Time-varying house effects in New Zealand political polls by @ellis2013nz

September 15, 2017
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Time-varying house effects in New Zealand political polls by @ellis2013nz

House effects in state space models of voting intention “House effects” is the term commonly used in models of voting intention to refer to the different statistical biases of different pollsters. In my Model B state space model of the New Zealan...

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Microsoft R Open 3.4.1 now available

September 15, 2017
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Microsoft R Open (MRO), Microsoft's enhanced distribution of open source R, has been upgraded to version 3.4.1 and is now available for download for Windows, Mac, and Linux. This update upgrades the R language engine to R 3.4.1 and updates the bundled packages. MRO is 100% compatible with all R packages. MRO 3.4.1 points to a fixed CRAN snapshot...

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Le Monde puzzle [#1020]

September 14, 2017
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Le Monde puzzle [#1020]

A collection of liars in this Le Monde mathematical puzzle: A circle of 16 liars and truth-tellers is such that everyone states that their immediate neighbours are both liars. How many liars can there be? A circle of 12 liars and truth-tellers is such that everyone state that their immediate neighbours are one liar plus

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Create Chart Templates Using R Functions

September 14, 2017
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R functions can be used to create chart templates, which keep the look and feel of reports consistent. This post gives step by step guide on how to create chart templates using R functions. R...

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Working with data frames in SQL Server R Services

September 14, 2017
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Most R users are quite familiar with data frames: the data.frame is the fundamental object type for working with columnar data in R. But for SQL Server users, the data frame is an important concept to understand, since it will be the main object type in R used to store data from SQL tables. This guide to working with...

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Probability functions advanced

September 14, 2017
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Probability functions advanced

In this set of exercises, we are going to explore some applications of probability functions and how to plot some density functions. The package MASS will be used in this set. Note: We are going to use random numbers functions and random processes functions in R such as runif. A problem with these functions is Related exercise sets: Probability functions...

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Gold-Mining – Week 2 (2017)

September 14, 2017
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Week 2 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 2 (2017) appeared first on Fantasy Football Analytics.

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Brazilian Yield Curve

September 14, 2017
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Brazilian Yield Curve

The latest version of GetTDData offers function get.yield.curve to download the current Brazilian yield curve directly from Anbima. The yield curve is a financial tool that shows how, based on current prices of fixed income instru...

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ggpubr: Create Easily Publication Ready Plots

September 14, 2017
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ggpubr: Create Easily Publication Ready Plots

The ggpubr R package facilitates the creation of beautiful ggplot2-based graphs for researcher with non-advanced programming backgrounds. The current material presents a collection of articles for simply creating and customizing publication-ready...

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RcppMsgPack 0.2.0

September 13, 2017
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A new and much enhanced version of RcppMsgPack arrived on CRAN a couple of days ago. It came together following this email to the r-package-devel list which made it apparent that Travers Ching had been working on MessagePack converters for R which re...

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RcppRedis 0.1.8

September 13, 2017
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A new minor release of RcppRedis arrived on CRAN last week, following the release 0.2.0 of RcppMsgPack which brought the MsgPack headers forward to release 2.1.5. This required a minor and rather trivial change in the code. When the optional RcppMsgP...

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Revisiting Readability With RStudio

September 13, 2017
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Revisiting Readability With RStudio

I’ve blogged about my in-development R package hgr a before and it’s slowly getting to a CRAN release. There are two new features to it that are more useful in an interactive session than in a programmatic context. Since they build on each other, we’ll take them in order. New S3 print() Method Objects created... Continue reading →

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Announcing lime – Explaining the predictions of black-box models

September 13, 2017
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Announcing lime – Explaining the predictions of black-box models

I’m very pleased to announce that lime has been released on CRAN. lime is an implementation of the model prediction explanation framework described in “Why Should I Trust You?”: Explaining the Predictions of Any Classifier paper. The authors o...

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Moving my blog to blogdown

September 13, 2017
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It’s been a long time coming but I finally moved my blog from Jekyll/Bootstrap on Github pages to blogdown, Hugo and Netlify! Moreover, I also now have my own domain name www.shirin-glander.de. :-) I followed the blogdown ebook to set up my blog. I ...

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community.rstudio.com

September 13, 2017
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We’re excited to announce community.rstudio.com, a new site for discussions about RStudio, the tidyverse, and friends. To begin with, we’re focussing on three main areas: The Tidyverse Shiny RStudio IDE We expect to launch category in the near future for RStudio admins. This will be a place to coordinate knowledge about best practices for installing, configuring, and managing RStudio products, and for running...

