1059 search results for "Rstudio"

A Simple Shiny App for Monitoring Trading Strategies – Part II

August 7, 2014
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This is a follow up on my previous post “A Simple Shiny App for Monitoring Trading Strategies“.  I added a few improvements that make the app a bit better (at least for me!). Below is the list of new features : A sample  .csv file (the one that contains the raw data) A “EndDate”  drop

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Results of the Readers’ Survey

August 5, 2014
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Results of the Readers’ Survey

 First of all, let me say “Thank You” to all of the 357 people who completed the survey. I was hoping for 100, so needless to say the response blew away my expectations. This endeavor seems like a worthwhile effort to do once a year. Next year I will refine the...

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Simpler R coding with pipes > the present and future of the magrittr package

August 5, 2014
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Simpler R coding with pipes > the present and future of the magrittr package

This is a guest post by Stefan Milton, the author of the magrittr package which introduces the %>% operator to R programming. Preface (by Tal Galili) I was first introduced to the %>% (a.k.a: pipe) operator in R, thanks to Hadley Wickham’s (fascinating) dplyr tutorial (link to the workshop’s material) at useR!2014. After several discussions during the conference (including one very

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GRAN and switchr can’t send you back in time, but they can send R (sort of)

August 5, 2014
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GRAN and switchr can’t send you back in time, but they can send R (sort of)

Using package repositories to recreate the past, distribute the present, and protect against the future by Gabriel Becker (@groundwalkergmb) Bioinformatics and Computational Biology Genentech Research and Early Developmen 1. Have you ever needed to reach into the distant past … to recreate a years old result? Take - as an arbitrary example - Anders and Huber's paper on Differential...

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Thanks to R Markdown: Perhaps Word is an option after all?

August 5, 2014
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Thanks to R Markdown: Perhaps Word is an option after all?

In many cases Word is still the preferred file format for collaboration in the office. Yet, it is often a challenge to work with it, not so much because of the software, but how it is used and abused. Thanks to Markdown it is no longer painful to inclu...

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Introducing the Shiny App DThiring

August 4, 2014
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Well it has a been a long time since I have written anything on this blog.  I am long overdue.  I've been terribly busy learning new things and getting on with life.  One of the things I have learned is building R applications using Shin...

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The R Markdown Cheat Sheet

August 1, 2014
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The R Markdown Cheat Sheet

R Markdown is a framework for writing versatile, reproducible reports from R. With R Markdown, you write a simple plain text report and then render it to create polished output. You can: Transform your file into a pdf, html, or Microsoft Word document—even a slideshow—at the click of a button. Embed R code into your report. When

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Shiny 0.10.1

July 31, 2014
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Shiny 0.10.1

Shiny v0.10.1 has been released to CRAN. You can either install it from a CRAN mirror, or update it if you have installed a previous version. install.packages('shiny', repos = 'http://cran.rstudio.com') # or update your installed packages # update.packages(ask = FALSE, repos = 'http://cran.rstudio.com') The most prominent change in this patch release is that we added full

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A Data Scientist’s and R User’s Guide to the JSM

July 31, 2014
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by Joseph Rickert The Joint Statistical Meetings (JSM) get underway this weekend in Boston and Revolution Analytics is again proud to be a sponsor. More than 6,000 statisticians and data scientists from around the world are expected to attend and listen to thousands of presentations. It is true that many talks will be on specialized topics that only statisticians...

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httr 0.4

July 31, 2014
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httr 0.4

httr 0.4 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. The most important new features are two new vignettes to help you get started and to help you make wrappers for web APIs. Other important improvements include: New headers() and cookies() functions to extract headers

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