August, 2017 | R-bloggers

Install R, Python and Pelican Blog Tool on Windows

August 27, 2017 | Mauricio Vargas S. 帕夏

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, ... [Read more...]

Use R and Pelican on Windows

August 27, 2017 | Mauricio Vargas S. 帕夏

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 ... [Read more...]

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

August 27, 2017 | Daniel

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: ...

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WoE and IV Variable Screening with {Information} in R

August 27, 2017 | The Exactness of Mind

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 ... [Read more...]

NYC Citi Bike Visualization – A Hint of Future Transportation

August 26, 2017 | Summer Sun

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. [Read more...]

Writing functions – Part two

August 26, 2017 | R Blog on Cillian McHugh

(This post originally appeared on my R blog) The current post will follow on from the previous post and describe another use for writing functions. R Markdown and reporting p values in APA format The function described here is designed for use with R Markdown. I would write a post ... [Read more...]

How tidyeval could make your life easier

August 26, 2017 | rdata.lu Blog | Data science with R

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

August 26, 2017 | Econometrics and Free Software

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

August 26, 2017 | Econometrics and Free Software

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

August 26, 2017 | Econometrics and Free Software

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 | Guillaume Touzin

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 ... [Read more...]

wrapr: R Code Sweeteners

August 25, 2017 | John Mount

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 ...

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Unbottling “.msg” Files in R

August 25, 2017 | hrbrmstr

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 ...

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Tidy evaluation, most common actions

August 25, 2017 | That’s so Random

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 ... [Read more...]

Stan Weekly Roundup, 25 August 2017

August 25, 2017 | Bob Carpenter

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 ...

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Stan Weekly Roundup, 25 August 2017

August 25, 2017 | Bob Carpenter

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 ... [Read more...]

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

August 25, 2017 | David Smith

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, ... [Read more...]

How much will that Texas rain be

August 25, 2017 | dan

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 ... [Read more...]

How to prepare and apply machine learning to your dataset

August 25, 2017 | Euthymios Kasvikis

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 ... [Read more...]

BH 1.65.0-1

August 24, 2017 | Thinking inside the box

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 ... [Read more...]

August 2017

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