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

August 29, 2017
By
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 »

RcppSMC 0.2.0

August 28, 2017
By

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...

Read more »

Shiny Dev Center gets a shiny new update

August 28, 2017
By
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...

Read more »

RStudio::Conf 2018

August 28, 2017
By
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...

Read more »

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

August 28, 2017
By
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...

Read more »

Le Monde puzzle [#1018]

August 28, 2017
By
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

Read more »

Packages to simplify mapping in R

August 28, 2017
By
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...

Read more »

Neat New seplyr Feature: String Interpolation

August 28, 2017
By
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...

Read more »

Non-Linear Regression: Application to Monoclonal Peak Integration in Serum Protein Electrophoresis

August 28, 2017
By
Non-Linear Regression: Application to Monoclonal Peak Integration in Serum Protein Electrophoresis

Background At the AACC meeting recently, there was an enthusiastic discussion of standardization of reporting for serum protein electrophoresis (SPEP) presented by a working group headed up by Dr. Chris McCudden and Dr. Ron Booth, both of the University of Ottawa. One of the discussions pertained to how monoclonal bands, especially small ones, should be … Continue reading Non-Linear...

Read more »

Recording of my Talk at the ACS Data Users Conference

August 28, 2017
By
Recording of my Talk at the ACS Data Users Conference

I recently had the honor of speaking at the 2017 American Community Survey (ACS) Data Users Conference. My talk focused on choroplethr, the suite of... The post Recording of my Talk at the ACS Data Users Conference appeared first on AriLamstein.com.

Read more »

One-way ANOVA in R

August 28, 2017
By
One-way ANOVA in R

Suppose as a business manager you have the responsibility for testing and comparing the lifetimes of four brands (Apollo, Bridgestone, CEAT and Falken) of automobile tyres. The lifetime of these sample observations are measured in mileage run in ’000 miles. For each brand of automobile tyre, sample of 15 observations have been collected. On the Related Post Cubic and Smoothing...

Read more »

July 2017 New Package Picks

August 27, 2017
By
July 2017 New Package Picks

Two hundred and twenty-four new packages were added to CRAN in July. Below are my picks for the “Top 40” packages arranged in eight categories: Machine Learning, Science, Statistics, Numerical Methods, Statistics, Time Series, Utilities and Visualizations. Science and Numerical Methods are categories that I have not used before. The idea behind the Science category is to find a...

Read more »

A hidden process behind binary or other categorical outcomes?

August 27, 2017
By
A hidden process behind binary or other categorical outcomes?

I was thinking a lot about proportional-odds cumulative logit models last fall while designing a study to evaluate an intervention’s effect on meat consumption. After a fairly extensive pilot study, we had determined that participants can have quite a difficult time recalling precise quantities of meat consumption, so we were forced to move to a categorical response. (This was...

Read more »

Pricing Optimization: How to find the price that maximizes your profit

August 27, 2017
By
Pricing Optimization: How to find the price that maximizes your profit

By Yuri Fonseca Basic idea In this post we will discuss briefly about pricing optimization. The main idea behind this problem is the following question: As manager of a company/store, how much should I charge in order to maximize my … Continue reading →

Read more »

Install R, Python and Pelican Blog Tool on Windows

August 27, 2017
By

Motivation On a previous post I explained how to install R and Python effortlessy. Now I bought a Windows machine and this post concentrates a lot of reading and the experiments I made until I configures everything in order to write this blog post. I use Pelican for my blog, so I had to do a few steps I wasn't aware...

Read more »

Use R and Pelican on Windows

August 27, 2017
By

Motivation On a previous post I explained how to install R and Python effortlessy. Now I bought a Windows machine and this post gathers a lot of reading and experiments I made until I could set everything correctly to write this blog post. I use Pelican for my blog, so I had to do a few steps I wasn't aware of...

