937 search results for "how to import image file to R"

Export Data Frames To Multi-worksheet Excel File

October 6, 2009
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Export Data Frames To Multi-worksheet Excel File

A few weeks ago I needed to export a number of data frames to separate worksheets in an Excel file. Although one could output csv-files from R and then import them manually or with the help of VBA into Excel, I was after a more streamlined solution, as I would need to repeat this process

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How to Import MS Excel Data into R

September 26, 2009
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How to Import MS Excel Data into R

s Sir Francis Bacon said, “Histories make men wise; poets witty; the mathematics subtile; natural philosophy deep; moral grave; logic and rhetoric able to contend.” And Windows stupid. He should have added the last sentence if he were a Windows user in this age. 1. Avoid Using M$ Excel A lot of R users often ask this question:

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An Introduction to Change Points (packages: ecp and BreakoutDetection)

January 21, 2015
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An Introduction to Change Points (packages: ecp and BreakoutDetection)

A forewarning, this post is me going out on a limb, to say the least. In fact, it’s a post/project … Continue reading →

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Contraceptive Choice in Indonesia

January 20, 2015
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Contraceptive Choice in Indonesia

I wanted yet another opportunity to get to use the fabulous caret package, but also to finally give plot.ly a try.  To scratch both itches, I dipped into the UCI machine learning library yet again and came up with a … Continue reading →

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Connecting RStudio and MySQL Docker Containers – an example using the ergast db

January 17, 2015
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Connecting RStudio and MySQL Docker Containers – an example using the ergast db

building on Dockerising Open Data Databases – First Fumblings and my Book Extras – Data Files, Code Files and a Dockerised Application, I just figured out how to get the ergast db into a MySQL docker container and then query it from RStudio: Download and unzip the f1db.sql.gz file to f1db.sql install these docker-mysql-scripts run

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Some basics for base graphics

January 15, 2015
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Some basics for base graphics

by Joseph Rickert One of the greatest strengths of the R language is surely the base graphics capabilities. Grid graphics, lattice, ggplot2, bigvis and the many R packages that interface with javascript D3 graphics have added astounding capabilities, well beyond what can be achieved with base graphics alone. Nevertheless, the quick, one line, base graphics plots ( like plot()...

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Interactive R Notebooks on powerful cloud hardware

January 13, 2015
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Interactive R Notebooks on powerful cloud hardware

by Nick Elprin Co-Founder Domino Data Lab "R Notebooks" use the IPython Notebook UI to run R (rather than Python) in notebook cells, giving you an interactive R environment hosted on scalable servers, accessible through a web browser. This post describes how and why we built our "R Notebooks" feature. Our product, Domino, is a platform that facilitates the...

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Simulated Annealing Feature Selection

January 12, 2015
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Simulated Annealing Feature Selection

As previously mentioned, caret has two new feature selection routines based on genetic algorithms (GA) and simulated annealing (SA). The help pages for the two new functions give a detailed account of the options, syntax etc. The package already has functions to conduct feature selection using simple filters as well as recursive feature elimination (RFE). RFE...

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Multivariate analysis of death rate on the map of Europe

January 11, 2015
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Multivariate analysis of death rate on the map of Europe

Eurostat has information on death rates by cause and NUTS 2 region. I am trying to get this visually displayed on the map. To get there I map all causes to three dimensions via a principal components analysis. These three dimensions are subsequently tr...

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Interactive visualizations with R – a minireview

January 9, 2015
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2015-01-10 00_34_37-Clipboard

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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