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Survival Analysis – Part I

September 13, 2017
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Survival Analysis – Part I

In this article I am going to talk about the non-parametric techniques used for survival analysis. To comprehend this article effectively, you’ll need basic understanding of probability, statistics and R. If you have any questions regarding the concept or the code, feel free to comment, I’ll be more than happy to get back to you. Related Post Linear Regression from...

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Data wrangling : Cleansing – Regular expressions (3/3)

September 13, 2017
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Data wrangling : Cleansing – Regular expressions (3/3)

Data wrangling is the process of importing, cleaning, and transforming raw data into actionable information for analysis. It is a time-consuming process that is estimated to take about 60-80% of analysts’ time. In this series, we will go through this process. It will be a brief series with the goal of crafting the reader’s skills Related exercise sets: Data wrangling...

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New R user community in Grenoble, France

September 13, 2017
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New R user community in Grenoble, France

Nine R user communities already exist in France and there is a much large number of R communities around the world. It was time for Grenoble to start its own! The goal of the R user group is to facilitate the identification of local useRs, to initiate contacts, and to organise experience and knowledge sharing sessions.

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New R Live Courses in Milan! Autumn term calendar

September 13, 2017
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New R Live Courses in Milan! Autumn term calendar

Starting from October, our new live R courses are available to everyone! We have updated them to the latest R functionalities and organized them to ideally form a complete data science path with R: either you seek R introduction or R developer tools, statistical models or Big Data, Shiny dashboards or Machine learning techniques, we bet that we have...

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Building rich analytic web apps has never been easier

September 13, 2017
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We’re entering a golden age of the “analytics developer.” Cutting edge companies like AirBnB, Apple, and S&P are no longer buying off-the-shelf BI software. Instead, they build their own targeted BI platforms that succeed where traditional Big BI falls flat: Agility, collaboration, browser experience, and web-based data visualization. If your company strives to change the world

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caret Cheatsheet

September 12, 2017
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caret Cheatsheet

...

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Asset Contribution to Portfolio Volatility

September 12, 2017
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Asset Contribution to Portfolio Volatility

In our previous portfolio volatility work, we covered how to import stock prices, convert to returns and set weights, calculate portfolio volatility, and calculate rolling portfolio volatility. Now we want to break that total portfolio volatility into its constituent parts and investigate how each asset contributes to the volatility. Why might we want to do that? For our own risk management...

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RStudio v1.1 – The Little Things

September 12, 2017
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RStudio v1.1 – The Little Things

Today, we’re concluding our blog series on new features in RStudio 1.1. If you’d like to try these features out for yourself, you can download a preview release of RStudio 1.1. Details matter Throughout this blog series, we’ve focused on some of the big features we added in RStudio 1.1. It’s not just the big things that matter, though; it’s sometimes...

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R Course in Rio de Janeiro

September 12, 2017
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R Course in Rio de Janeiro

R Course in Rio de Janeiro We are preparing an R for Data-Science course (direct link here) in partnership with the IBPAD (Brazilian Institute of Research and Data Analysis). It is a great course for those who want to have … Continue reading →

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Working with air quality and meteorological data Exercises (Part-3)

September 12, 2017
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Working with air quality and meteorological data Exercises (Part-3)

Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly import data from air quality Related exercise sets: Working with...

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Trending topics on cable news: the newsflash package

September 12, 2017
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Want to know what's capturing the attention of the producers at the 24-hour cable news stations? There's no equivalent of Twitter's trending topics for the likes of CNN or BBC News, but the newsflash package for R by Bob Rudis can extract the latest trending topics from the TV news stations. It seems TV news topics were much less...

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Exploring the CRAN social network

September 12, 2017
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Exploring the CRAN social network

A few months ago, I published a post where I was trying to map the dependencies relationships between R packages. Today I want to do something similar with package contributors. My idea is to reconstruct a social graph where each node would be a person (presumably a developer), and two persons would be connected by an edge if they...

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Visualizing possible cities for Amazon’s new headquarters (using R)

September 12, 2017
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Visualizing possible cities for Amazon’s new headquarters (using R)

Earlier this week, Amazon announced that it it has started to search for a new city in which to build a second headquarters. ... we're going to scrape some data and visualize it to analyze possible locations for their new HQ. The post Visualizing possible cities for Amazon’s new headquarters (using R) appeared first on SHARP SIGHT LABS.

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Zalando’s images classification using H2O with R

September 11, 2017
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Zalando’s images classification using H2O with R

Fashion-MNIST About three weeks ago the Fashion-MNIST dataset of Zalando’s article images, which is a great replacement of classical MNIST dataset, was released. In the following article we will try to build a strong classifier using H2O and R. Eac...

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