Publications by R on Coding Club UC3M
Useful one-function R packages, big data solutions, and a message from Yoda
As the title reads, in this heterogeneous session we will see three topics of different interest. The first is a collection of three simple and useful one-function R packages that I use regularly in my coding workflow. The second collects some approaches to handling and performing linear regression with big data. The third brings in t...
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An introduction to Shiny as a teaching resource
The main goal of this session is to show a regular R user how to develop his/her own interactive (web) application without much effort. For doing so, we introduce the Shiny R package that makes this task simple even for an R programmer that has never heard about HTML, CSS or JavaScript (or does not care about them at all). During the ...
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An introduction to Tensorflow
Tensorflow has been widely used for many applications in machine learning and deep learning. However, Tensorflow is more than that, it is a general purpose computing library. Based on that, people have created a rich ecosystem for quickly developing models. In this talk, I will show how statisticians can get most of the main features in Tensorflo...
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An introduction to Shiny II
This is our second session introducing Shiny, an R package that allows to develop interactive Apps in a familiar framework for regular R-users. During the first session we focused on the structure and workflow basics, and now, we will go further on input and output objects, reactivity, layouts and data handling. All these functionalities will be ...
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Online resources for teaching
In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an online compiler, without installing any kind of software in our computers. The other one, it can help us to solve optimization problems by a graphics way. We can draw the restrictions, the feasible region, and ot...
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LSTM with Keras & TensorFlow
The aim of this tutorial is to show the use of TensorFlow with KERAS for classification and prediction in Time Series Analysis. The latter just implement a Long Short Term Memory (LSTM) model (an instance of a Recurrent Neural Network which avoids the vanishing gradient problem). Introduction The code below has the aim to quick introduce Deep Lea...
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An introduction to Stan with R
Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for continuous-variable models through Markov Chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization ...
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Simple yet elegant Object-Oriented programming in R with S3
by Iñaki Úcar The R language is peculiar in many ways, and its approach to object-oriented (OO) programming is just one of them. Indeed, base R supports not one, but three different OO systems: S3, S4 and RC classes. And yet, probably none of them would qualify as a fully-fledged OO system before the astonished gaze of an expert in languages su...
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Getting from flat data a world of relationships to visualise with Gephi
by Mariluz Congosto Network analysis offers a perspective of the data that broadens and enriches any investigation. Many times we deal with data in which the elements are related, but we have them in a tabulated format that is difficult to import into network analysis tools. Relationship data require a definition of nodes and connections. Both pa...
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Mastering R presentations
by Paula LC Do you want to know how to make elegant and simple reproducible presentations? In this talk, we are going to explain how to do presentations in different output formats using one of the easiest and most exhaustive statistical software, R. Now, it is possible create Beamer, PowerPoint, or HTML presentations, including R code, \(\LaTeX\...
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