Floor filler

As I posted recently, I’m involved in a couple of events, later this summer: our annual Summer School and the new(er) tradition of the R for HTA workshop. I have to say that I’m very happy about how things are proceeding for both of them. The summer school has been first advertise a few months … Read more

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Descriptive/Summary Statistics with descriptr

We are pleased to introduce the descriptr package, a set of tools forgenerating descriptive/summary statistics. Installation # Install release version from CRAN install.packages(“descriptr”) # Install development version from GitHub # install.packages(“devtools”) devtools::install_github(“rsquaredacademy/descriptr”) Shiny App descriptr includes a shiny app which can be launched using ds_launch_shiny_app() or try the live version here. Read on to learn … Read more

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A Few New R Books

Greg Wilson is a data scientist and professional educator at RStudio. As a newcomer to R who prefers to read paper rather than pixels, I’ve been working my way through a more-or-less random selection of relevant books over the past few months. Some have discussed topics that I’m already familiar with in the context of … Read more

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simulation fodder for future exams

Here are two nice exercises for a future simulation exam, seen and solved on X validated. The first one is about simulating a Gibbs sampler associated with the joint target exp{-|x|-|y|-a(y-x|} defined over IR² for a≥0 (or possibly a>-1). The conditionals are identical and non-standard, but a simple bound on the conditional density is the … Read more

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Playing With Pipe Notations

Recently Hadley Wickham prescribed pronouncing the magrittr pipe as “then” and using right-assignment as follows: I am not sure if it is a good or bad idea. But let’s play with it a bit, and perhaps readers can submit their experience and opinions in the comments section. Right assignment Right assignment is a bit of … Read more

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Seasonality in NZ voting preference? by @ellis2013nz

There was a flurry of activity in the last couple of days on Twitter and the blogosphere, most notably Thomas Lumley’s excellent Stats Chat, relating to whether there is a pro-government bias in surveys of New Zealand voting intention in the summer. As the analysis I’ve seen used my nzelect R package, this motivated me … Read more

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Animate intermediate results of your algorithm

The R package gganimate enables to animate plots. It is particularly interestingto visualize the intermediate results of an algorithm, to see how it converges towardsthe final results. The following illustrates this with K-means clustering. The outline of this post is as follows: We will first generate some artificial data to work with.This allows to visualize … Read more

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5 Lines of Code to Convince You to Learn R

A brief treatise for those on the fence All of the code supporting this article can be forklifted from this MatrixDS project. Some good advice for data scientists (or really anyone). If you write the same code more than once; create a function. If you give the same advice more than once; write a blog post. … Read more

In Dev: WiGLE Your Way Into A Hotspot with wiglr

WiGLE has been around a while and is a great site to explore the pervasiveness or sparsity of Wi-Fi (and cellular) networks around the globe. While interactive use is fun, WiGLE also has a free API (so long as you obey the EULA and aren’t abusive) that lets you explore a little deeper if you … Read more

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Marco and Hugo discuss the role of data science in large-scale bets and bookmaking.

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Marco Blume, Trading Director at Pinnacle Sports. Here is the podcast link. Hugo: Hi there, Marco, and welcome to Dataframed. Marco: Yeah, hi Hugo. Thanks for having me. Hugo: Real pleasure to have you on the show and I’m actually really excited to have … Read more

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Installing R using Powershell

Installing R from scratch and creating your favorite IDE setup is especially useful when making fresh installation or when you are developing and testing out different versions. This blogpost will guide you through some essential steps (hopefully, there will not be many) on how to download the desired R engine, desired R GUI – in … Read more

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Interest in rappers measured by their Google searches

Google searches and the amount of searches for terms can show how interested the public is in that subject. After all, the act of Googling something is result of someone having some level of interest in that topic. The data that comes from Google searches and its statistics can give insight and different interpretation to … Read more

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Developing R Packages with usethis and GitLab CI: Part III

While developing your R package, you will want to make sure the code it contains is as clean as possible and that your package build and testing times are as efficient as you can make them. There are a number of tricks and tools at your disposal to accomplish these aims. This post, the third … Read more

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Le Monde puzzle [#1085]

