1818 search results for "tutorial"

Time Stacking and Time Slicing in R

December 24, 2014
By
Time Stacking and Time Slicing in R

Time lapses are a fun way to quickly show a long period of time. They typically involve setting up your camera on a tripod and taking photos at a regular interval, like every 5 seconds. After all the photos have been taken, they are combined into a mov...

Read more »

Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2)

December 23, 2014
By
Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2)

For our purposes here, data exploration is the application of data visualization and data manipulation techniques to understand the properties of our dataset. We’re going to be looking for interesting features: things that stand out, trends, and relationships between variables. The post Data analysis example with ggplot and dplyr (analyzing ‘supercar’ data, part 2) appeared first on

Read more »

Statistical Analysis and Data Mining hot on LinkedIn for 2014

December 19, 2014
By

Statistical Analysis and Data Mining are considered the hottest skills on LinkedIn for 2014.  According to their report from analyzing jobs and recruiters on the LinkedIn website.  I would say its safe to say that it will continue to be ...

Read more »

A list of awesome statistics resources in 2014

December 19, 2014
By

Johns Hopkins Biostatistics Professor (and presenter of Data Analysis at Coursera) Jeff Leek has published his list of awesome things other people did in 2014. It's well worth following the links in his 38 entries, where you'll find a wealth of useful resources in teaching, statistics, data science, and data visualization. Many of the entries are related to R,...

Read more »

The Geometry of Classifiers

December 18, 2014
By
The Geometry of Classifiers

As John mentioned in his last post, we have been quite interested in the recent study by Fernandez-Delgado, et.al., “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” (the “DWN study” for short), which evaluated 179 popular implementations of common classification algorithms over 120 or so data sets, mostly from the UCI … Continue reading...

Read more »

Producing student/teacher versions from a single Sweave file

December 16, 2014
By
Producing student/teacher versions from a single Sweave file

This tutorial describes how to integrate computable R code (and outputs) in a LaTeX documents in a such a way that a single file can generate two (or more) PDF files. This trick is particularly useful for creating worksheets for R courses. A very small introduction to integrating R code in LaTeX files R code

Read more »

How to analyze a new dataset (or, analyzing ‘supercar’ data, part 1)

December 16, 2014
By

I love cars. The way they sound. The engineering. The craftsmanship. And let’s be honest: fast cars are just fun. Given my love of cars, I frequently watch Top Gear clips on YouTube. A couple of weeks ago, I stumbled across this:   Watching the video, I’m thinking, “253 miles per hour? You’ve got to The post

Read more »

Cartography with complex survey data

December 15, 2014
By
Cartography with complex survey data

Visualizing complex survey data is something of an art. If the data has been collected and aggregated to geographic units (say, counties or states), a choropleth is one option. But if the data aren't so neatly arranged, making visual sense often requires some form of smoothing to represent it on a map. R, of course, has a number of...

Read more »

Review: Data Science at the Command Line

December 15, 2014
By
Review: Data Science at the Command Line

Admission: I didn’t really know how computers worked until around 2012. For the majority of my career, I’ve worked for large companies with centralized IT functions. Like many statisticians, I fell into a comfortable position of learning SAS in a Windows environment, had Ops people to fix any Unix problems I’d run into and DBAs to

Read more »

Hierarchical Clustering with R (feat. D3.js and Shiny)

December 14, 2014
By
Hierarchical Clustering with R (feat. D3.js and Shiny)

Agglomerative hierarchical clustering is a simple, intuitive and well-understood method for clustering data points. I used it with good results in a project to estimate the true geographical position of objects based on measured estimates. With this tutorial I would … Continue reading →

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

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)