Event - useR-international-R-User-conferences_useR-International-R-User-2017-Conference


Dose-response analysis using R[MP4] [1:22:40] [2017/07/26]
Dose-response analysis using R


Room 4.01 Lightning Talks[MP4] [0:47:29] [2017/07/22]
useR!2017: Venues 5:30pm • DNA methylation-based classification of human central nervous system tumors 5:35pm • Multivariate statistics for PAT data analysis: short overview of existing R packages and…


IRT test equating with the R package equateIRT [MP4] [0:20:14] [2017/07/22]
useR!2017: IRT test equating with the R package equ... Keywords: Equating, Item Response Theory, Multiple Forms, Scoring, Testing.Webpages: https://CRAN.R-project.org/package=equateIRTIn many testing…


Ranking items scalably with the Bradley-Terry model [MP4] [0:18:49] [2017/07/22]
useR!2017: Ranking items scalably with the Bradley-... Keywords: Citation data, Directed network, Paired comparisons, Quasi-symmetry, Sparse matricesWebpage:…


difNLR: Detection of potentional gender/minority bias with extensions of logistic regression [MP4] [0:14:41] [2017/07/22]
useR!2017: difNLR: Detection of potentional gender/... difNLR: Detection of potentional gender/minority bias with extensions of logistic regressionAdela Drabinova1,2 and Patricia Martinkova21. Faculty…


Bayesian social network analysis with Bergm [MP4] [0:18:27] [2017/07/22]
useR!2017: Bayesian social network analysis with Be... Keywords: Bayesian analysis, Exponential random graph models, Monte Carlo methodsWebpages: https://CRAN.R-project.org/package=BergmExponential…


Room 2.01 Lightning Talks[MP4] [0:52:28] [2017/07/22]
useR!2017: Lightning Talks (Room 2.01) 5:30pm • rdwd – manage German weather observations 5:35pm • eseis – A toolbox to weld seismologic and geomorphic data analysis 5:40pm • An R Decision Support…


*implyr**: A **dplyr** Backend for a Apache Impala [MP4] [0:18:58] [2017/07/22]
useR!2017: *implyr**: A **dplyr** Backend for a Apa... Keywords: Tidyverse, dplyr, SQL, Apache Impala, Big DataWebpages: https://CRAN.R-project.org/package=implyrThis talk introduces implyr, a new…


Improving DBI [MP4] [0:16:44] [2017/07/22]
useR!2017: Improving DBI Keywords: Database, SQLite, specification, test suiteWebpages: https://CRAN.R-project.org/package=DBI, https://CRAN.R-project.org/package=DBItest,…


R-based computing with big data on disk [MP4] [0:17:21] [2017/07/22]
useR!2017: R-based computing with big data on disk Keywords: big data, reproducibility, data aggregation, bioinformatics, imagingWebpages: https://github.com/kuwisdelu/matter,…


odbc - A modern database interface [MP4] [0:17:56] [2017/07/22]
useR!2017: odbc - A modern database interface Keywords: ODBC, DBI, databases, dplyr, RStudioWebpages: https://CRAN.R-project.org/package=odbc, https://github.com/rstats-db/odbcGetting data into and…


Daff: diff, patch and merge for data.frames [MP4] [0:17:14] [2017/07/22]
useR!2017: Daff: diff, patch and merge for data.fra... Keywords: Reproducible research, data versioningWebpages: https://CRAN.R-project.org/package=daff, https://github.com/edwindj/daffIn data…


Stochastic Gradient Descent Log-Likelihood Estimation in the Cox Proportional Hazards Model with…[MP4] [0:17:37] [2017/07/22]
useR!2017: Stochastic Gradient Descent Log-Likeliho... In the last decade, the volume of data have grown faster then the speed of processors. In this situation the statistical machine learnig methods…


Interactive and Reproducible Research for RNA Sequencing Analysis [MP4] [0:19:25] [2017/07/22]
useR!2017: Interactive and Reproducible Research fo... Keywords: RNA-Seq, Exploratory Data Analysis, Differential Expression, Interactivity, ReproducibilityWebpages:…


Differentiation of brain tumor tissue using hierarchical non-negative matrix factorization [MP4] [0:18:01] [2017/07/22]
useR!2017: Differentiation of brain tumor tissue us... **Keywords**: non-negative matrix factorization, magnetic resonance imaging, brain tumorTreatment of brain tumors is complicated by their high…


Using the alphabetr package to determine paired T cell receptor sequences [MP4] [0:17:42] [2017/07/22]
useR!2017: Using the alphabetr package to determine... The immune system has the monumental challenge of being capable of respond- ing to any pathogen or foreign substance invading the body while…


Spatial data in R: new directions[MP4] [1:26:54] [2017/07/22]
Spatial data in R: new directions


Spatial data in R: new directions II[MP4] [1:10:10] [2017/07/22]
Spatial data in R: new directions II


Geospatial visualization using R[MP4] [1:34:32] [2017/07/22]
Geospatial visualization using R


Geospatial visualization using R II[MP4] [1:26:59] [2017/07/22]
Geospatial visualization using R II


Introduction to optimal changepoint detection algorithms[MP4] [1:31:29] [2017/07/22]
Introduction to optimal changepoint detection algorithms


Introduction to optimal changepoint detection algorithms II[MP4] [1:26:32] [2017/07/22]
Introduction to optimal changepoint detection algorithms II


Sports Analytics with R[MP4] [1:41:57] [2017/07/22]
Sports Analytics with R


Sports Analytics with R II[MP4] [1:31:35] [2017/07/22]
Sports Analytics with R II