Read more »

Marginal effects for negative binomial mixed effects models (glmer.nb and glmmTMB) #rstats

August 27, 2017
By
Marginal effects for negative binomial mixed effects models (glmer.nb and glmmTMB) #rstats

Here’s a small preview of forthcoming features in the ggeffects-package, which are already available in the GitHub-version: For marginal effects from models fitted with glmmTMB() or glmer() resp. glmer.nb(), confidence intervals are now also computed. If you want to test these features, simply install the package from GitHub: library(devtools) devtools::install_github("strengejacke/ggeffects") Here are three examples: library(glmmTMB)

Read more »

WoE and IV Variable Screening with {Information} in R

August 27, 2017
By
WoE and IV Variable Screening with {Information} in R

A short note on information-theoretic variable screening in R w. {information}. Variable screening comes as an important step in the contemporary EDA for predictive modeling: what can we tell about the nature of the relationships between a set of predictors and the dependent before entering the modeling phase? Can we infer something about the predictive power of the independent variables...

Read more »

NYC Citi Bike Visualization – A Hint of Future Transportation

August 26, 2017
By
NYC Citi Bike Visualization – A Hint of Future Transportation

Introduction Like all other sharing systems,  Airbnb the housing sharing system, Uber the car sharing system, Citi Bike is the network of bicycle rental stations intended The post NYC Citi Bike Visualization - A Hint of Future Transportation appeared first on NYC Data Science Academy Blog.

Read more »

Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

Read more »

Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

Read more »

Why I find tidyeval useful

First thing’s first: maybe you shouldn’t care about tidyeval. Maybe you don’t need it. If you exclusively work interactively, I don’t think that learning about tidyeval is important. I can only speak for me, and explain to you why I personally ...

Read more »

Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-7)

August 26, 2017
By
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-7)

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access Related exercise sets: Hacking statistics...

Read more »

wrapr: R Code Sweeteners

August 25, 2017
By
wrapr: R Code Sweeteners

wrapr is an R package that supplies powerful tools for writing and debugging R code. Primary wrapr services include: let() %.__% (dot arrow pipe) := (named map builder) λ() (anonymous function builder) DebugFnW() let() let() allows execution of arbitrary code with substituted variable names (note this is subtly different than binding values for names as … Continue reading wrapr:...

Read more »

Unbottling “.msg” Files in R

August 25, 2017
By
Unbottling “.msg” Files in R

There was a discussion on Twitter about the need to read in “.msg” files using R. The “MSG” file format is one of the many binary abominations created by Microsoft to lock folks and users into their platform and tools. Thankfully, they (eventually) provided documentation for the MSG file format which helped me throw together... Continue reading →

Read more »

Tidy evaluation, most common actions

August 25, 2017
By

Tidy evaluation is a bit challenging to get your head around. Even after reading programming with dplyr several times, I still struggle when creating functions from time to time. I made a small summary of the most common actions I perform, so I don’t have to dig in the vignettes and on stackoverflow over and over. Each is accompanied...

Read more »

Stan Weekly Roundup, 25 August 2017

August 25, 2017
By
Stan Weekly Roundup, 25 August 2017

This week, the entire Columbia portion of the Stan team is out of the office and we didn’t have an in-person/online meeting this Thursday. Mitzi and I are on vacation, and everyone else is either teaching, TA-ing, or attending the Stan course. Luckily for this report, there’s been some great activity out of the meeting The post Stan Weekly...

Read more »

Tips and tricks on using R to query data in Power BI

August 25, 2017
By

In Power BI, the dashboarding and reporting tool, you can use R to filter, transform, or restructure data via the Query Editor. For example, you could use the mice package to impute missing values, or use the tidytext package to assign sentiment scores to text inputs. As Imke Feldmann explains, there are lots of useful tricks you can accomplish...

Read more »

How much will that Texas rain be

August 25, 2017
By
How much will that Texas rain be

PUTTING 35 INCHES OF RAIN IN PERSPECTIVE We are always interested in putting numbers into perspective, so we were interested in this article in which they put the Hurricane Harvey’s rain into perspective. They’re predicting 30-40 inches of rain in a few days in Texas. They asked an expert to put that into perspective and The post How much...

Read more »

Search R-bloggers

Sponsors

Mango solutions







Zero Inflated Models and Generalized Linear Mixed Models with R



Quantide: statistical consulting and training

ODSC2

ODSC1

datasociety

http://www.eoda.de





CRC R books series







Six Sigma Online Training



statcon.de

mljar.com



Contact us if you wish to help support R-bloggers, and place your banner here.