Monthly Archives: May 2017

How do you feel about Last Week Tonight?

May 29, 2017
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How do you feel about Last Week Tonight?

Welcome, welcome, welcome! One thing my husband and I enjoy a lot is watching Last Week Tonight with John Oliver every week. It is an HBO political talk-show that airs on Sunday nights, and we usually watch it while we have dinner sometime during the week. We love the show because it covers a huge amount of diverse topics...

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Animated Plots As Part Of Exploratory Data Analysis

May 29, 2017
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Animated Plots As Part Of Exploratory Data Analysis

The internet seems to be booming with blog posts on animated graphs, whether it’s for more serious purposes or not so much. I didn’t think anything more of it than just a gimmick or a cool way of spicing up your conference talk. However, I’m a total convert now and in this post I want to show a real...

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Generating Dockerfiles for reproducible research with R

May 29, 2017
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This post is the draft of the vignette for a new R package by o2r team members Matthias and Daniel. Find the original file in the package repository on GitHub. 1. Introduction 2. Creating a Dockerfile 3. Including resources 4. Image metadata ...

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Generating Dockerfiles for reproducible research with R

May 29, 2017
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This post is the draft of the vignette for a new R package by o2r team members Matthias and Daniel. Find the original file in the package repository on GitHub. 1. Introduction 2. Creating a Dockerfile 3. Including resources 4. Image metadata ...

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April New Package Picks

May 29, 2017
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April New Package Picks

Here are my picks for the “Top 40” new packages submitted to CRAN in April 2017. These selections, which were culled from 208 submissions, are organized into four categories: Data, Finance, Statistics and Utilities. The number of entries in the Data and Utilities categories reflect the initiatives of R developers to connect to external resources. Data comtradr v0.0.1: Provides functions to...

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Exploring LSTMs

May 29, 2017
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Exploring LSTMs

The first time I learned about LSTMs, my eyes glazed over. Not in a good, jelly donut kind of way. It turns out LSTMs are a fairly simple extension to neural networks, and they're behind a lot of the amazing achievements deep learning has made in the past few years. So I'll try to present them as intuitively as possible –...

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Mixed models for ANOVA designs with one observation per unit of observation and cell of the design

May 29, 2017
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Mixed models for ANOVA designs with one observation per unit of observation and cell of the design

Together with David Kellen I am currently working on an introductory chapter to mixed models for a book edited by Dan Spieler and Eric Schumacher (the current version can be found here). The goal is to provide a theoretical and practical introduction that is targeted mainly at experimental psychologists, neuroscientists, and others working with experimental

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R and Keyword Planner

May 29, 2017
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R and Keyword Planner

Using R and Google’s Keyword Planner to evaluate size and competitiveness of international markets.   Our Product: the Keyword Hero About two months ago our team developed a new SaaS product, the Keyword Hero. It’s the only solution to “decrypt” the organic keywords in Google Analytics that users searched for in order to get to Der Beitrag R and Keyword...

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Instrumental Variables in R exercises (Part-3)

May 29, 2017
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Instrumental Variables in R exercises (Part-3)

This is the third part of the series on Instrumental Variables. For other parts of the series follow the tag instrumental variables. In this exercise set we will use Generalized Method of Moments (GMM) estimation technique using the examples from part-1 and part-2. Recall that GMM estimation relies on the relevant moment conditions. For OLS Related exercise sets:Instrumental Variables...

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Sberbank Machine Learning Series – Post 2 – Mind maps & Hypothesis

Sberbank Machine Learning Series – Post 2 – Mind maps & Hypothesis

This is the second post of the Sberbank Russia housing set analysis, where we will narrow down the variables of interest and create a roadmap to understand which factors significantly impact the target variable (price_doc). You can read the introductory first post here.   Analysis Roadmap: This Kaggle dataset has ~290 variables, so having a

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