Extracting Meaningful Noisy Biclusters from a Binary Big-Data Matrix using the BiBitR R Package [MP4] [0:18:49] [2017/07/21]
useR!2017: Extracting Meaningful Noisy Biclusters f... Keywords: R, package, biclustering, binary dataWebpages: https://cran.r-project.org/web/packages/BiBitR/index.hmtl,…


kmlShape: clustering longitudinal data according to their shapes [MP4] [0:23:12] [2017/07/21]
kmlShape: clustering longitudinal data according to their shapes


Clustering transformed compositional data using *coseq* [MP4] [0:16:11] [2017/07/21]
useR!2017: Clustering transformed compositional dat... Although there is no shortage of clustering algorithms proposed in the literature, the question of the most relevant strategy for clustering…


Integrated Cluster Analysis with R in Drug Discovery Experiments using Multi-Source Data [MP4] [0:17:42] [2017/07/21]
useR!2017: Integrated Cluster Analysis with R in Dr... Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, BelgiumIndependent consultantKeywords: High dimensional data,…


ICAOD: An R Package to Find Optimal Designs for Nonlinear Models with Imperialist Competitive…[MP4] [0:16:56] [2017/07/21]
useR!2017: ICAOD: An R Package to Find Optimal Desi... Keywords: Optimal design, Nonlinear models, Optimization, Evolutionary algorithmWebpages: https://cran.r-project.org/web/packages/ICAODThe ICAOD…


Maximum growth rate estimation with **growthrates** [MP4] [0:18:15] [2017/07/21]
useR!2017: Maximum growth rate estimation with **gr... Keywords: population growth, nonlinear models, differential equationWebpages: https://CRAN.R-project.org/package=growthrates,…


Curve Linear Regression with **clr** [MP4] [0:15:31] [2017/07/21]
useR!2017: Curve Linear Regression with **clr** Keywords: Dimension reduction, Correlation dimension, Singular value decomposition, Load forecastingWe present a new R package for curve linear…


A restricted composite likelihood approach to modelling Gaussian geostatistical data [MP4] [0:15:14] [2017/07/21]
useR!2017: A restricted composite likelihood approa... Keywords: composite likelihood, effective sample size, REML, spatial dependenceComposite likelihood methods have become popular in spatial…


Robets: Forecasting with Robust Exponential Smoothing with Trend and Seasonality [MP4] [0:15:37] [2017/07/21]
useR!2017: Robets: Forecasting with Robust Exponent... Keywords: Time Series, Forecasting, Robust Statistics, Exponential SmoothingWebpages: https://CRAN.R-project.org/package=robets,…


Modelling the environment in R: from small-scale to global applications II[MP4] [1:24:26] [2017/07/15]
Modelling the environment in R: from small-scale to global applications II


Modelling the environment in R: from small-scale to global applications[MP4] [1:27:22] [2017/07/15]
Modelling the environment in R: from small-scale to global applications


Introduction to Bayesian inference with JAGS II[MP4] [1:28:24] [2017/07/15]
Introduction to Bayesian inference with JAGS II


Dynamic modeling and parameter estimation with dMod [MP4] [0:18:56] [2017/07/14]
useR!2017: Dynamic modeling and parameter estimatio... Keywords: Parameter Estimation, ODEs, Systems Biology, Maximum-Likelihood, Profile-LikelihoodWebpages: https://github.com/dkaschek/dMod,…


ompr: an alternative way to model mixed-integer linear programs [MP4] [0:17:34] [2017/07/14]
useR!2017: ompr: an alternative way to model mixed-... Keywords: integer programming, linear programming, modelling, optimizationWebpages: https://github.com/dirkschumacher/omprMany real world…


Introduction to Bayesian inference with JAGS[MP4] [1:22:56] [2017/07/14]
Introduction to Bayesian inference with JAGS


Morphological Analysis with R [MP4] [0:17:20] [2017/07/14]
useR!2017: Morphological Analysis with R Keywords: Shiny, DataTables, analysis methods, problem-solvingWebpages: https://github.com/sgrubsmyon/morphrMorphological analysis is a problem-structuring…


Change Point Detection in Persistence Diagrams [MP4] [0:17:53] [2017/07/14]
useR!2017: Change Point Detection in Persistence Di... Keywords: TDA, Persistence, Wavelets, Change-Point DetectionWebpages: https://github.com/speegled/cpbaywaveTopological data analysis (TDA) offers…


Room 3.01 Lightning Talks[MP4] [0:58:39] [2017/07/13]
useR!2017: Lightning Talks (Room 3.01) 5:30pm • Advanced R Solutions -- A Bookdown Project 5:35pm • graphiT: an interactive, user-friendly tool to produce graphics based on the grammar of graphics'…


brms: Bayesian Multilevel Models using Stan [MP4] [0:17:47] [2017/07/13]
useR!2017: brms: Bayesian Multilevel Models using S... The brms package (Bürkner, in press) implements Bayesian multilevel models in R using the probabilistic programming language Stan (Carpenter,…


**countreg**: Tools for count data regression [MP4] [0:15:11] [2017/07/13]
useR!2017: **countreg**: Tools for count data regre... Keywords: Count data regression, model diagnostics, rootogram, visualizationWebpages: https://R-Forge.R-project.org/projects/countregThe interest…


R Package glmm: Likelihood-Based Inference for Generalized Linear Mixed Models [MP4] [0:16:43] [2017/07/13]
R Package glmm: Likelihood-Based Inference for Generalized Linear Mixed Models


MCMC Output Analysis Using R package mcmcse [MP4] [0:19:07] [2017/07/13]
useR!2017: MCMC Output Analysis Using R package mcm... Markov chain Monte Carlo (MCMC) is a method of producing a correlated sample in order to estimate expectations with respect to a target…


Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data with ctmcd [MP4] [0:18:42] [2017/07/13]
useR!2017: Estimating the Parameters of a Continuou... Keywords: Embedding Problem, Generator Matrix, Continuous-Time Markov Chain, Discrete-Time Markov ChainWebpages:…


EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks [MP4] [0:15:05] [2017/07/13]
useR!2017: EpiModel: An R Package for Mathematical... Keywords: mathematical model, infectious disease, epidemiology, networks, RWebpages: https://CRAN.R-project.org/package=EpiModel,…


Social contact data in endemic-epidemic models and probabilistic forecasting with **surveillance** [MP4] [0:21:36] [2017/07/13]
useR!2017: Social contact data in endemic-epidemic... Keywords: age-structured contact matrix, areal count time series, infectious disease epidemiology, norovirus, spatio-temporal surveillance…


data.table for beginners[MP4] [1:05:13] [2017/07/13]
data.table for beginners


Introduction to parallel computing with R II[MP4] [1:02:39] [2017/07/13]
Introduction to parallel computing with R II


CLOSING [MP4] [0:16:18] [2017/07/13]
CLOSING


Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in *R* [MP4] [0:16:20] [2017/07/13]
useR!2017: Various Versatile Variances: An Object-O... Keywords: clustered data, clustered covariance matrix estimators, object-orientation, simulation, RWebpages:…


Modules in R [MP4] [0:15:28] [2017/07/13]
useR!2017: Modules in R Keywords: programming, functional-programmingWebpages: https://CRAN.R-project.org/package=modules, https://github.com/wahani/modulesIn this talk I present the concept of…


Integrated analysis of digital PCR experiments in R [MP4] [0:16:11] [2017/07/13]
useR!2017: Integrated analysis of digital PCR exper... Keywords: digital PCR, multiple comparison, GUI, reproducible researchWebpages: https://CRAN.R-project.org/package=dpcR,…


Room 4.02 Lightning Talks[MP4] [0:55:10] [2017/07/13]
useR!2017: Lightning Talks (Room 4.02) 5:30pm • R in a small-sized bank's risk management 5:35pm • **eventstudies**: An *R* package for conducting event studies and a platform for methodological…


metawRite: Review, write and update meta-analysis results [MP4] [0:15:22] [2017/07/13]
useR!2017: metawRite: Review, write and update meta... Keywords: Living systematic review, meta-analysis, shiny, reproducible researchWebpages: https://github.com/natydasilva/metawRiteSystematic…


Letting R sense the world around it with **shinysense** [MP4] [0:15:08] [2017/07/13]
useR!2017: Letting R sense the world around it with... Keywords: Shiny, JavaScript, Data Collection, User ExperienceWebpages: https://github.com/nstrayer/shinysense,…


**shadow**: R Package for Geometric Shade Calculations in an Urban Environment [MP4] [0:13:28] [2017/07/13]
useR!2017: **shadow**: R Package for Geometric Shad... Keywords: shadow, sun position, geometry, solar radiation, building facadesWebpage: https://CRAN.R-project.org/package=shadowSpatial analysis of…


KEYNOTE: 20 years of CRAN [MP4] [1:07:21] [2017/07/13]
useR!2017: KEYNOTE: 20 years of CRAN Abstract: We will look at this history of CRAN, its success and its shortcomings. We try to answer some of the question you always had about CRAN: - What and who…


shiny.collections: Google Docs-like live collaboration in Shiny [MP4] [0:16:44] [2017/07/13]
useR!2017: shiny.collections: Google Docs-like live... Keywords: Shiny, data applications, UX, live collaboration, data persistenceWebpages: https://appsilon.github.io/shiny.collections/What users…


Efficient R Programming II[MP4] [1:03:04] [2017/07/13]
Efficient R Programming II


An Efficient Algorithm for Solving Large Fixed Effects OLS Problems with Clustered Standard Error…[MP4] [0:18:29] [2017/07/13]
useR!2017: An Efficient Algorithm for Solving Large... title: An Efficient Algorithm for Solving Large Fixed Effects OLS Problems with Clustered Standard Error Estimation author: | | Thomas Balmat and…


**rags2ridges**: A One-Stop-Go for Network Modeling of Precision Matrices [MP4] [0:18:48] [2017/07/13]
useR!2017: **rags2ridges**: A One-Stop-Go for Netwo... Keywords: Data integration, Graphical modeling, High-dimensional precision matrix estimation; NetworksWebpages:…


How to Use (R)Stan to Estimate Models in External R Packages [MP4] [0:15:40] [2017/07/13]
useR!2017: How to Use (R)Stan to Estimate Models in... Keywords: Bayesian, developeRsWebpages: rstan, rstanarm, rstantools, StanHeaders, bayesplot, shinyStan, loo, home pageThe rstan package provides…


KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It [MP4] [1:02:49] [2017/07/13]
useR!2017: KEYNOTE: Parallel Computation in R: Wha... This era of Big Data has been a challenge for R users. First there were issues with address spaces restrictions in R itself. Though this problem…


Interfacing Google's spherical geometry library (S2) for spatial data in R [MP4] [0:18:47] [2017/07/13]
useR!2017: Interfacing Google's spherical geometry... Keywords: Spatial statistics, spherical geometry, geospatial index, GISWebpages: https://github.com/spatstat/s2,…


**RQGIS** - integrating *R* with QGIS for innovative geocomputing [MP4] [0:17:53] [2017/07/13]
useR!2017: **RQGIS** - integrating *R* with QGIS fo... Keywords: GIS interface, QGIS, Python interfaceWebpages: https://cran.r-project.org/web/packages/RQGIS/index.html,…


