet() function’s family parameter can now be any object of class family. This enables the user … Continue reading →

Read more »

Overview of the yuima and yuimaGUI R packages

May 14, 2020
By
Overview of the yuima and yuimaGUI R packages

The YUIMA Project is an open source academic project aimed at developing a complete environment for estimation and simulation of Stochastic Differential Equations and other Stochastic Processes via the R package called yuima and its Graphical User Interface yuimaGUI. Quickstart # install the package install.packages('yuima') # load the package require(yuima) The YUIMA Object The main object is the yuima object which allows to describe the model...

Read more »

Overview of the yuima and yuimaGUI R packages

May 14, 2020
By
Overview of the yuima and yuimaGUI R packages

The YUIMA Project is an open source academic project aimed at developing a complete environment for estimation and simulation of Stochastic Differential Equations and other Stochastic Processes via the R package called yuima and its Graphical User Interface yuimaGUI. Quickstart # install the package install.packages('yuima') # load the package require(yuima) The YUIMA Object The main object is the yuima object which allows to describe the model...

Read more »

Data Privacy in the Age of COVID-19

May 14, 2020
By
Data Privacy in the Age of COVID-19

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Katharine Jarmul, Head of Product at Cape Privacy. Introducing Katharine Jarmul Hugo Bowne Anderson: Hey Katharine. Katharine Jarmul: Hi Hugo. Hugo Bowne Anderson: How are you? Katharine Jarmul: Good. How are you? Hugo Bowne Anderson: Pretty good. So I'm going to read your bio as Ryan read mine so everyone knows who you are....

Read more »

Search R-bloggers

Sponsors