1954 search results for "tutorial"

My First (R) Shiny App: An Annotated Tutorial

December 5, 2015
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My First (R) Shiny App: An Annotated Tutorial

I’ve been meaning to learn Shiny for 2 years now… and thanks to a fortuitous email from @ImADataGuy this morning and a burst of wild coding energy about 5 hours ago, I

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Tutorial: RNA-seq differential expression & pathway analysis with Sailfish, DESeq2, GAGE, and Pathview

December 4, 2015
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Tutorial: RNA-seq differential expression & pathway analysis with Sailfish, DESeq2, GAGE, and Pathview

BackgroundThis tutorial shows an example of RNA-seq data analysis with DESeq2, followed by KEGG pathway analysis using GAGE. Using data from GSE37704, with processed data available on Figshare DOI: 10.6084/m9.figshare.1601975. This dataset has six samples from GSE37704, where expression was quantified by either: (A) mapping to to GRCh38 using STAR then counting reads mapped to genes...

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LaTeX Quick Tutorial

September 16, 2015
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Once I had many students curious about LaTeX and their interest became a set of LaTeX sessions for Catedras Libres where I had a lot of students from different universities. Available here.

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Maximum-Likelihood parameter estimation in R: A brief tutorial

September 9, 2015
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A brief tutorial on ML estimation in R Recently, a colleague asked me to demonstrate how one can calculate maximum-likelihood (ML) parameter estimates in R. As I had been meaning to do this for my R course anyway, I decided to write up the following brief tutorial. In the tutorial, I go through the three ...

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Tutorials freely available of course I taught: including ggplot2, dplyr and shiny

September 5, 2015
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I was asked to write a R course for a group of innovative companies in the North of the Netherlands. The group of 12 people was a mix of engineers and programmers, and the course aimed at giving them a… See more ›

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Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

August 17, 2015
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Slides of 10+ excellent tutorials at KDD 2015: Spark, graph mining and many more

by Yanchang Zhao RDataMining.com I attended the KDD 2015 conference in Sydney last week. At the conference, there were more than 10 tutorials and I went to two of them, which are 1) Graph-Based User Behavior Modeling: From Prediction to … Continue reading →

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Tutorial Recap: Make a Census Explorer with Shiny

August 6, 2015
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Tutorial Recap: Make a Census Explorer with Shiny

On July 28 I had the pleasure of leading a tutorial titled Make a Census Explorer with Shiny! at the San Francisco R-ladies Meetup. A big thank you to Gabriela de Queiroz for organizing the event, Sharethrough for hosting it, and all the participants for attending. If you are interested in seeing the slides, you The post

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R tutorial on the Apply family of functions

July 28, 2015
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R tutorial on the Apply family of functions

Introduction In our previous tutorial Loops in R: Usage and Alternatives , we discussed one of the most important constructs in programming: the loop.  Eventually we deprecated the usage of loops in R in favor of vectorized functions. In this post we highlight some of the most used vectorized functions: the apply functions. In the present post we show the use The post

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A Tutorial on Loops in R – Usage and Alternatives

July 21, 2015
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A Tutorial on Loops in R – Usage and Alternatives

Introduction In this easy-to-follow R tutorial on loops we will examine the constructs available in R for looping, and how to make use of R’s vectorization feature to perform your looping tasks more efficiently. We will present a few looping examples; then criticize and deprecate these in favor of the most popular vectorized alternatives (amongst The post

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This R Data Import Tutorial Is Everything You Need

July 21, 2015
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This R Data Import Tutorial Is Everything You Need

You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to mix up things from time to The post

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