Adaptive Subgroup Selection in Sequential Trials [MP4] [0:15:22] [2017/07/13]
useR!2017: Adaptive Subgroup Selection in Sequentia... [`ASSISTant`](https://cran.r-project.org/package=ASSISTant) is an Rpackage for a novel group-sequential adaptive trial. The design ismotivated by…


data.table for beginners II[MP4] [1:07:19] [2017/07/13]
data.table for beginners II


Introduction to parallel computing with R[MP4] [1:26:13] [2017/07/13]
Introduction to parallel computing with R


Rcpp: From Simple Examples to Machine Learning II[MP4] [1:34:43] [2017/07/13]
Rcpp: From Simple Examples to Machine Learning II


factorMerger: a set of tools to support results from post hoc testing [MP4] [0:11:37] [2017/07/13]
useR!2017: factorMerger: a set of tools to support... ANOVA-likestatisticaltestsfordifferencesamonggroupsareavailableforalmostahundredyears. But for large number of groups the results from commonly…


papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the…[MP4] [0:18:03] [2017/07/13]
useR!2017: papr: Tinder for pre-prints, a Shiny App... papr is an R Shiny web application and social network for evaluating bioRxiv pre-prints. The app serves multiple purposes, allowing the user to…


Teaching psychometrics and analysing educational tests with **ShinyItemAnalysis** [MP4] [0:18:35] [2017/07/13]
useR!2017: Teaching psychometrics and analysing edu... Keywords: psychometrics, educational test, item response theory, shiny, RWebpages: https://CRAN.R-project.org/package=ShinyItemAnalysis,…


KEYNOTE: R tools for the analysis of complex heterogeneous data [MP4] [0:52:09] [2017/07/13]
useR!2017: KEYNOTE: R tools for the analysis of com... One of the important goals of modern statistics is to provide comprehensive and integrated inferential frameworks for data analysis (from…


Sponsor Talk EODA[MP4] [0:09:57] [2017/07/13]
Sponsor Talk EODA


Sponsor Talk Mango Solutions[MP4] [0:03:21] [2017/07/13]
Sponsor Talk Mango Solutions


KEYNOTE: Teaching data science to new useRs [MP4] [0:59:59] [2017/07/13]
useR!2017: KEYNOTE: Teaching data science to new us... Abstract: How can we effectively and efficiently teach statistical thinking and computation to students with little to no background in either?…


Efficient R Programming[MP4] [1:01:10] [2017/07/13]
Efficient R Programming


Sponsor Talk Rconsortium [MP4] [0:13:34] [2017/07/13]
Sponsor Talk Rconsortium


Sponsor Talk Oracle[MP4] [0:06:18] [2017/07/13]
Sponsor Talk Oracle


The analysis of R learning styles with R PLENARY[MP4] [0:22:04] [2017/07/13]
Keywords: R in education, Learning patterns, Learning stylesThe world of education is changing more than ever. In the university of the 21st century, there is no room for one-way education with a…


Community-based learning and knowledge sharing [MP4] [0:16:48] [2017/07/13]
useR!2017: Community-based learning and knowledge s... Keywords: Teaching, Knowledge Sharing, Best PracticesWebpage: https://github.com/rOpenGov/eduR is increasingly used to teach programming,…


Sponsor Talk Rstudio [MP4] [0:13:17] [2017/07/13]
Sponsor Talk Rstudio


A quasi-experiment for the influence of the user interface on the acceptance of R [MP4] [0:16:47] [2017/07/13]
useR!2017: A quasi-experiment for the influence of... Keywords: Teaching Statistics using R, User Interface, Technology Acceptance ModelTeaching computation with R within statistic education is…


Statistics in Action with R: an educative platform [MP4] [0:15:20] [2017/07/13]
useR!2017: Statistics in Action with R: an educativ... Keywords: Hypothesis testing, regression model, mixed effects model, mixture model, change point detectionWebpage: http://sia.webpopix.org/We are…


Data Carpentry: Teaching Reproducible Data Driven Discovery [MP4] [0:16:31] [2017/07/13]
useR!2017: Data Carpentry: Teaching Reproducible Da... Keywords: reproducible research, rmarkdown, open science, training, githubWebpages: https://datacarpentry.orgData Carpentry is a non-profit…


Navigating the R package universe [MP4] [0:31:31] [2017/07/13]
useR!2017: Navigating the R package universe There will be a special session Wed. July 5, from 17:00 - 18:30 in the main meeting room to provide for discussion and hopefully team-building for the…


Sponsor Talk - Data Camp [MP4] [0:13:11] [2017/07/13]
Sponsor Talk - Data Camp


Exploring and presenting maps with **tmap** [MP4] [0:16:46] [2017/07/13]
useR!2017: Exploring and presenting maps with **tma... Keywords: Visualisation, maps, interaction, explorationWebpages: https://CRAN.R-project.org/package=tmap, https://github.com/mtennekes/tmapA map…


Can you keep a secret? [MP4] [0:16:59] [2017/07/13]
useR!2017: Can you keep a secret? Can you keep a secret? Andrie de Vries^1 and Gábor Csárdi^2 1. Senior Programme Manager, Algorithms and Data Science, Microsoft 2. Independent consultantKeywords:…


Dose-response analysis using R II[MP4] [1:31:19] [2017/07/13]
Dose-response analysis using R II


Rcpp: From Simple Examples to Machine Learning[MP4] [1:30:15] [2017/07/13]
Rcpp: From Simple Examples to Machine Learning


We R What We Ask: The Landscape of R Users on Stack Overflow [MP4] [0:17:49] [2017/07/13]
useR!2017: We R What We Ask: The Landscape of R Use... Since its founding in 2008, the question and answer website Stack Overflow has been a valuable resource for the R community, collecting more than…


