Install R, Python and Pelican Blog Tool on Windows

August 27, 2017
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Motivation On a previous post I explained how to install R and Python effortlessy. Now I bought a Windows machine and this post concentrates a lot of reading and the experiments I made until I configures everything in order to write this blog post. I use Pelican for my blog, so I had to do a few steps I wasn't aware...

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Use R and Pelican on Windows

August 27, 2017
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Motivation On a previous post I explained how to install R and Python effortlessy. Now I bought a Windows machine and this post gathers a lot of reading and experiments I made until I could set everything correctly to write this blog post. I use Pelican for my blog, so I had to do a few steps I wasn't aware of...

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Marginal effects for negative binomial mixed effects models (glmer.nb and glmmTMB) #rstats

August 27, 2017
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Marginal effects for negative binomial mixed effects models (glmer.nb and glmmTMB) #rstats

Here’s a small preview of forthcoming features in the ggeffects-package, which are already available in the GitHub-version: For marginal effects from models fitted with glmmTMB() or glmer() resp. glmer.nb(), confidence intervals are now also computed. If you want to test these features, simply install the package from GitHub: library(devtools) devtools::install_github("strengejacke/ggeffects") Here are three examples: library(glmmTMB)

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WoE and IV Variable Screening with {Information} in R

August 27, 2017
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WoE and IV Variable Screening with {Information} in R

A short note on information-theoretic variable screening in R w. {information}. Variable screening comes as an important step in the contemporary EDA for predictive modeling: what can we tell about the nature of the relationships between a set of predictors and the dependent before entering the modeling phase? Can we infer something about the predictive power of the independent variables...

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NYC Citi Bike Visualization – A Hint of Future Transportation

August 26, 2017
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NYC Citi Bike Visualization – A Hint of Future Transportation

Introduction Like all other sharing systems,  Airbnb the housing sharing system, Uber the car sharing system, Citi Bike is the network of bicycle rental stations intended The post NYC Citi Bike Visualization - A Hint of Future Transportation appeared first on NYC Data Science Academy Blog.

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Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

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Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

Read more »

Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

Read more »

Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-7)

August 26, 2017
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Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-7)

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access Related exercise sets: Hacking statistics...

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wrapr: R Code Sweeteners

August 25, 2017
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wrapr: R Code Sweeteners

wrapr is an R package that supplies powerful tools for writing and debugging R code. Primary wrapr services include: let() %.__% (dot arrow pipe) := (named map builder) λ() (anonymous function builder) DebugFnW() let() let() allows execution of arbitrary code with substituted variable names (note this is subtly different than binding values for names as … Continue reading wrapr:...

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Unbottling “.msg” Files in R

August 25, 2017
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Unbottling “.msg” Files in R

There was a discussion on Twitter about the need to read in “.msg” files using R. The “MSG” file format is one of the many binary abominations created by Microsoft to lock folks and users into their platform and tools. Thankfully, they (eventually) provided documentation for the MSG file format which helped me throw together... Continue reading →

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Tidy evaluation, most common actions

August 25, 2017
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Tidy evaluation is a bit challenging to get your head around. Even after reading programming with dplyr several times, I still struggle when creating functions from time to time. I made a small summary of the most common actions I perform, so I don’t have to dig in the vignettes and on stackoverflow over and over. Each is accompanied...

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Stan Weekly Roundup, 25 August 2017

August 25, 2017
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Stan Weekly Roundup, 25 August 2017

This week, the entire Columbia portion of the Stan team is out of the office and we didn’t have an in-person/online meeting this Thursday. Mitzi and I are on vacation, and everyone else is either teaching, TA-ing, or attending the Stan course. Luckily for this report, there’s been some great activity out of the meeting The post Stan Weekly...

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Tips and tricks on using R to query data in Power BI

August 25, 2017
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In Power BI, the dashboarding and reporting tool, you can use R to filter, transform, or restructure data via the Query Editor. For example, you could use the mice package to impute missing values, or use the tidytext package to assign sentiment scores to text inputs. As Imke Feldmann explains, there are lots of useful tricks you can accomplish...

