January 2017

RProtoBuf 0.4.8: Windows support for proto3

January 17, 2017 | Thinking inside the box

Issue ticket #20 demonstrated that we had not yet set up Windows for version 3 of Google Protocol Buffers ("Protobuf") -- while the other platforms support it. So I made the change, and there is release 0.4.8. RProtoBuf provides R bindings for the Google Protocol Buffers ("Protobuf") data encoding and serialization library used ... [Read more...]

MinPy: The NumPy Interface upon MXNet’s Backend

January 17, 2017 | DMLC

Machine learning is now enjoying its golden age. In the past few years, its effectiveness has been proved by solving many traditionally hard problems in computer vision and natural language processing. At the same time, different machine learning frameworks came out to justify different needs. These frameworks, fall generally into ...
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Introducing padr

January 17, 2017 | That’s so Random

I am happy to introduce the padr package, which is now available on CRAN. If you frequently work with data containing a timestamp, especially automatically created data, you might find this package helpful. It solves two problems that you can be confronted with when preparing datetime data for analysis. First, ...
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Git Gud with Git and R

January 17, 2017 | David Smith

If you're doing any kind of in-depth programming in the R language (say, creating a report in Rmarkdown, or developing a package) you might want to consider using a version-control system. And if you collaborate with another person (or a team) on the work, it makes things infinitely easier when ... [Read more...]

Multivariate Apply Exercises

January 17, 2017 | John Akwei

mapply() works with multivariate arrays, and applys a function to a set of vector or list arguments. mapply() also simplifies the output. Structure of the mapply() function: mapply(FUN, ..., MoreArgs = NULL, SIMPLIFY = TRUE, USE.NAMES = TRUE) Answers to the exercises are available here. Exercise 1 Beginning level Required dataframe: PersonnelData [Read more...]

R or Python for Data Science?

January 16, 2017 | g4greetz

Addressing the question 'R or Python for data science' depends mainly on the problems which is to be solved, the tools required to solve the problem and your personal preference. Read more.. [Read more...]

The fivethirtyeight R package

January 16, 2017 | David Smith

Andrew Flowers, quantitiative editor of FiveThirtyEight.com, announced at last weeks' RStudio conference the availability of a new R package containing data and analyses from some of their data journalism features: the fivethirtyeight package. (Andrew's talk isn't yet online, but you can see him discuss several of these stories in ... [Read more...]
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