Monthly Archive: August 2017
Over the years I’ve produced quite a lot of code for power calculations and simulations of different longitudinal linear mixed models. Over the summer I bundled together these calculations for...continue reading.
Introduction Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too advanced. This book...continue reading.
– Its been 8 months since I switched from Windows 10 to Linux Mint. In this post I’ll talk about my experience as a scholar and R user in this...continue reading.
– Whenever I buy a new computer or format an old one, I have the problem of reinstalling my R packages. If you are a heavy user, you will likely...continue reading.
I’ve been developing a course at DataCamp over the past several months, and I am happy to announce that it is now launched! The course is Sentiment Analysis in R:...continue reading.
routr is now available on CRAN, and I couldn’t be happier. It’s release marks the completion of an idea that stretches back longer than my attempts to bring network visualization...continue reading.
I have a new visual essay up at The Pudding today, using text mining to explore how women are portrayed in film. The R code behind this analysis in publicly...continue reading.
After blogging break caused by writing research papers, I managed to secure time to write something new about time series forecasting. This time I want to share with you my...continue reading.
The dropout approach developed by Hinton has been widely employed in deep learnings to prevent the deep neural network from overfitting, as shown in https://statcompute.wordpress.com/2017/01/02/dropout-regularization-in-deep-neural-networks. In the paper http://proceedings.mlr.press/v38/korlakaivinayak15.pdf, the...continue reading.
In the previous post (https://statcompute.wordpress.com/2017/06/29/model-operational-loss-directly-with-tweedie-glm), it has been explained why we should consider modeling operational losses for non-material UoMs directly with Tweedie models. However, for material UoMs with significant losses,...continue reading.