A new Le Monde mathematical puzzle in the digit category: Given 13 arbitrary relative integers chosen by Bo, Abigail can select any subset of them to be drifted by plus or minus one by Bo, repeatedly until Abigail reaches the largest possible number N of multiples of 5. What is the minimal possible value of … Read more

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‚Stata-like‘ tick marks for logarithmic axes in ggplot2

I am currently reproducing a statistical analysis a colleague of mine conducted in Stata. Obviously, I am using R for the replication. I came across what I think is Stata’s default behavior when using log-transformed axes. This is an example. What I like about the tick lines on the axes here is that they show … Read more

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Query Generation in R

R users have been enjoying the benefits of SQL query generators for quite some time, most notably using the dbplyr package. I would like to talk about some features of our own rquery query generator, concentrating on derived result re-use. Introduction SQL represents value use by nesting. To use a query result within another query … Read more

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Weather Forecast from MET Office

This is another function I wrote to access the MET office API and obtain a 5-day ahead weather forecast: METDataDownload <- function(stationID, product, key){library(“RJSONIO”) #Load Librarylibrary(“plyr”)library(“dplyr”)library(“lubridate”)connectStr <- paste0(“http://datapoint.metoffice.gov.uk/public/data/val/wxfcs/all/json/”,stationID,”?res=”,product,”&key=”,key)con <- url(connectStr)data.json <- fromJSON(paste(readLines(con), collapse=””))close(con)#StationLocID <- data.json$SiteRep$DV$Location$`i`LocName <- data.json$SiteRep$DV$Location$nameCountry <- data.json$SiteRep$DV$Location$countryLat <- data.json$SiteRep$DV$Location$latLon <- data.json$SiteRep$DV$Location$lonElev <- data.json$SiteRep$DV$Location$elevationDetails <- data.frame(LocationID = LocID,LocationName = LocName,Country = Country,Lon = Lon,Lat … Read more

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Geocoding function

This is a very simple function to perform geocoding using the Google Maps API: getGeoCode <- function(gcStr, key) {library(“RJSONIO”) #Load LibrarygcStr <- gsub(‘ ‘,’%20’,gcStr) #Encode URL Parameters#Open ConnectionconnectStr <- paste0(‘https://maps.googleapis.com/maps/api/geocode/json?address=’,gcStr, “&key=”,key) con <- url(connectStr)data.json <- fromJSON(paste(readLines(con), collapse=””))close(con)#Flatten the received JSONdata.json <- unlist(data.json)if(data.json[“status”]==”OK”) {lat <- data.json[“results.geometry.location.lat”]lng <- data.json[“results.geometry.location.lng”]gcodes <- c(lat, lng)names(gcodes) <- c(“Lat”, “Lng”)return (gcodes)}} Essentially, … Read more

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Take 4+: Presentations on ‘Elements of Neural Networks and Deep Learning’ – Parts 1-8

“Lights, camera and … action – Take 4+!” This post includes  a rework of all presentation of ‘Elements of Neural Networks and Deep  Learning Parts 1-8 ‘ since my earlier presentations had some missing parts, omissions and some occasional errors. So I have re-recorded all the presentations.This series of presentation will do a deep-dive  into Deep … Read more

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Mastering your day as a programmer

How do you program? I feel like there is a lot of advice out there, but most ofit focuses on the micro level rather than on the macro level. That’s why Idecided to think about what makes one an efficient programmer on a macro level. Spend time on improving skills that help you become more … Read more

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Post to Mastodon from R

Mastodon is a decentralized microblogging platform. We can analyse some data and directly post our findings to a Mastodon instance. For example we can plot the different TLDs used by the Mastodon Fediverse. library(tidyverse) library(httr) library(jsonlite) library(scales) library(ggthemes) library(ggrepel) # data source url <- “https://instances.mastodon.xyz/” mastodon <- GET(paste0(url, “instances.json”)) %>% content(as = “text”) %>% fromJSON() … Read more

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Anatomy of a logistic growth curve

In this post, I walk through the code I used to make a nice diagram illustratingthe parameters in a logistic growth curve. I made this figure for a conferencesubmission. I had a tight word limit (600 words) and a complicatedstatistical method (Bayesian nonlinear mixed effects beta regression), so Iwanted to use a diagram to carry … Read more

