1949 search results for "tutorial"

An extensive tutorial of D3partitionR 0.2

November 20, 2016
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An extensive tutorial of D3partitionR 0.2

Basis and principle of D3partitionR D3partitionR is to plot sequential and hierarchical data using treemap (and circle Tree Map), sunburst and partition chart, collapsible trees (indented or not). The package only has one all-in function called D3partitionR(…) to create a partition chart. Two others functions as renderD3partitionR(…) and D3partitionROutput(…) are used to render partition charts in

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A Free Interactive Plotly R Tutorial

November 9, 2016
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A Free Interactive Plotly R Tutorial

Did you know last month over 23,000 (!) R enthusiasts directly downloaded the Plotly R package? In case you were not one of them, the Plotly package is one of the best R tools to create beautiful, interactive data visualizations as proven by these exa...

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Make A Box Plot with Single Column Data Using Ggplot2 Tutorial

November 7, 2016
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Make A Box Plot with Single Column Data Using Ggplot2 Tutorial

Last week I had my class practice making a box plot using the data on page 66 in The Practice of Statistics 4th Edition (TPS 4ed) text book. I’m still going over the details of making a box plot with just a single vector or variable of data. Many of the problems in our textbook

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Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

October 22, 2016
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Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Quantitative trading strategies are easy to develop in R if you can manage the data workflow. In this post, I analyze every stock in the S&P500 to screen in terms of risk versus reward. I’ll show you how to use quantmod to collect daily stock pri...

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Tidyverse Tutorial

October 17, 2016
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Last week, I gave an overview of bunch of tidyverse packages (tibble, dplyr, tidyr, ggplot, readr, purrr) to the Davis R-Users’ Group. Here is that talk (and since videos don’t display everywhere this blog is syndicated, here is the YouTube link). ...

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Tutorial: Scalable R on Spark with SparkR, sparklyr and RevoScaleR

October 12, 2016
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Tutorial: Scalable R on Spark with SparkR, sparklyr and RevoScaleR

If you'd like to manipulate and analyze very large data sets with the R language, one option is to use R and Apache Spark together. R provides the simple, data-oriented language for specifying transformations and models; Spark provides the storage and computation engine to handle data much larger than R alone can handle. At the KDD 2016 conference last...

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Integrate Free R Tutorials With Blackboard, Moodle, Canvas & More!

August 22, 2016
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Are you teaching a course this semester that makes use of R? Now you can integrate DataCamp’s free interactive R courses and tutorials with all major learning management systems at no cost. Learn More. Why is this exciting? Well, DataCamp’s autogr...

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15 Page Tutorial for R

August 15, 2016
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For Beginners in R, here is a 15 page example based tutorial that covers the basics of R. Starting R – Trivial tutorial on how to start R for those just wondering what to do next after downloading R. Assignement Operator – Two important assignment operators in R are <- and = Listing Objects –… Read More...

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Image recognition tutorial in R using deep convolutional neural networks (MXNet package)

August 5, 2016
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Image recognition tutorial in R using deep convolutional neural networks (MXNet package)

This is a detailed tutorial on image recognition in R using a deep convolutional neural network provided by the MXNet package. After a short post I wrote some times ago I received a lot of requests and emails for a much more detailed explanation, therefore I decided to write this tutorial. This post will show a reproducible...

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R tutorials, Datacamp, and the new look of learning R

July 13, 2016
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R tutorials, Datacamp, and the new look of learning R

Now that we have reached the milestone of 30,000 (!) enthusiastic R students, and that the DataCamp platform is paving its way into academics and professional organizations, we felt that it was time to take our design to a higher level. So as of th...

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