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How much will that Texas rain be

August 25, 2017
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How much will that Texas rain be

PUTTING 35 INCHES OF RAIN IN PERSPECTIVE We are always interested in putting numbers into perspective, so we were interested in this article in which they put the Hurricane Harvey’s rain into perspective. They’re predicting 30-40 inches of rain in a few days in Texas. They asked an expert to put that into perspective and The post How much...

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How to prepare and apply machine learning to your dataset

August 25, 2017
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How to prepare and apply machine learning to your dataset

INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a Related exercise sets: Vector exercises...

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BH 1.65.0-1

August 24, 2017
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The BH package on CRAN was updated today to version 1.65.0. BH provides a sizeable portion of the Boost C++ libraries as a set of template headers for use by R, possibly with Rcpp as well as other packages. This release upgrades the version of Boost ...

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Newer to R? rstudio::conf 2018 is for you! Early bird pricing ends August 31.

August 24, 2017
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Immersion is among the most effective ways to learn any language. Immersing where new and advanced users come together to improve their use of the R language is a rare opportunity. rstudio::conf 2018 is that time and place! REGISTER TODAY ...

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Gradient boosting in R

August 24, 2017
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Gradient boosting in R

Boosting is another famous ensemble learning technique in which we are not concerned with reducing the variance of learners like in Bagging where our aim is to reduce the high variance of learners by averaging lots of models fitted on bootstrapped data samples generated with replacement from training data, so as to avoid overfitting. Another Related Post Radial kernel Support...

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Linear Congruential Generator in R

August 24, 2017
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Linear Congruential Generator in R

Part of 1 in the series Random Number GenerationA Linear congruential generator (LCG) is a class of pseudorandom number generator (PRNG) algorithms used for generating sequences of random-like numbers. The generation of random numbers plays a large role in many applications ranging from cryptography to Monte Carlo methods. Linear congruential... The post Linear Congruential Generator in R appeared first on...

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Calculating a fuzzy kmeans membership matrix with R and Rcpp

August 24, 2017
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by Błażej Moska, computer science student and data science intern Suppose that we have performed clustering K-means clustering in R and are satisfied with our results, but later we realize that it would also be useful to have a membership matrix. Of course it would be easier to repeat clustering using one of the fuzzy kmeans functions available in...

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Reticulating Readability

August 24, 2017
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I needed to clean some web HTML content for a project and I usually use hgr::clean_text() for it and that generally works pretty well. The clean_text() function uses an XSLT stylesheet to try to remove all non-“main text content” from an HTML document and it usually does a good job but there are some pages... Continue reading →

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Big Data analytics with RevoScaleR Exercises

August 24, 2017
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Big Data analytics with RevoScaleR Exercises

In this set of exercise , you will explore how to handle bigdata with RevoscaleR package from Microsoft R (previously Revolution Analytics).It comes with Microsoft R client . You can get it from here . get the Credit card fraud data set from revolutionanalytics and lets get started Answers to the exercises are available here.Please Related exercise sets: Vector exercises...

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Introducing ‘powerlmm’ an R package for power calculations for longitudinal multilevel models

August 24, 2017
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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 the designs I most typically encounter into an R package. T...

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New R Course: Sentiment Analysis in R – The Tidy Way

August 24, 2017
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New R Course: Sentiment Analysis in R – The Tidy Way

Hello, R users! This week we're continuing to bridge the gap between computers and human language with the launch Sentiment Analysis in R: The Tidy Way by Julia Silge! Text datasets are diverse and ubiquitous, and sentiment analysis provides an approa...

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Practical Guide to Principal Component Methods in R

August 24, 2017
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Practical Guide to Principal Component Methods in R

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 provides a solid practical guidance to summarize, visu...

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Boston EARL Keynote speaker announcement: Tareef Kawaf

August 24, 2017
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Boston EARL Keynote speaker announcement: Tareef Kawaf

...

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H2O.ai: Going for a paddle

August 24, 2017
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H2O.ai: Going for a paddle

Owen Jones, Placement Student A quick disclaimer: This post isn’t called H2O.ai: Going for the 100m freestyle world record. I’m not trying to win a Kaggle competition. I’m not carrying out detailed, highly-controlled benchmarking tests. I’m not, in fact, claiming to be doing anything particularly useful at all. This is just me, just playing around with some code, just for...

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A simple function for installing R packages based on a folder with R scripts

August 24, 2017
By

- 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 have a significant amount of packages used by...

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