Diversity of the R Community [MP4] [0:16:38] [2017/07/13]
useR!2017: Diversity of the R Community Keywords: R foundation, R community, gender gap, diversity, useR! conferencesWebpages: https://forwards.github.io/R Forwards is a R Foundation taskforce which…


How the R Consortium is Supporting the R Community[MP4] [0:15:23] [2017/07/13]
useR!2017: How the R Consortium is Supporting the R... There is a lot happening at R Consortium! We now have 15 members, including the Gordon and Betty Moore Foundation which joined this year as a…


We R a Community-making high quality courses for high education accessible for all:The >eR-Biostat…[MP4] [0:15:00] [2017/07/13]
1. Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Center for Statistics, Hasselt University, 3590 Diepenbeek, Belgium2. Department of Epidemiology and…


R-Ladies Global Community[MP4] [0:18:22] [2017/07/13]
The _R_ community suffers from an underrepresentation of women* in every role and area of participation: whether as leaders (no women on the _R_ core team, 5 of 37 female ordinary members of the…


Maps are data, so why plot data on a map?[MP4] [0:16:28] [2017/07/13]
R, like any and every other system for analysing and visualising spatial data, has a host of ways to overlay data on maps (or the other way around). Maps nevertheless contain data—nay, maps are…


FFTrees: An R package to create, visualise and use fast and frugal decision trees [MP4] [0:21:03] [2017/07/13]
useR!2017: FFTrees: An R package to create, visuali... Keywords: decision trees, decision making, package, visualizationWebpages: https://cran.r-project.org/web/packages/FFTrees/,…


*jamovi*: a spreadsheet for R [MP4] [0:15:18] [2017/07/13]
useR!2017: *jamovi*: a spreadsheet for R Keywords: Spreadsheet, User-interface, Learning RWebpages: https://www.jamovi.org, https://CRAN.R-project.org/package=jmvIn spite of the availability of the…


The growing popularity of R in data journalism [MP4] [0:15:46] [2017/07/13]
useR!2017: The growing popularity of R in data jour... In this talk, Timo Grossenbacher, data journalist at Swiss Public Broadcast and creator of Rddj.info, will show that R is becoming more and more…


Show Me Your Model: tools for visualisation of statistical models [MP4] [0:16:42] [2017/07/13]
useR!2017: Show Me Your Model: tools for visualisat... Keywords: Model visualisation, model exploration, structure visualisation, grammar of model visualisationThe ggplot2 (Wickham 2009) package…


Quantitative fisheries advice using R and FLR [MP4] [0:15:06] [2017/07/13]
useR!2017: Quantitative fisheries advice using R an... Keywords: Quantitative Fisheries Science, Common Fisheries Policy, Management Strategy Evaluation, advice, simulationWebpages:…


Sports Betting and R: How R is changing the sports betting world [MP4] [0:13:16] [2017/07/13]
useR!2017: Sports Betting and R: How R is changing... Title Sports Betting and R: How R is changing the sports betting world Speaker: Marco Blume Keywords: Sports Betting, Sports Analytics, Vegas,…


KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative…[MP4] [1:03:48] [2017/07/13]
useR!2017: KEYNOTE: Dose-response analysis: conside... The publications on dose-response analysis in the recent years is fairly clear divided into modelling (ie assuming dose as a quantitative…


Sponsor Talk Open Analytics [MP4] [0:12:55] [2017/07/13]
Sponsor Talk Open Analytics


When is an Outlier an Outlier? The O3 plot [MP4] [0:16:11] [2017/07/13]
useR!2017: When is an Outlier an Outlier? The O3 pl... Whether a case might be identified as an outlier depends on the other cases in the dataset and on the variables available. A case can stand out…


Analysis of German Fuel Prices with R[MP4] [0:13:27] [2017/07/13]
useR!2017: Analysis of German Fuel Prices with R Keywords: Analytics, Marketing, tidyverse, purrr, ggplot2, rgdal, sp and moreWebpages: https://creativecommons.tankerkoenig.de (sic),…


KEYNOTE: Structural Equation Modeling: models, software and stories[MP4] [1:06:51] [2017/07/13]
In the social sciences, structural equation modeling (SEM) is often considered to be the mother of all statistical modeling. It includes univariate and multivariate regression models, generalized…


Sponsor Talk - Microsoft[MP4] [0:22:06] [2017/07/13]
Sponsor Talk - Microsoft


Taking Advantage of the Byte Code Compiler [MP4] [0:15:21] [2017/07/12]
useR!2017: Taking Advantage of the Byte Code Compil... Keywords: Compiler, Byte-Code, Interpreter, PerformanceWebpages: http://www.stat.uiowa.edu/~luke/R/compiler/compiler.pdfSince version 2.13, R…


Dynamic Assessment of Microbial Ecology (*DAME*): A Shiny App for Analysis and Visualization of…[MP4] [0:15:29] [2017/07/12]
useR!2017: Dynamic Assessment of Microbial Ecology... Keywords: Shiny, microbiome, sequencing, ecology, 16S rRNAWebpages: https://acnc-shinyapps.shinyapps.io/DAME/,…


Detecting eQTLs from high-dimensional sequencing data using recount2 [MP4] [0:18:05] [2017/07/12]
useR!2017: Detecting eQTLs from high-dimensional se... Keywords: eQTLs, RNA-seq, recount2, Batch Effect, gEUVADISWebpages: https://jhubiostatistics.shinyapps.io/recount/,…


IntegratedJM - an R package to Jointly Model the Gene-Expression and Bioassay Data, Taking Care of…[MP4] [0:13:55] [2017/07/12]
useR!2017: IntegratedJM - an R package to Jointly M... Keywords: Bioactivity, Biomarkers, Chemical Structure, Joint Model, Multi-sourceWebpages:…


mapedit - interactive manipulation of spatial objects [MP4] [0:15:30] [2017/07/12]
useR!2017: mapedit - interactive manipulation of sp... Keywords: Spatial analysis, Interactive, VisualizationWebpages: https://github.com/r-spatial/mapedit,…


