59 search results for "commercial license"

Revolution Analytics announces $999 site licenses for universities and public service organizations

February 4, 2014
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by Joseph Rickert Revolution Analytics is announcing three new programs today that we hope will be modest but positive contributions to data science education and public service analytics. The first new program, the Academic Institution Program (AIP) enables colleges, universities and other educational institutions to obtain a site license for Revolution Analytics' commercial distribution of the R Language, Revolution...

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Big data, big analytics, big opportunity

July 30, 2012
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Big data, big analytics, big opportunity

Data, data, every where Nor any byte to think The world today is awash with data. Corporations, governments, and individuals are busy generating petabytes of data on culture, economy, environment, religion, and society.  While data has become abundant and ubiquitous, data analysts needed to turn raw data into knowledge are in fact in short...

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10 reasons why a grad student should use R

July 15, 2011
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Kevin Goulding is working on a Master’s degree in Applied Economics at Montana State University, and offers 10 reasons why grad students should choose R for statistical analyses, homework problems, and thesis research: R is free, and lets grad students escape the burdens of commercial license costs. R has really good online documentation; and the community is unparalleled. The...

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Going over the speed limit

April 17, 2011
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Going over the speed limit

In an earlier post   I had reported on how R compared with Stata for executing algorithms involving maximum likelihood estimation. This post  offers the following updates on the last post: Stata is in fact even faster than previously reported. The 64-bit version of the newly...

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An Analysis of Traffic Violation Data with SQL Server and R

April 6, 2016
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An Analysis of Traffic Violation Data with SQL Server and R

By Srini Kumar, Director of Data Science at Microsoft Who does not hate being stopped and given a traffic ticket? Invariably, we think that something is not fair that we got it and everyone else did not. I am no different, and living in the SF Bay Area, I have often wondered if I could get the data about...

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Read sas7bdat files in R with GGASoftware Parso library

September 12, 2014
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... using the new R package sas7bdat.parso. The software company GGASoftware has extended the work of myself and others on the sas7bdat R package by developing a Java library called Parso, which also reads sas7bdat files. They have worked out most of the remaining kinks. For example, the Parso library reads sas7bdat files with compressed

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RStudio v0.98 Preview (Debugging Tools and More)

September 24, 2013
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RStudio v0.98 Preview (Debugging Tools and More)

We’re very pleased to announce that a preview release of RStudio IDE v0.98 is available for download now. Major highlights of the new release include debugging tools, many improvements to environment/workspace browsing, and a new way to create HTML5 presentations using R Markdown. As usual there are also many small improvements and bug fixes. We’ll

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Python & R vs. SPSS & SAS

March 18, 2017
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Python & R vs. SPSS & SAS

When we’re working for clients we mostly come across the statistical programming languages SAS, SPSS, R and Python. Of these SAS and SPSS are probably the most used. However, the interest for the open source languages R and Python is increasing. In recent years, some of our clients migrated from using SAS or SPSS to

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How Reproducible Data Analysis Scripts Can Help You Route Around Data Sharing Blockers

March 14, 2017
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How Reproducible Data Analysis Scripts Can Help You Route Around Data Sharing Blockers

For aaaagggggggeeeeeeesssssss now, I’ve been wittering on about how just publishing “open data” is okay insofar as it goes, but it’s often not that helpful, or at least, not as useful as it could be. Yes, it’s a Good Thing when a dataset is published in support of a report; but have you ever tried

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A look back at the year in R and Microsoft

February 1, 2017
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Thomas Dinsmore's ML/DL blog recently concluded a look back on significant advancements in data science, machine learning and deep learning — many of which involved R and/or Microsoft. Here are those highlights (reproduced with permission): The R Project R and Python maintained their leadership as primary tools for open data science. The Python versus R debate continued amid an...

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