1529 search results for "how to import image file to r"

Data science for Doctors: Variable importance Exercises

April 28, 2017
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Data science for Doctors: Variable importance Exercises

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related Related exercise sets:

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Using R to study the Yemen Conflict with night light images

March 26, 2017
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Using R to study the Yemen Conflict with night light images

The Yemeni civil war has received very little attention despite the growing humanitarian disaster. There is a lack of reliable figures on the extent of the human suffering in Yemen. The few data that is available suggests that it is immense. According to the UN, from March 2015 to August 2016, over 10,000 people have … Continue...

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New version of imager package for image processing

March 15, 2017
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New version of imager package for image processing

A new version of imager is now available on CRAN. This release brings a lot of new features, including a whole new set of functions dealing with pixel sets, better support for videos, new and faster reduction functions. The most significant change is the introduction of a “pixset” class, which deals with sets of pixels

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Importing Data into R, part II

January 31, 2017
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Importing Data into R, part II

I recently downloaded the latest version of R Studio and noticed that their import dataset functionality had changed significantly. I had previously written about this HERE and wanted to provide an update for the current version of RStudio. When you go to import data using R Studio, you get a menu like this. If you’re

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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

January 29, 2017
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Version Control, File Sharing, and Collaboration Using GitHub and RStudio

This is Part 3 of our “Getting Started with R Programming” series. For previous articles in the series, click here: Part 1, Part 2. This week, we are going to talk about using git and GitHub with RStudio to manage

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Research lessons learnt the hard way #1: maintaining organised data files

January 17, 2017
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Research lessons learnt the hard way #1: maintaining organised data files

This is the first post in a (hopefully not long) series of research lessons learned from making mistakes. Most of the lessons have been in various aspects of programming as none of my supervisors or fellow postgraduates have any interest in R or Python, so I have had to learn through books and online resources.

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Image Classification in R using trained TensorFlow models

November 7, 2016
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Image Classification in R using trained TensorFlow models

Recently RStudio has released a package that allows to use TensorFlow in R. Also recently several trained models for image classification have been released. In this post I describe how to use the VGG16 model in R to produce an image classification like this:(image taken from: https://www.flickr.com/photos/jonner/487461265)The code...

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How to add a background image to ggplot2 graphs

October 29, 2016
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How to add a background image to ggplot2 graphs

When producing so called infographics, it is rather common to use images rather than a mere grid as background. In this blog post, I will show how to use a background image with ggplot2. Packages required The following code will install load and / or install the R packages required for this blog post. if Related Post

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Association Rules on WideWorldImporters and SQL Server R Services

October 14, 2016
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Association Rules on WideWorldImporters and SQL Server R Services

Association rules are very handy for analyzing Retail data. And WWI database has really neat set of invoices that can be used to make a primer. Starting with following T-SQL query: USE WideWorldIMportersDW; GO ;WITH PRODUCT AS ( SELECT    ,  ,  ,LEFT(, 8) AS L8DESC  ,ROW_NUMBER() … Continue...

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importance sampling by kernel smoothing [experiment]

October 12, 2016
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importance sampling by kernel smoothing [experiment]

Following my earlier post on Delyon and Portier’s proposal to replacing the true importance distribution ƒ with a leave-one-out (!) kernel estimate in the importance sampling estimator, I ran a simple one-dimensional experiment to compare the performances of the traditional method with this alternative. The true distribution is a N(0,½) with an importance proposal a N(0,1)

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