Visual funnel plot inference for meta-analysis [MP4] [0:14:21] [2017/07/12]
useR!2017: Visual funnel plot inference for meta-an... Keywords: meta-analysis, funnel plot, visual inference, publication bias, small study effectsWebpages:…


Package ggiraph: a ggplot2 Extension for Interactive Graphics [MP4] [0:13:51] [2017/07/12]
useR!2017: Package ggiraph: a ggplot2 Extension for... Keywords: visualization, interactiveWebpages: https://CRAN.R-project.org/package=ggiraph, https://davidgohel.github.io/ggiraph/With rise of data…


Interactive graphs for blind and print disabled people [MP4] [0:14:11] [2017/07/12]
useR!2017: Interactive graphs for blind and print d... Keywords: accessibility, exploration, interactivityDescriptions of graphs using long text strings are difficult for blind people and others with…


jug: Building Web APIs for R [MP4] [0:12:45] [2017/07/12]
useR!2017: jug: Building Web APIs for R Keywords: REST, API, web, httpWebpages: https://CRAN.R-project.org/package=jug, https://github.com/Bart6114/jugjug is a web framework for R. The framework helps…


Scraping data with rvest and purrr [MP4] [0:13:35] [2017/07/12]
useR!2017: Scraping data with rvest and purrr Keywords: rvest, purrr, webscraping, fantasy, sportsWebpages: http://www.maxhumber.comReally interesting data never actually lives inside of a tidy csv.…


Depth and depth-based classification with R package **ddalpha** [MP4] [0:16:59] [2017/07/12]
useR!2017: Depth and depth-based classification wit... Keywords: Data depth, Supervised classification, DD-plot, Outsiders, VisualizationWebpages: https://cran.r-project.org/package=ddalphaFollowing…


Computer Vision and Image Recognition algorithms for R users [MP4] [0:16:27] [2017/07/12]
useR!2017: Computer Vision and Image Recognition al... **Keywords**: Computer Vision, Image recognition, Object detection, Image feature engineering**Webpages**: https://github.com/bnosac/imageR has…


R4ML: A Scalable R for Machine Learning [MP4] [0:17:38] [2017/07/12]
useR!2017: R4ML: A Scalable R for Machine Learning Keywords: R, Distributed/Scalable, Machine Learning, SparkR, SystemMLWebpages: https://github.com/SparkTC/R4MLR is the de facto standard for…


Deep Learning for Natural Language Processing in R [MP4] [0:15:39] [2017/07/12]
useR!2017: Deep Learning for Natural Language Proce... Keywords: Deep Learning, Natural Language ProcessingWebpages:…


ReinforcementLearning: A package for replicating human behavior in R [MP4] [0:15:07] [2017/07/12]
useR!2017: ReinforcementLearning: A package for rep... Keywords: Reinforcement Learning, Human-Like Learning, Experience Replay, Q-Learning, Decision AnalyticsWebpages:…


Room 3.02 Lightning Talks[MP4] [0:53:24] [2017/07/12]
useR!2017: Lightning Talks (Room 3.02) 5:30pm • R Blogging with blogdown and GitHub 5:35pm • **redmineR** and the story of automating *useR!2017* abstract review process 5:40pm • The current state of…


Automatically archiving reproducible studies with Docker [MP4] [0:18:59] [2017/07/12]
useR!2017: Automatically archiving reproducible stu... Keywords: Docker, Reproducible Research, Open ScienceWebpage: https://github.com/o2r-project/containerit/Reproducibility of computations is…


Show me the errors you didn't look for [MP4] [0:17:04] [2017/07/12]
useR!2017: Show me the errors you didn't look for Keywords: Data cleaning, Quality control, Reproducible research, Data validationWebpages: https://CRAN.R-project.org/package=dataMaid,…


codebookr: Codebooks in *R* [MP4] [0:14:38] [2017/07/12]
useR!2017: codebookr: Codebooks in *R* Keywords: code book, data dictionary, data cleaning, validation, automationWebpages: https://github.com/petebaker/codebookr,…


Clouds, Containers and R, towards a global hub for reproducible and collaborative data science [MP4] [0:17:39] [2017/07/12]
useR!2017: Clouds, Containers and R, towards a glob... RosettaHUB aims at establishing a global open data science and open education meta cloud centered on usability, reproducibility, auditability,…


Hosting Data Packages via `drat`: A Case Study with Hurricane Exposure Data [MP4] [0:18:14] [2017/07/12]
useR!2017: Hosting Data Packages via `drat`: A Case... R packages offer the chance to distribute large datasets while also providing functions for exploring and working with that data. However, data…


Neural Embeddings and NLP with R and Spark [MP4] [0:15:05] [2017/07/12]
useR!2017: Neural Embeddings and NLP with R and Spa... Keywords: NLP, Spark, Deep Learning, Network ScienceWebpages: https://github.com/akzaidiNeural embeddings (Bengio et al. (2003), Olah (2014)) aim…


Text Analysis and Text Mining Using R [MP4] [0:17:10] [2017/07/12]
useR!2017: Text Analysis and Text Mining Using R Keywords: text analysis, text mining, machine learning, social mediaSummary A useR! Talk about text analysis and text mining using R. I would cover the…


