1317 search results for "how to import image file to r"

Feather: fast, interoperable data import/export for R

May 23, 2016
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Feather: fast, interoperable data import/export for R

Unlike most other statistical software packages, R doesn't have a native data file format. You can certainly import and export data in any number of formats, but there's no native "R data file format". The closest equivalent is the saveRDS/loadRDS function pair, which allows you to serialize an R object to a file and then load it back into...

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Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF

Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF

The IT research firm, Gartner, Inc. has released its February 2016 report, Magic Quadrant for Advanced Analytics Platforms. The report’s main graph shows the completeness of each company’s vision plotted against its ability to achieve that vision (Figure 1.) I … Continue reading →

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A Million Text Files And A Single Laptop

January 28, 2016
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A Million Text Files And A Single Laptop

More often that I would like, I receive datasets where the data has only been partially cleaned, such as the picture on the right: hundreds, thousands…even millions of tiny files. Usually when this happens, the data all have the same format (such as having being generated by sensors or other memory-constrained devices). The problem with data

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Data Science Radar – Technologist Profile

December 14, 2015
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Data Science Radar – Technologist Profile

    by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading →

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Maintaining a database of price files in R

December 13, 2015
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Maintaining a database of price files in R

Doing quantitative research implies a lot of data crunching and one needs clean and reliable data to achieve this. What is really needed is clean data that is easily accessible (even without an internet connection). The most efficient way to do this for me has been to maintain a set of csv files. Obviously this

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Data Science Radar – Modeller Profile

December 10, 2015
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Data Science Radar – Modeller Profile

by Henrik B Nyberg, Mango Solutions   Tell us a bit about your background in Data Science. During the final year of my master in chemical engineering I steered away from lab work and the large scale industrial applications. Computers … Continue reading →

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Data Science Radar – Programmer Profile

December 1, 2015
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Data Science Radar – Programmer Profile

by Doug Ashton, Mango Solutions @dougashton  Doug Ashton Data Science Radar – Nov 2015 1. Tell us a bit about your background in Data Science. I was a physicist for 10 years where I used Monte Carlo simulations to solve … Continue reading →

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Paret’oothed importance sampling and infinite variance [guest post]

November 16, 2015
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Paret’oothed importance sampling and infinite variance [guest post]

The following is mostly based on our arXived paper with Andrew Gelman and the references mentioned  there. Koopman, Shephard, and Creal (2009) proposed to make a sample based estimate of the existence of the moments using generalized Pareto

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importance sampling with infinite variance

November 12, 2015
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importance sampling with infinite variance

“In this article it is shown that in a fairly general setting, a sample of size approximately exp(D(μ|ν)) is necessary and sufficient for accurate estimation by importance sampling.” Sourav Chatterjee and Persi Diaconis arXived yesterday an exciting paper where they study the proper sample size in an importance sampling setting with no variance. That’s right,

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Importing Data Into R – Part Two

August 18, 2015
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Importing Data Into R – Part Two

In this follow-up tutorial of This R Data Import Tutorial Is Everything You Need-Part One, DataCamp continues with its comprehensive, yet easy tutorial to quickly import data into R, going from simple, flat text files to the more advanced SPSS and SAS files. As a lot of our readers noticed correctly from the first post, The post

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