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The Most Amount of Rain over a 10 Day Period on Record

Townsville, Qld, has been inundated with torrential rain and has broken the record of the largest rainfall over a 10 day period. It has been devastating for the farmers and residents of Townsville. I looked at Townsville’s weather data to understand how significant this event was and if there have been comparable events in the … Read more

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Data-driven Introspection of my Android Mobile usage in R

Categories Programming Tags Data Visualisation Exploratory Analysis R Programming This is an attempt to see how the data that are collected from us, can also be used for the betterment of us – one’s self. When companies are so interested in collecting our personal data to show a push in Quarterly revenues, Why not use … Read more

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Using the ropendata R Package to Access Petabytes of Free Internet Telemetry Data from Rapid7

I’ve got a post up over at $DAYJOB’s blog on using the ropendata? package to access the ginormous and ever-increasing amount of internet telemetry (scan) data via the Rapid7 Open Data API. It’s super-R-code-heavy but renders surprisingly well in Ghost (the blogging platform we use at work) and covers everything from where to sign up … Read more

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Visualizing Brooklyn Nine-Nine with R!

“Hey there criminal. It’s me, Johnny Law!” – Jake Peralta, NYPD. Brooklyn Nine-Nine has become one of my favorite sitcoms in recentyears, probably taking over from Parks & Recreation and Community. So inthis blog post, I’m going to web scrape some very simple TV statistics,clean it up with the tidyverse, and visualize it with ggplot2… … Read more

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Busy summer ahead

Summer is really going to be busy, this year. But in a good way… In June, I’ll be at our annual summer school in Florence. This year, we have a slight change in the line-up — Nicky has decided to take a break from teaching with us, which is a shame, (although I understand, as … Read more

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Stats in the newspapers

As I’m waiting to catch my flight back from Stockholm (where I had a rather interesting meeting discussing Bayesian network meta-analysis. But I digress…), I am browsing the news — mainly just to keep myself awake. And I find this interesting piece of news in The Guardian. It is the story that data released by … Read more

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PDSwR2 Free Excerpt and New Discount Code

Manning has a new discount code and a free excerpt of our book Practical Data Science with R, 2nd Edition: here. This section is elementary, but things really pick up speed as later on (also available in a paid preview). Related To leave a comment for the author, please follow the link and comment on … Read more

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Online color apps at hclwizard.org

The hclwizard.org web page has been relaunched, hosting three online color apps based on the HCL (Hue-Chroma-Luminance) color model: a palette constructor, a color vision deficiency emulator, and a color picker. HCL wizard: Somewhere over the rainbow The web page http://hclwizard.org/ had originally been started to accompany the manuscript: “Somewhere over the Rainbow: How to … Read more

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A Shiny app for your perfect circle

Abstract: The perfect circle is a shiny app providing a user friendly interface to the algorithm described in the previous blog post Judging Freehand Circle Drawing Competitions. The app allows one to score freehand circles directly from the mobile by uploading photos of them them to a shiny server. An R package “perfectcircle” contains the … Read more

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AI, Machine Learning and Data Science Roundup: February 2019

A monthly roundup of news about Artificial Intelligence, Machine Learning and Data Science. This is an eclectic collection of interesting blog posts, software announcements and data applications from Microsoft and elsewhere that I’ve noted over the past month or so. Open Source AI, ML & Data Science News ONNX, the open interchange format for AI … Read more

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Happy Valentines day by Nerds

Real nerds on Valentines day graph hearts instead of drawing them. My drawing skills are not what I like them to be, my R skills are though! Therefore, let’s draw a heart in R instead on paper! dat<- data.frame(t=seq(0, 2*pi, by=0.01) )xhrt<- function(t) 16*sin(t)^3yhrt<- function(t) 13*cos(t)-5*cos(2*t)-2*cos(3*t)-cos(4*t)dat$y=yhrt(dat$t)dat$x=xhrt(dat$t) with(dat, plot(x,y, type=”l”, axes=FALSE, frame.plot=FALSE, labels = FALSE, xlab … Read more

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Roses Are Red, Violets Are Blue, Statistics Can Be Romantic Too!

