1796 search results for "tutorial"

A short video tutorial on my R package cricketr

December 7, 2015
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A short video tutorial on my R package cricketr

Take a look at my short video presentation my R package cricketr Also see 1. Sixer – R package cricketr’s new Shiny Avatar 2. Literacy in India : A deepR dive. 3.  Natural Language Processing: What would Shakespeare say? 4. Revisiting crimes against women in India 5. Dabbling with Weiner filter with OpenCV 6.  A method

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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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Learn R interactively with our new Introduction to R tutorial

September 30, 2015
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Learn R interactively with our new Introduction to R tutorial

At DataCamp we are obsessed with how we can make our R courses and learning technology better. As a result, we’re continuously innovating and nothing stays the same for very long. Today, we’re proud to announce we’ve made some huge updates to our free Introduction to R tutorial. It’s our most popular course, taken by The post

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New Tutorial Launched: Introduction to Machine Learning

September 15, 2015
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New Tutorial Launched: Introduction to Machine Learning

In DataCamp’s brand new course, Introduction to Machine Learning with R, you’ll learn all about the most widely used machine learning techniques such as classification, regression and clustering.  Whether you want to build your personal recommendation engine, become better at picking stocks, or develop your own self-driving car, machine learning is essential. It nicely interweaves The post

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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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