A Tidy Data Model for Natural Language Processing [MP4] [0:16:25] [2017/07/12]
useR!2017: A Tidy Data Model for Natural Language P... This talk introduces the R package cleanNLP, which provides a set of fast tools for converting a textual corpus into a set of normalized tables.…


manifestoR - a tool for data journalists, a source for text miners and a prototype for…[MP4] [0:15:50] [2017/07/12]
useR!2017: manifestoR - a tool for data journalists... Keywords: political science, reproducibility, corpus, data journalism, text miningWebpages: https://CRAN.R-project.org/package=manifestor,…


Text mining, the tidy way [MP4] [0:17:54] [2017/07/12]
useR!2017: Text mining, the tidy way Keywords: text mining, natural language processing, tidy data, sentiment analysisWebpages: https://CRAN.R-project.org/package=tidytext,…


Developing and deploying large scale Shiny applications for non-life insurance [MP4] [0:18:12] [2017/07/12]
useR!2017: Developing and deploying large scale Shi... Keywords: Shiny modules, HTMLWidgets, HTMLTemplates, openCPU, NoSQL, DockerWebpages: https://www.friss.eu/en/FRISS is a Dutch, fast growing…


ShinyProxy [MP4] [0:16:59] [2017/07/12]
useR!2017: ShinyProxy Keywords: Shiny, enterprise computing, open sourceWebpages: https://shinyproxy.ioShiny is nice technology to write interactive R-based applications. It has been rapidly adopted…


Interacting with databases from Shiny [MP4] [0:16:55] [2017/07/12]
useR!2017: Interacting with databases from Shiny Keywords: databases, shiny, DBI, dplyr, poolWebpages: http://shiny.rstudio.com/articles/overview.html, https://github.com/rstudio/poolConnecting to an…


bradio: Add data music widgets to your business intelligence dashboards [MP4] [0:17:02] [2017/07/12]
useR!2017: bradio: Add data music widgets to your b... Keywords: music, sonification, ShinyWebpages: http://src.thomaslevine.com/bradio/, https://thomaslevine.com/!/data-music/Recent years have…


How we built a Shiny App for 700 users? [MP4] [0:19:18] [2017/07/12]
useR!2017: How we built a Shiny App for 700 users? Keywords: Shiny, shiny.semantic, UI, UX, application performance, analytics consultingShiny has proved itself a great tool for communicating data…


**rTRNG**: Advanced Parallel Random Number Generation in R [MP4] [0:17:26] [2017/07/12]
useR!2017: **rTRNG**: Advanced Parallel Random Numb... Keywords: Random Number Generation, Monte Carlo, Parallel Execution, ReproducibilityWebpages: https://github.com/miraisolutions/rTRNGMonte Carlo…


R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems [MP4] [0:12:51] [2017/07/12]
useR!2017: R goes Mobile: Efficient Scheduling for... Keywords: Parallelization, Resource-Aware Scheduling, Hyperparameter Tuning, Embedded SystemsWebpages:…


Rc2: an Environment for Running R and Spark in Docker Containers [MP4] [0:18:31] [2017/07/12]
useR!2017: Rc$^2$: an Environment for Running R and... Keywords: R, Spark, Docker containers, Kubernetes, Cloud computingRc\(^2\) (R cloud computing) is a containerized environment for running R,…


Architectural Elements Enabling R for Big Data [MP4] [0:16:07] [2017/07/12]
useR!2017: Architectural Elements Enabling R for Bi... Keywords: Big Data, Machine Learning, Scalability, High Perforance Computing, Graph AnalyticsWebpages: https://oracle.com/goto/RBig Data garners…


Stream processing with R in AWS [MP4] [0:18:24] [2017/07/12]
useR!2017: Stream processing with R in AWS Keywords: stream processing, big data, ETL, scaleWebpages: https://CRAN.R-project.org/package=AWR, https://CRAN.R-project.org/package=AWR.KMS,…


The R6 Class System [MP4] [0:18:53] [2017/07/12]
useR!2017: The R6 Class System Keywords: Classes, Object-oriented programming, R6, Reference classesWebpages: https://CRAN.R-project.org/package=R6, https://github.com/wch/R6R6 is an implementation of…


RL10N: Translating Error Messages & Warnings [MP4] [0:17:44] [2017/07/12]
useR!2017: RL10N: Translating Error Messages & Warn... Keywords: package development, localization, translation, errors and warnings, R ConsortiumWebpages:…


Collaborative Development in R: A Case Study with the sparsebn package [MP4] [0:14:08] [2017/07/12]
useR!2017: Collaborative Development in R: A Case S... With the massive popularity of R in the statistics and data science communities along with the recent movement towards open development and…


Ensemble packages with user friendly interface: an added value for the R community [MP4] [0:16:41] [2017/07/12]
useR!2017: Ensemble packages with user friendly int... Keywords: Ensemble package, user-friendly interface, gene expression analysis, biclusteringWebpages:…


Updates to the Documentation System for R [MP4] [0:18:12] [2017/07/12]
useR!2017: Updates to the Documentation System for... 1. Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City , UTFunding: This work is supported by funding…


OpenML: Connecting R to the Machine Learning Platform OpenML II[MP4] [0:52:13] [2017/07/12]
OpenML: Connecting R to the Machine Learning Platform OpenML II


OpenML: Connecting R to the Machine Learning Platform OpenML[MP4] [1:23:15] [2017/07/12]
OpenML: Connecting R to the Machine Learning Platform OpenML


Introduction to Natural Language Processing with R II[MP4] [1:15:00] [2017/07/12]
Introduction to Natural Language Processing with R II


Introduction to Natural Language Processing with R[MP4] [1:22:13] [2017/07/12]
Introduction to Natural Language Processing with R


Solving iteration problems with purrr II[MP4] [1:22:49] [2017/07/12]
Solving iteration problems with purrr II


