February 2017

To Eat, or Not to Eat…WHERE is the question

February 13, 2017 | Yvonne Lau

According to NYC Health, “Each year, thousands of New York City residents become sick from consuming foods or drinks that are contaminated with harmful bacteria, viruses […] The post To Eat, or Not to Eat...WHERE is the question appeared first on NYC Data Science Academy Blog. [Read more...]

Labor Market Analysis with R: Will Obama Ever be Beat?

February 13, 2017 | Kris Eberwein

No matter how many jobs are promised, Barak Obama’s administration will be nearly impossible to beat when it comes to employment growth. The following code uses the blcrapeR package, which is available on CRAN. Politicians talk a lot about jobs and unemployment, even though the actual power they have ...
[Read more...]

MODIStsp v.1.3.1 released !

February 13, 2017 | Lorenzo Busetto

 "MODIStsp" is a R package allowing automatic download and preprocessing of MODIS Land Products time series, available at this https://github.com/lbusett/MODIStsp github page (See also here for additional information) v1.3.1 adds functionality for processing of MODIS snow cover products, accelerated download, processing of specified portions of years, ...
[Read more...]

A comparison of deep learning packages for R

February 13, 2017 | David Smith

Oksana Kutina and Stefan Feuerriegel fom University of Freiburg recently published an in-depth comparison of four R packages for deep learning. The packages reviewed were: MXNet: The R interface to the MXNet deep learning library. (The blog post refers to an older name for the package, MXNetR.) darch: An R ... [Read more...]

Data Science for Doctors – Part 3 : Distributions

February 13, 2017 | Vasileios Tsakalos

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. This ... [Read more...]

A Graphic Look at Bay Area Bike Share

February 13, 2017 | Stefan Heinz

Introduction This post is about the first of the four projects we are supposed to deliver at the NYC Data Science Academy Data Science Bootcamp program. The […] The post A Graphic Look at Bay Area Bike Share appeared first on NYC Data Science Academy Blog. [Read more...]

Production R at ONS

February 13, 2017 | Mark Sellors

Mark Sellors Head of Data Engineering I’ve recently been working at the Office for National Statistics, under the very broad umbrella of a SAS to R transition project. As you might imagine, ONS, as the UK’s largest producer of official … Continue reading → [Read more...]

RcppTOML 0.1.1

February 13, 2017 | Thinking inside the box

Following up on the somewhat important RcppTOML 0.1.0 releaseas which brought RcppTOML to Windows, we have a first minor update 0.1.1. Two things changed: once again updated upstream code from Chase Geigle's cpptoml which now supports Date types too, and we added the ability to parse TOML from strings as opposed to ... [Read more...]

Using R to study tennis players

February 13, 2017 | R and Finance

Looking at winning records of ATP top players and Brazilian tennists - In the previous post about tennis, we studied how changes in ball’s composition in hard and grass courts affected the game back in 2000. In this post, we wil... [Read more...]

Venture Capital Deals in 2016 – An Overview (2/2)

February 13, 2017 | Salvino

  In the previous post (mostly based on EDA principles) I highlighted the main features of 1,720 Venture Capital deals that took place in 2016 in 50 different countries. It is of a central importance to once again underline that the dataset that I used is not a representative sample Read More ... [Read more...]

MODIStsp v.1.3.1 released !

February 12, 2017 | Posts on Lorenzo Busetto Website & Blog

MODIStsp is a R package allowing automatic download and preprocessing of MODIS Land Products time series, available at this https://github.com/lbusett/MODIStsp github page (See also here for additional information) v1.3.1 adds functionality for processing MODIS snow cover products, accelerated download, processing specified portions of years, plus various ...
[Read more...]

PFA with the R Package aurelius

February 12, 2017 | Steven M. Mortimer

I first heard about the Portable Format for Analytics (PFA) through KDnuggets in 2016. There was a post that in vague way talked about the virtues and benefits of PFA, but not to completely supplant PMML, which I was already familiar with. PMML was pretty cool, but I couldn’t find ... [Read more...]

mlr 2.10

February 12, 2017 | Janek Thomas

mlr 2.10 is now on CRAN. Please update your package if you haven’t done so in a while. Here is an overview of the changes: [Read more...]

a knapsack riddle?

February 12, 2017 | xi'an

The [then current now past] riddle of the week is a sort of multiarmed bandits optimisation. Of sorts. Or rather a generalised knapsack problem. The question is about optimising the allocation of 100 undistinguishable units to 10 distinct boxes against a similarly endowed adversary, when the loss function is and the distribution ...
[Read more...]

Dataframes and the tidyverse

February 12, 2017 | geraldbelton

The data frame is the primary structure for working with data in R. Whenever you have data that is arranged in a spreadsheet-like fashion, the default receptacle for that data in R is the data frame. In a data frame, […]
[Read more...]

Happy pbirthday class of 2016

February 12, 2017 | Theory meets practice...

Abstract Continuing the analysis of first names given to newborns in Berlin 2016, we solve the following problem: what is the probability, that in a school class of size \(n\) of these kids there will be at least two kids having the same first name? The answer to the problem for ... [Read more...]
1 7 8 9 10 11 16

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)