It’s Valentine’s day, making this the most romantic time of the year. But actually, already 2018 was a year full of love here at STATWORX: many of my STATWORX colleagues got engaged. And so we began to wonder – some fearful, some hopeful – who will be next?Therefore, today we’re going to tackle this question … Read more

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Generate multiple language version plots

The use case is to create the same plot in different languages. I used this technique for Wikipedia plots. We are going to build a list containing all translations, we will then loop over each language, generating and saving the plot. # Mauna Loa atmospheric CO2 change # multi language plot for Wikipedia # Required … Read more

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New discretization method: Recursive information gain ratio maximization

Hello everyone, I’m happy to share a new method to discretize variables I was working on for the last few months: Recursive discretization using gain ratio for multi-class variable tl;dr: funModeling::discretize_rgr(input, target) The problem: Need to convert a numeric variable into one categorical, considering the relationship with the target variable. How do we choose the … Read more

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Try out RStudio Connect on Your Desktop for Free

Have you heard of RStudio Connect, but do not know where to start? Maybe you aretrying to show your manager how Shiny applications can be deployed inproduction, or convince a DevOps engineer that R can fit into her existingtooling. Perhaps you want to explore the functionality of RStudio’s Professionalproducts to see if they fit the … Read more

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In memory of Monty Hall

Some find it a common knowledge, some find it weird. As a professor I usually teach about Monty Hall problem and year after year I see puzzling looks from students regarding the solution. Image taken from http://media.graytvinc.com/images/690*388/mon+tyhall.jpg The original and most simple scenario of the Monty Hall problem is this: You are in a prize … Read more

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So, what is AI really?

One of the topics that is totally hyped at the moment is obviously Artificial Intelligence or AI for short. There are many self-proclaimed experts running around trying to sell you the stuff they have been doing all along under this new label. When you ask them what AI means you will normally get some convoluted … Read more

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Community Call Follow-up – Governance of Open Source Research Software Organizations

We tend to know a good open source research software project when we see it: The code is well-documented, users contribute back to the project, the software is licensed and citable, and the community interacts and co-produces in a healthy, productive fashion. The academic literature and community discourse around research software development offer insight into … Read more

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German Female Corporate Officers: Where Are You?

Last week, the German NGO Open Knowledge Foundation Deutschland e.V. has made German Trade Resister data available via the project OffeneRegister.de, together with the British NGO opencorporates. In my last blog post I checked the general accessibility of the data. In this quick follow-up post I follow an idea inspired by a tweet by Johannes … Read more

