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Titanic – Machine Learning from Disaster (Part 1)
(This article was first published on R – Networkx, and kindly contributed to R-bloggers) Synopsis In the challenge Titanic – Machine Learning from Disaster from Kaggle, you need to predict of what...
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It’s not the p-values’ fault – reflections on the recent ASA statement...
(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) Joint post by Yoav Benjamini and Tal Galili. The post highlights points raised by Yoav in his official...
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R 3.2.4 is released
(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version...
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R for Publication by Page Piccinini
(This article was first published on DataScience+, and kindly contributed to R-bloggers) The goal of this course is to give you the skills to do the statistics that are in current published papers,...
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Additive modelling global temperature time series: revisited
(This article was first published on From the Bottom of the Heap - R, and kindly contributed to R-bloggers) Quite some time ago, back in 2011, I wrote a post that used an additive model to fit a...
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(This article was first published on RSS Feed, and kindly contributed to R-bloggers) Salvino A. Salvaggio [1] [2] [3] In this blog I publish data analysis cases based on the R statistical language. No...
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Missing Value Treatment
(This article was first published on DataScience+, and kindly contributed to R-bloggers) Missing values in data is a common phenomenon in real world problems. Knowing how to handle missing values...
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The five element ninjas approach to teaching design matrices
(This article was first published on Maxwell B. Joseph, and kindly contributed to R-bloggers) Design matrices unite seemingly disparate statistical methods, including linear regression, ANOVA,...
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Introduction to R for Data Science :: Session 1
(This article was first published on The Exactness of Mind, and kindly contributed to R-bloggers) Welcome to Introduction to R for Data Science Session 1! The course is co-organized by Data Science...
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Bike Rental Demand Estimation with Microsoft R Server
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Katherine Zhao, Hong Lu, Zhongmou Li, Data Scientists at Microsoft Bicycle rental has become popular as a...
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Absence of evidence is not evidence of absence: Testing for equivalence
(This article was first published on The 20% Statistician, and kindly contributed to R-bloggers) When you find p > 0.05, you did not observe surprising data, assuming there is no true effect. You...
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R profiling
(This article was first published on R – ipub, and kindly contributed to R-bloggers) Profiling in R R has a built in performance and memory profiling facility: Rprof. Type ?Rprof into your console...
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Introduction to R for Data Science :: Session 7 [Multiple Linear Regression...
(This article was first published on The Exactness of Mind, and kindly contributed to R-bloggers) Welcome to Introduction to R for Data Science Session 7: Multiple Regression + Dummy Coding, Partial...
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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression
(This article was first published on DataScience+, and kindly contributed to R-bloggers) Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also...
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