1848 search results for "tutorial"

Phylogenies in R and Python

June 2, 2014
By
Phylogenies in R and Python

One of the reasons I switched to Python from R is because Python’s phylogenetic capabilities are very well developed, but R is catching up. I’m moving into phylogenetic community ecology, which requires a lot of tree manipulation and calculation of … Continue reading →

Read more »

Portraying Your Field Sites to Others and Your Future Self Part 1: Little Planets

May 30, 2014
By
Portraying Your Field Sites to Others and Your Future Self Part 1: Little Planets

I have been experimenting recently with using my relatively inexpensive camera to capture the feeling or sense of a place I am in, with an eye towards collecting a record of field sites in my ecological work. The key is for it to be more immersive th...

Read more »

Step-by-Step Guide to Setting Up an R-Hadoop System

May 30, 2014
By
Step-by-Step Guide to Setting Up an R-Hadoop System

by Yanchang Zhao RDataMining.com Following my first R-Hadoop system setup guide written in Sept 2013, I have further tested setting up a Hadoop system for running R code, as well as using HBase. I have tested it both on a … Continue reading →

Read more »

Visualize Your Foursquare Check-ins with R

May 29, 2014
By
Visualize Your Foursquare Check-ins with R

You can use this tutorial in the ThinkToStartR package with: token <-ThinkToStart(“Foursquare_auth”,app_name=”R_Test”,app_id=”XXX”,app_secret=”XXX”) map <- ThinkToStart(“Foursquare_map”,token) Hey R-Fans! You sure all heard of Foursquare. It has more than 45 million users but it´s potential is not recognized by much people. So today I want to show you how easy it is to get your check-in history and visualize …

Read more »

R / Finance 2014: Packaged Takeaways

May 29, 2014
By
R / Finance 2014: Packaged Takeaways

by Joseph Rickert I was very happy to have been able to attend R / Finance 2014 which wrapped up a couple of weeks ago. In general, the talks were at a very high level of play, some dealing with brand new ideas and many presented at a significant level of technical or mathematical sophistication. Fortunately, most of the...

Read more »

Comment sections and help instructions at the Shiny Dev Center

May 28, 2014
By
Comment sections and help instructions at the Shiny Dev Center

We’ve added two new features that make it easier to learn Shiny with the Shiny Dev Center. Disqus comments - Each lesson and article on the Dev Center now has its own comments section. Use the comments section to start a discussion or to leave feedback about the articles. How to get help with Shiny –

Read more »

Attempt at R version of Peter Norvig’s Spelling Corrector

May 26, 2014
By
Attempt at R version of Peter Norvig’s Spelling Corrector

I recently came across a short tutorial by Peter Norvig on natural language processing using some interesting examples. I found it very interesting and really liked Peter Norvig’s explanations and the fact that it was all in ipython notebook for … Continue reading →

Read more »

Quick History 2: GLMs, R and large data sets

May 22, 2014
By

by Joseph Rickert In last week’s post, I sketched out the history of Generalized Linear Models and their implementations. In this post I’ll attempt to outline how GLM functions evolved in R to handle large data sets. The first function to make it possible to build GLM models with datasets that are too big to fit into memory was...

Read more »

R beats Python! R beats Julia! Anyone else wanna challenge R?

May 21, 2014
By
R beats Python!  R beats Julia!  Anyone else wanna challenge R?

Before I left for China a few weeks ago, I said my next post would be on our Rth parallel R package. It’s not quite ready yet, so today I’ll post one of the topics I spoke on last night at the Berkeley R Language Beginners Study Group. Thanks to the group for inviting me,

Read more »

R beats Python! R beats Julia! Anyone else wanna challenge R?

May 21, 2014
By
R beats Python!  R beats Julia!  Anyone else wanna challenge R?

Before I left for China a few weeks ago, I said my next post would be on our Rth parallel R package. It’s not quite ready yet, so today I’ll post one of the topics I spoke on last night at the Berkeley R Language Beginners Study Group. Thanks to the group for inviting me,

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series











Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)