Solving iteration problems with purrr[MP4] [1:32:23] [2017/07/12]
Solving iteration problems with purrr


Markov-Switching GARCH Models in R: The MSGARCH Package [MP4] [0:15:55] [2017/07/11]
useR!2017: Markov-Switching GARCH Models in R: The... Keywords: GARCH, MSGARCH, Markov–switching, conditional volatility, risk managementWebpages: https://CRAN.R-project.org/package=MSGARCH,…


Interactive bullwhip effect exploration using SCperf and Shiny [MP4] [0:16:02] [2017/07/11]
useR!2017: Interactive bullwhip effect exploration... Abstract: The bullwhip effect, an increase in demand variability along the supply chain, is pointed out as a key driver of inefficiencies associated…


Actuarial and statistical aspects of reinsurance in R [MP4] [0:14:15] [2017/07/11]
useR!2017: Actuarial and statistical aspects of rei... Keywords: extreme value theory, censoring, splicing, risk measuresWebpages: https://CRAN.R-project.org/package=ReIns,…


Transformation Forests [MP4] [0:16:19] [2017/07/11]
Keywords: random forest, transformation model, quantile regression forest, conditional distribution, conditional quantilesWebpages: https://R-forge.R-project.org/projects/ctm…


Room 2.02 Lightning Talks[MP4] [0:50:35] [2017/07/11]
useR!2017: Lightning Talks (Room 2.02) 5:30pm • R in a Pharmaceutical Company 5:35pm • Using R to Analyze Healthcare Cost of Older Patients Using Personal Emergency Response Service 5:40pm •…


R and Haskell: Combining the best of two worlds [MP4] [0:14:45] [2017/07/11]
useR!2017: R and Haskell: Combining the best of two... Keywords: HaskellR, Haskell, InteroperabilitySurely there's no need to explain to useR! attendees what's so great about R! Haskell, on the other…


[GNU-R-on-a-Programmable-Logic-Controller-PLC-in-an-Embedded-Linux-Environment]


Performance Benchmarking of the R Programming Environment on Knight's Landing [MP4] [0:19:32] [2017/07/11]
useR!2017: Performance Benchmarking of the R Progra... Keywords: Multicore architectures, benchmarking, scalability, Xeon PhiWe present performance results obtained with a new performance benchmark of…


An LLVM-based Compiler Toolkit for R [MP4] [0:20:44] [2017/07/11]
useR!2017: An LLVM-based Compiler Toolkit for R Keywords: compiler, code analysis, performanceWebpages: https://github.com/nick-ulle/rstatic, https://github.com/duncantl/RllvmR allows useRs to focus…


The **renjin** package: Painless Just-in-time Compilation for High Performance R [MP4] [0:19:01] [2017/07/11]
useR!2017: The **renjin** package: Painless Just-in... Keywords: performance, compliation, RenjinWebpages: http://docs.renjin.org/en/latest/package/R is a highly dynamic language that has developed,…


Implementing Predictive Analytics projects in corporate environments [MP4] [0:11:49] [2017/07/11]
useR!2017: Implementing Predictive Analytics projec... Keywords: R in production, business applicationsINWT Statistics is a company specialised on services around Predictive Analytics. For our clients…


Beyond Prototyping: Best practices for R in critical enterprise environments [MP4] [0:14:43] [2017/07/11]
useR!2017: Beyond Prototyping: Best practices for R... Keywords: data science, business, industry, best practice, critical enterprise environments, R,Over the last couple of years, R has become…


Too good for your own good: Shiny prototypes out of control [MP4] [0:17:00] [2017/07/11]
useR!2017: Too good for your own good: Shiny protot... Keywords: Shiny, Project Management, Product Management, Best Practice, Stakeholder ManagementShiny development is exploding in the R world,…


The use of R in predictive maintenance: A use case with TRUMPF Laser GmbH [MP4] [0:17:43] [2017/07/11]
useR!2017: The use of R in predictive maintenance:... Keywords: data science, predictive maintenance, industry 4.0, business, industry, use case,The buzz for industry 4.0 continues – digitalizing…


The Revised Sequential Parameter Optimization Toolbox [MP4] [0:16:29] [2017/07/11]
useR!2017: The Revised Sequential Parameter Optimiz... Keywords: optimization, tuning, surrogate model, computer experimentsWebpages: https://CRAN.R-project.org/package=SPOTReal-world optimization…


mlrHyperopt: Effortless and collaborative hyperparameter optimization experiments [MP4] [0:18:17] [2017/07/11]
useR!2017: mlrHyperopt: Effortless and collaborativ... Keywords: machine learning, hyperparameter optimization, tuning, classification, networked scienceWebpages:…


Distributional Trees and Forests [MP4] [0:16:55] [2017/07/11]
useR!2017: Distributional Trees and Forests Keywords: Distributional regression, recursive partitioning, decision trees, random forestsWebpages: https://R-Forge.R-project.org/projects/partykit/In…


A Benchmark of Open Source Tools for Machine Learning from R [MP4] [0:16:05] [2017/07/11]
useR!2017: A Benchmark of Open Source Tools for Mac... Keywords: machine learning, predictive modeling, predictive accuracy, scalability, speedWebpages: https://github.com/szilard/benchm-mlBinary…


R package development with R-hub II[MP4] [0:55:11] [2017/07/11]
R package development with R-hub II


R package development with R-hub[MP4] [1:20:12] [2017/07/11]
R package development with R-hub


Data Carpentry: Open and Reproducible Research with R II[MP4] [1:11:48] [2017/07/11]
Data Carpentry: Open and Reproducible Research with R


Data Carpentry: Open and Reproducible Research with R[MP4] [1:31:07] [2017/07/11]
Data Carpentry: Open and Reproducible Research with R