Monthly Archives: August 2017

rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

August 29, 2017
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rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the air that have...

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RcppSMC 0.2.0

August 28, 2017
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A new version 0.2.0 of the RcppSMC package arrived on CRAN earlier today (as a very quick pretest-publish within minutes of submission). RcppSMC provides Rcpp-based bindings to R for the Sequential Monte Carlo Template Classes (SMCTC) by Adam Johanse...

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rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determining exposure, and sources of exposure, to PM2.5 which are very small particles in the air that have...

Read more »

rtimicropem: Using an *R* package as platform for harmonized cleaning of data from RTI MicroPEM air quality sensors

As you might remember from my blog post about ropenaq, I work as a data manager and statistician for an epidemiology project called CHAI for Cardio-vascular health effects of air pollution in Telangana, India. One of our interests in CHAI is determinin...

Read more »

Shiny Dev Center gets a shiny new update

August 28, 2017
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Shiny Dev Center gets a shiny new update

I am excited to announce the redesign and reorganization of shiny.rstudio.com, also known as the Shiny Dev Center. The Shiny Dev Center is the place to go to learn about all things Shiny and to keep up to date with it as it evolves. The goa...

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RStudio::Conf 2018

August 28, 2017
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RStudio::Conf 2018

It’s not even Labor Day, so it seems to be a bit early to start planning for next year’s R conferences. But, early-bird pricing for RStudio::Conf 2018 ends this Thursday. The conference which will be held in San Diego between January 31st and February 3rd promises to match and even surpass this year’s event. In addition to keynotes from Di...

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6 R Jobs for R users (2017-08-28) – from all over the world

August 28, 2017
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6 R Jobs for R users (2017-08-28) – from all over the world

To post your R job on the next post Just visit this link and post a new R job to the R community. You can post a job for free (and there are also “featured job” options available for extra exposure). Current R jobs Job seekers: please follow the links below to learn more and apply for your R job of interest: Featured Jobs Full-Time Technical Project...

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Le Monde puzzle [#1018]

August 28, 2017
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Le Monde puzzle [#1018]

An arithmetic Le Monde mathematical puzzle (that first did not seem to involve R programming because of the large number of digits in the quantity involved): An integer x with less than 100 digits is such that adding the digit 1 on both sides of x produces the integer 99x.  What are the last nine

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Packages to simplify mapping in R

August 28, 2017
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Packages to simplify mapping in R

Computerworld's Sharon Machlis has published a very useful tutorial on creating geographic data maps with R. (The tutorial was actually published back in March, but I only came across it recently.) While it's been possible to create maps in R for a long time, some recent packages and data APIs have made the process much simpler. The tutorial is...

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Neat New seplyr Feature: String Interpolation

August 28, 2017
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Neat New seplyr Feature: String Interpolation

The R package seplyr has a neat new feature: the function seplyr::expand_expr() which implements what we call “the string algebra” or string expression interpolation. The function takes an expression of mixed terms, including: variables referring to names, quoted strings, and general expression terms. It then “de-quotes” all of the variables referring to quoted strings and … Continue reading Neat...

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