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RFM Analysis in R

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n”,”data”:[[“1″,”2″,”3″,”4″,”5″,”6″,”7″,”8″,”9″,”10″,”11″,”12″,”13″,”14″,”15″,”16″,”17″,”18″,”19″,”20″,”21″,”22″,”23″,”24″,”25″,”26″,”27″,”28″,”29″,”30″,”31″,”32″,”33″,”34″,”35″,”36″,”37″,”38″,”39″,”40″,”41″,”42″,”43″,”44″,”45″,”46″,”47″,”48″,”49″,”50″,”51″,”52″,”53″,”54″,”55″,”56″,”57″,”58″,”59″,”60″,”61″,”62″,”63″,”64″,”65″,”66″,”67″,”68″,”69″,”70″,”71″,”72″,”73″,”74″,”75″,”76″,”77″,”78″,”79″,”80″,”81″,”82″,”83″,”84″,”85″,”86″,”87″,”88″,”89″,”90″,”91″,”92″,”93″,”94″,”95″,”96″,”97″,”98″,”99″,”100″,”101″,”102″,”103″,”104″,”105″,”106″,”107″,”108″,”109″,”110″,”111″,”112″,”113″,”114″,”115″,”116″,”117″,”118″,”119″,”120″,”121″,”122″,”123″,”124″,”125″,”126″,”127″,”128″,”129″,”130″,”131″,”132″,”133″,”134″,”135″,”136″,”137″,”138″,”139″,”140″,”141″,”142″,”143″,”144″,”145″,”146″,”147″,”148″,”149″,”150″,”151″,”152″,”153″,”154″,”155″,”156″,”157″,”158″,”159″,”160″,”161″,”162″,”163″,”164″,”165″,”166″,”167″,”168″,”169″,”170″,”171″,”172″,”173″,”174″,”175″,”176″,”177″,”178″,”179″,”180″,”181″,”182″,”183″,”184″,”185″,”186″,”187″,”188″,”189″,”190″,”191″,”192″,”193″,”194″,”195″,”196″,”197″,”198″,”199″,”200″,”201″,”202″,”203″,”204″,”205″,”206″,”207″,”208″,”209″,”210″,”211″,”212″,”213″,”214″,”215″,”216″,”217″,”218″,”219″,”220″,”221″,”222″,”223″,”224″,”225″,”226″,”227″,”228″,”229″,”230″,”231″,”232″,”233″,”234″,”235″,”236″,”237″,”238″,”239″,”240″,”241″,”242″,”243″,”244″,”245″,”246″,”247″,”248″,”249″,”250″,”251″,”252″,”253″,”254″,”255″,”256″,”257″,”258″,”259″,”260″,”261″,”262″,”263″,”264″,”265″,”266″,”267″,”268″,”269″,”270″,”271″,”272″,”273″,”274″,”275″,”276″,”277″,”278″,”279″,”280″,”281″,”282″,”283″,”284″,”285″,”286″,”287″,”288″,”289″,”290″,”291″,”292″,”293″,”294″,”295″,”296″,”297″,”298″,”299″,”300″,”301″,”302″,”303″,”304″,”305″,”306″,”307″,”308″,”309″,”310″,”311″,”312″,”313″,”314″,”315″,”316″,”317″,”318″,”319″,”320″,”321″,”322″,”323″,”324″,”325″,”326″,”327″,”328″,”329″,”330″,”331″,”332″,”333″,”334″,”335″,”336″,”337″,”338″,”339″,”340″,”341″,”342″,”343″,”344″,”345″,”346″,”347″,”348″,”349″,”350″,”351″,”352″,”353″,”354″,”355″,”356″,”357″,”358″,”359″,”360″,”361″,”362″,”363″,”364″,”365″,”366″,”367″,”368″,”369″,”370″,”371″,”372″,”373″,”374″,”375″,”376″,”377″,”378″,”379″,”380″,”381″,”382″,”383″,”384″,”385″,”386″,”387″,”388″,”389″,”390″,”391″,”392″,”393″,”394″,”395″,”396″,”397″,”398″,”399″,”400″,”401″,”402″,”403″,”404″,”405″,”406″,”407″,”408″,”409″,”410″,”411″,”412″,”413″,”414″,”415″,”416″,”417″,”418″,”419″,”420″,”421″,”422″,”423″,”424″,”425″,”426″,”427″,”428″,”429″,”430″,”431″,”432″,”433″,”434″,”435″,”436″,”437″,”438″,”439″,”440″,”441″,”442″,”443″,”444″,”445″,”446″,”447″,”448″,”449″,”450″,”451″,”452″,”453″,”454″,”455″,”456″,”457″,”458″,”459″,”460″,”461″,”462″,”463″,”464″,”465″,”466″,”467″,”468″,”469″,”470″,”471″,”472″,”473″,”474″,”475″,”476″,”477″,”478″,”479″,”480″,”481″,”482″,”483″,”484″,”485″,”486″,”487″,”488″,”489″,”490″,”491″,”492″,”493″,”494″,”495″,”496″,”497″,”498″,”499″,”500″,”501″,”502″,”503″,”504″,”505″,”506″,”507″,”508″,”509″,”510″,”511″,”512″,”513″,”514″,”515″,”516″,”517″,”518″,”519″,”520″,”521″,”522″,”523″,”524″,”525″,”526″,”527″,”528″,”529″,”530″,”531″,”532″,”533″,”534″,”535″,”536″,”537″,”538″,”539″,”540″,”541″,”542″,”543″,”544″,”545″,”546″,”547″