1142 search results for "excel"

Why use R? Five reasons.

March 27, 2014
By
Why use R? Five reasons.

In this post I will go through 5 reasons: zero cost, crazy popularity, awesome power, dazzling flexibility, and mind-blowing support. I believe R is the best statistical programming language to learn. As a blogger who has contributed over 150 posts in Stata and over 100 in R I have extensive experience with both a proprietary statistical programming language...

Read more »

R User Group Activity for Q1 2014

March 27, 2014
By
R User Group Activity for Q1 2014

by Joseph Rickert Worldwide R user group activity for the first Quarter of 2014 appears to be way up compared to previous years as the following plot shows. The plot was built by counting the meetings on Revolution Analytics R Community Calendar. R users continue to value the live, in person events and face-to-face meetings with their peers. Moreover,...

Read more »

GIS in R: Part 1

March 27, 2014
By
GIS in R: Part 1

I messed around with R for years without really learning how to use it properly. I think it’s because I could always throw my hands up when the going got tough and run back and cling the skirts of Excel or JMP or Systat. I finally learned how to use R when I needed to

Read more »

How to open an SPSS file into R

March 26, 2014
By

R is a powerful system for statistical analysis and data visualization. However, it’s not exactly user-friendly for data storage, so, still for several time your data will be archived using Excel, SPSS or similar programs. How to open into R … Continue reading →

Read more »

R 101: Summarizing Data

March 25, 2014
By
R 101: Summarizing Data

When working with large amounts of data that is structured in a tabular format, a common operation is to summarize that data in different ways using specific variables. In Microsoft Excel, pivot tables are a nice feature that is used for this purpose. While not as “efficient” in relation to Excel pivot tables, R also

Read more »

Practical Data Science with R: Release date announced

March 25, 2014
By
Practical Data Science with R: Release date announced

It took a little longer than we’d hoped, but we did it! Practical Data Science with R will be released on April 2nd (physical version). The eBook version will follow soon after, on April 15th. You can preorder the pBook now on the Manning book page. The physical version comes with a complimentary eBook versionRelated posts:

Read more »

A Thumbnail History of Ensemble Methods

March 25, 2014
By
A Thumbnail History of Ensemble Methods

By Mike Bowles Ensemble methods are the backbone of machine learning techniques. However, it can be a daunting subject for someone approaching it for the first time, so we asked Mike Bowles, machine learning expert and serial entrepreneur to provide some context. Ensemble Methods are among the most powerful and easiest to use of predictive analytics algorithms and R...

Read more »

Easily Assign Attributes for Your Metrics in R

March 23, 2014
By
Easily Assign Attributes for Your Metrics in R

One of the most common mistakes I've seen is failure to transform variable attributes before analyzing data in R, or other statistical software packages. It is critical your variables are in the right format (numeric, integer, factor, etc.) or you run ...

Read more »

Learn about handling character data in R with this free e-book

March 21, 2014
By

Most people know R as a statistics/analytics language for analysis of quantitative data, and don't think of it as a tool for processing raw text. But R actually has some quite powerful facilities for processing character data. And as Gaston Sanchez learned, text manipulation is an important part of a modern data scientist's repertoire: Many years ago I decided...

Read more »

Secrets of Teaching R

March 18, 2014
By

by James Paul Peruvankal, Senior Program Manager at Revolution Analytics At Revolution Analytics, we are always interested in how people teach and learn R, and what makes R so popular, yet ‘quirky’ to learn. To get some insight from a real pro we interviewed Bob Muenchen. Bob is the author of R for SAS and SPSS Users and, with...

Read more »