810 search results for "KnitR"

More water, a bit more about saints

January 25, 2017
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More water, a bit more about saints

I was lucky enough to get some nice and interesting feedback on my last post. One comment was really useful and pretty embarrassing: I had written “see” instead of “sea” in the whole post… Thanks Steve Dempsey for the correction! I also got s...

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French villages and a sort of resolution

January 23, 2017
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French villages and a sort of resolution

Sort of introduction to this post and hopefully the next ones I usually don’t have any New Year resolution. However, recent tweets about productivity – from people I actually find productive and inspiring – made me ponder a bit on my unfinished...

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R vs Python – a One-on-One Comparison

January 21, 2017
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R vs Python – a One-on-One Comparison

I’m an avid R user and rarely use anything else for data analysis and visualisations. But while R is my go-to, in some cases, Python might actually be a better alternative. That’s why I wanted to see how R and Python fare in a one-on-one compariso...

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Does seasonally adjusting first help forecasting?

January 21, 2017
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Does seasonally adjusting first help forecasting?

The experiment A colleague at work was working with a time series where one got quite different results depending on whether one seasonally adjusted it first, or treated the seasonality as part of a SARIMA (seasonal auto-regressive integrated moving av...

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Implementation of a basic reproducible data analysis workflow

In a previous post, I described the principles of my basic reproducible data analysis workflow. Today, let’s be more practical and see how to implement it. Be noted that it is a basic workflow. The goal is to find a good balance between a minimal re...

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Easily explore a table with shinycsv

January 19, 2017
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Easily explore a table with shinycsv

Have you ever had to explore a table with data? I believe the answer is yes for most people that work at a computer or even just use it for communicating with their friends and family. Tables of data pop up everywhere, for example in personal finance. Websites like Mint.com allow you to download your transactions in...

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A basic reproducible data analysis workflow – principles

The goal of reproducible data analysis is, according to the CRAN task view, to tie specific instructions to data analysis and experimental data so that scholarship can be recreated, better understood and verified. In order to prepare a small talk on t...

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Workout Wednesday Redux (2017 Week 3)

January 18, 2017
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Workout Wednesday Redux (2017 Week 3)

I had started a “52 Vis” initiative back in 2016 to encourage folks to get practice making visualizations since that’s the only way to get better at virtually anything. Life got crazy, 52 Vis fell to the wayside and now there are more visible alternatives such as Makeover Monday and Workout Wednesday. They’re geared towards... Continue reading...

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Feature Selection in Machine Learning (Breast Cancer Datasets)

January 14, 2017
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Feature Selection in Machine Learning (Breast Cancer Datasets)

Machine learning uses so called features (i.e. variables or attributes) to generate predictive models. Using a suitable combination of features is essential for obtaining high precision and accuracy. Because too many (unspecific) features pose the prob...

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Structural Equation Modelling in R (Part 2)

January 14, 2017
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Structural Equation Modelling in R (Part 2)

Brief explanation This is the second part in a series on three articles about Structural Equation Modelling (SEM). This time I am glad to announce Jodie Burchell as a co-writer! In Structural Equation Modelling in R (Part 1) I explained the basics of CFA. SEM was explained as a general case of CFA that was going be explained later,...

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