,”548″,”549″,”550″,”551″,”552″,”553″,”554″,”555″,”556″,”557″,”558″,”559″,”560″,”561″,”562″,”563″,”564″,”565″,”566″,”567″,”568″,”569″,”570″,”571″,”572″,”573″,”574″,”575″,”576″,”577″,”578″,”579″,”580″,”581″,”582″,”583″,”584″,”585″,”586″,”587″,”588″,”589″,”590″,”591″,”592″,”593″,”594″,”595″,”596″,”597″,”598″,”599″,”600″,”601″,”602″,”603″,”604″,”605″,”606″,”607″,”608″,”609″,”610″,”611″,”612″,”613″,”614″,”615″,”616″,”617″,”618″,”619″,”620″,”621″,”622″,”623″,”624″,”625″,”626″,”627″,”628″,”629″,”630″,”631″,”632″,”633″,”634″,”635″,”636″,”637″,”638″,”639″,”640″,”641″,”642″,”643″,”644″,”645″,”646″,”647″,”648″,”649″,”650″,”651″,”652″,”653″,”654″,”655″,”656″,”657″,”658″,”659″,”660″,”661″,”662″,”663″,”664″,”665″,”666″,”667″,”668″,”669″,”670″,”671″,”672″,”673″,”674″,”675″,”676″,”677″,”678″,”679″,”680″,”681″,”682″,”683″,”684″,”685″,”686″,”687″,”688″,”689″,”690″,”691″,”692″,”693″,”694″,”695″,”696″,”697″,”698″,”699″,”700″,”701″,”702″,”703″,”704″,”705″,”706″,”707″,”708″,”709″,”710″,”711″,”712″,”713″,”714″,”715″,”716″,”717″,”718″,”719″,”720″,”721″,”722″,”723″,”724″,”725″,”726″,”727″,”728″,”729″,”730″,”731″,”732″,”733″,”734″,”735″,”736″,”737″,”738″,”739″,”740″,”741″,”742″,”743″,”744″,”745″,”746″,”747″,”748″,”749″,”750″,”751″,”752″,”753″,”754″,”755″,”756″,”757″,”758″,”759″,”760″,”761″,”762″,”763″,”764″,”765″,”766″,”767″,”768″,”769″,”770″,”771″,”772″,”773″,”774″,”775″,”776″,”777″,”778″,”779″,”780″,”781″,”782″,”783″,”784″,”785″,”786″,”787″,”788″,”789″,”790″,”791″,”792″,”793″,”794″,”795″,”796″,”797″,”798″,”799″,”800″,”801″,”802″,”803″,”804″,”805″,”806″,”807″,”808″,”809″,”810″,”811″,”812″,”813″,”814″,”815″,”816″,”817″,”818″,”819″,”820″,”821″,”822″,”823″,”824″,”825″,”826″,”827″,”828″,”829″,”830″,”831″,”832″,”833″,”834″,”835″,”836″,”837″,”838″,”839″,”840″,”841″,”842″,”843″,”844″,”845″,”846″,”847″,”848″,”849″,”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O’Reilly DVM”,”Add Senger”,”Aden Lesch Sr.”,”Admiral Senger”,”Agness O’Keefe”,”Aileen Barton”,”Ailene Hermann”,”Aiyanna Bruen PhD”,”Ala Schmidt DDS”,”Alannah Borer”,”Alcide Rohan”,”Aleena Berge”,”Alessandra Heaney”,”Alethea Blanda”,”Alex Armstrong”,”Alex Bergnaum”,”Alexis Cormier”,”Alf Lueilwitz”,”Alferd Ziemann”,”Alfred Metz”,”Almedia Yundt”,”Alpheus Wilkinson”,”Alphonse Champlin V”,”Alton Wintheiser”,”Alvah Bogisich”,”Alvera Balistreri”,”Alwina Wilkinson DDS”,”Alyssia Hickle”,”Amina Renner”,”Amit Langworth”,”Anabel Jakubowski PhD”,”Anastasia Howe”,”Anderson … Read more

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A Look Back on 2018: Part 2

Welcome to the second installment of Reproducible Finance 2019! In the previous post, we looked back on the daily returns for several market sectors in 2018. Today, we’ll continue that theme and look at some summary statistics for 2018, and then extend out to previous years and different ways of visualizing our data. There’s not … Read more

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PlayerIds

Something that has been talked a bit about recently on twitter is the the use of unique playerIDs so that fan analysts, punters and bloggers can track players through time. There are some things that need to be thought about when creating unique playerIDS for analysis. Lets say you are a user of #fitzRoy we … Read more

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