How to do Repeated Measures ANOVAs in R

Ha! Got ya! Trying to run some old school ANOVAs hum? I’ll show you even better! There is now a tremendous amount of data showing the inadequacy of ANOVAs as a statistical procedure (Camilli, 1987; Levy, 1978; Vasey, 1987; Chang, 2009). Instead, many papers suggest moving toward the mixed-modelling framework (Kristensen, 2004; Jaeger, 2008), which was shown to be more flexible, accurate, powerful and suited for psychological data. Using this framework, we will see how we can very simply answer our questions with R and the psycho package. Let’s take the example dataset included in the psycho package. library(psycho) library(tidyverse) df <- psycho::emotion %>% select(Participant_ID, Participant_Sex, Emotion_Condition, Subjective_Valence, Recall) summary(df) Participant_ID Participant_Sex Emotion_Condition Subjective_Valence 10S : 48 Female:720 Negative:456 Min. :-100.000 11S : 48 Male :192 Neutral :456 1st Qu.: -65.104 12S : 48 Median : -2.604 13S : 48…
Original Post: How to do Repeated Measures ANOVAs in R

RcppArmadillo 0.8.500.0

RcppArmadillo release 0.8.500.0, originally prepared and uploaded on April 21, has hit CRAN today (after having already been available via the RcppCore drat repo). A corresponding Debian release will be prepared as well. This RcppArmadillo release contains Armadillo release 8.500.0 with a number of rather nice changes (see below for details), and continues our normal bi-monthly CRAN release cycle. Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 472 other packages on CRAN. A high-level summary of changes follows. Changes in RcppArmadillo version 0.8.500.0 (2018-04-21) Upgraded to Armadillo release 8.500 (Caffeine Raider) faster handling of sparse matrices by kron() and repmat() faster transpose…
Original Post: RcppArmadillo 0.8.500.0

17 Jobs for R users from around the world (2018-04-30)

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 Freelance Freelance Project: R Libraries Install on Amazon AWS EC2 WS Anywhere 27 Apr 2018 Full-Time Associate, Data Analytics National Network for Safe Communities (NNSC>) – Posted by nnsc New York New York, United States 18 Apr 2018 Full-Time Senior Research Associate Kellogg Research Support – Posted by lorbos Evanston Illinois, United States 17 Apr 2018 Full-Time Empirical Research Fellow Kellogg School of Management (Northwestern University)– Posted by lorbos Evanston Illinois, United States 17 Apr 2018 Part-Time Data Scientist Alchemy – Posted by Andreas Voniatis Anywhere 7…
Original Post: 17 Jobs for R users from around the world (2018-04-30)

Microsoft R Open 3.4.4 now available

An update to Microsoft R Open (MRO) is now available for download on Windows, Mac and Linux. This release upgrades the R language engine to version 3.4.4, which addresses some minor issues with timezone detection and some edge cases in some statistics functions. As a maintenance release, it’s backwards-compatible with scripts and packages from the prior release of MRO. MRO 3.4.4 points to a fixed CRAN snapshot taken on April 1 2018, and you can see some highlights of new packages released since the prior version of MRO on the Spotlights page. As always, you can use the built-in checkpoint package to access packages from an earlier date (for reproducibility) or a later date (to access new and updated packages). Looking ahead, the next update based on R 3.5.0 has started the build and test process. Microsoft R Open 3.5.0 is scheduled for release…
Original Post: Microsoft R Open 3.4.4 now available

Microsoft R Open 3.4.4 now available

An update to Microsoft R Open (MRO) is now available for download on Windows, Mac and Linux. This release upgrades the R language engine to version 3.4.4, which addresses some minor issues with timezone detection and some edge cases in some statistics functions. As a maintenance release, it’s backwards-compatible with scripts and packages from the prior release of MRO. MRO 3.4.4 points to a fixed CRAN snapshot taken on April 1 2018, and you can see some highlights of new packages released since the prior version of MRO on the Spotlights page. As always, you can use the built-in checkpoint package to access packages from an earlier date (for reproducibility) or a later date (to access new and updated packages). Looking ahead, the next update based on R 3.5.0 has started the build and test process. Microsoft R Open 3.5.0 is scheduled for release…
Original Post: Microsoft R Open 3.4.4 now available

Train AI 2018: Garry Kasparov, Andrej Karpathy keynotes and the best in AI

[unable to retrieve full-text content]On May 9th, Figure Eight’s co-founder Lukas Biewald will lead an Introduction to Deep Learning workshop in San Francisco. Don’t miss this chance to learn from the best in AI. Use code KDNuggets30 to get 30% off the registration fee!
Original Post: Train AI 2018: Garry Kasparov, Andrej Karpathy keynotes and the best in AI

Announcing Open Images V4 and the ECCV 2018 Open Images Challenge

Posted by Vittorio Ferrari, Research Scientist, Machine PerceptionIn 2016, we introduced Open Images, a collaborative release of ~9 million images annotated with labels spanning thousands of object categories. Since its initial release, we’ve been hard at work updating and refining the dataset, in order to provide a useful resource for the computer vision community to develop new modelsToday, we are happy to announce Open Images V4, containing 15.4M bounding-boxes for 600 categories on 1.9M images, making it the largest existing dataset with object location annotations. The boxes have been largely manually drawn by professional annotators to ensure accuracy and consistency. The images are very diverse and often contain complex scenes with several objects (8 per image on average; visualizer). In conjunction with this release, we are also introducing the Open Images Challenge, a new object detection challenge to be held…
Original Post: Announcing Open Images V4 and the ECCV 2018 Open Images Challenge

Google at ICLR 2018

Posted by Jeff Dean, Google Senior Fellow, Head of Google Research and Machine IntelligenceThis week, Vancouver, Canada hosts the 6th International Conference on Learning Representations (ICLR 2018), a conference focused on how one can learn meaningful and useful representations of data for machine learning. ICLR includes conference and workshop tracks, with invited talks along with oral and poster presentations of some of the latest research on deep learning, metric learning, kernel learning, compositional models, non-linear structured prediction, and issues regarding non-convex optimization.At the forefront of innovation in cutting-edge technology in neural networks and deep learning, Google focuses on both theory and application, developing learning approaches to understand and generalize. As Platinum Sponsor of ICLR 2018, Google will have a strong presence with over 130 researchers attending, contributing to and learning from the broader academic research community by presenting papers and…
Original Post: Google at ICLR 2018