6175 search results for "git"

Don’t teach built-in plotting to beginners (teach ggplot2)

December 15, 2014
By
Don’t teach built-in plotting to beginners (teach ggplot2)

I have some experience teaching R programming (see, for instance, my online course). One of the atypical choices I make is to start by teaching Hadley Wickham’s ggplot2 package, rather than the built-in R plotting (see these videos). Many times that I mention this choice to others involved in statistics education, they treat it like a mistake...

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 »

Hassle-free data from HTML tables with the htmltable package

December 15, 2014
By

HTML tables are a standard way to display tabular information online. Getting HTML table data into R is fairly straightforward with the readHTMLTable() function of the XML package. But tables on the web are primarily designed for displaying and consuming data, not for analytical purposes. Peculiar design choices for HTML tables are therefore frequently made which tend to produce...

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 »

QQ-plots in R vs. SPSS – A look at the differences

December 15, 2014
By
QQ-plots in R vs. SPSS – A look at the differences

We teach two software packages, R and SPSS, in Quantitative Methods 101 for psychology freshman at Bremen University (Germany). Sometimes confusion arises, when the software packages produce different results. This may be due to specifics in the implemention of a method or, as in most cases, to different default settings. One of these situations occurs

Read more »

Decide which frequent flyer program is best for your city

December 14, 2014
By
Decide which frequent flyer program is best for your city

Use our interactive tool to find out which airline has the most departures from your city The post Decide which frequent flyer program is best for your city appeared first on Decision Science News.

Read more »

stringi 0.4-1 released – fast, portable, consistent character string processing

December 14, 2014
By

A new release of the stringi package is available on CRAN (please wait a few days for Windows and OS X binary builds). # install.packages("stringi") or update.packages() library("stringi") Here’s a list of changes in version 0.4-1. In the current release,…Read more ›

Read more »

httr 0.6.0

December 14, 2014
By
httr 0.6.0

httr 0.6.0 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. Learn more in the quick start vignette. This release is mostly bug fixes and minor improvements. The most important are: handle_reset(), which allows you to reset the default handle if you get the error “easy

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 »

Monthly Weather in Netherlands

December 14, 2014
By
Monthly Weather in Netherlands

When I downloaded the KNMI meteorological data, the intention was to do something which takes more than just the computers memory. While it is clearly not big data, at the very least 100 years of daily data is not small either. So I took along a load o...

Read more »

Sponsors

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)