Monthly Archives: January 2017

What is a Linear Trend, by the way?

January 1, 2017
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What is a Linear Trend, by the way?

I had a very stranger discussion on twitter (yes, another one), about regression curves. I think it started with a tweet based on some xkcd picture (just for fun, because it was New Year’s Day) “don’t trust linear regressions” https://t.co/exUCvyRd1G pic.twitter.com/O6rBJfkULa — Arthur Charpentier (@freakonometrics) 1 janvier 2017 There were comments on that picture, by econometricians, mainly about ‘significant’...

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3PL models viewed through the lens of total probability theorem

January 1, 2017
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3PL models viewed through the lens of total probability theorem

As I currently am the NPM for PISA in Colombia, I must assist to several meetings dealing with the proper implementation of this assessment in my country. Few of them are devoted to the analysis of this kind of data (coming from IRT models). As usual, ...

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Data science courses in R (and more) for $11 at Udemy (New Year sale)

January 1, 2017
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Data science courses in R (and more) for $11 at Udemy (New Year sale)

Udemy is offering readers of R-bloggers access to its global online learning marketplace for only $11 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL (R and non-R) courses Advanced R courses:  Regression modelling Comprehensive Linear Modeling with R (15 Hours of video) Linear regression in...

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Dan Thompson 2017-01-29 11:29:11

January 1, 2017
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Summary In this blog post I will show you how to make your own personal assistant (think Siri, Cortana, Alexa) in R, very quickly. This will be done in three steps: Get R to recognise your voice and convert it to text Set up a system which us...

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Building Shiny App exercises part 4

January 1, 2017
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Building Shiny App exercises part 4

APPLICATION LAYOUT & REACTIVITY The fourth part of our series is “separated” into two “sub-parts”. In the first one we will start building the skeleton of our application by using tabsetPanel. This is how we will separate the sections of our app and also organize its structure better. In the second part you will learn

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How to perform PCA on R

January 1, 2017
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How to perform PCA on R

This is a practical tutorial on performing PCA on R. If you would like to understand how PCA works, please see my plain English explainer here. Reminder: Principal Component Analysis (PCA) is a method used to reduce the number of variables in a dataset. We are using R’s USArrests dataset, a dataset from 1973 showing,

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My first post!

January 1, 2017
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My first post!

A little bit about me and this blog - Hello everyone! This is the first (ever) post for a new blog about Finance and R. My name is Marcelo Perlin and my day job is assistant professor of Finance in Federal...

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convert graphic object to tree object using treeio

January 1, 2017
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convert graphic object to tree object using treeio

I have splitted ggtree to 2 packages, treeio and ggtree. Now ggtree is mainly focus on visualization and annotation, while treeio focus on parsing and exporting tree files. Here is a welcome message from treeio that you can convert ggtree output to tree object which can be exported as newick or nexus file if you want. Thanks to ggplot2, output...

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A Theory of Nested Cross Simulation

January 1, 2017
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A Theory of Nested Cross Simulation

[Reader’s Note. Some of our articles are applied and some of our articles are more theoretical. The following article is more theoretical, and requires fairly formal notation to even work through. However, it should be of interest as it touches on some of the fine points of cross-validation that are quite hard to perceive or … Continue reading A...

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