Mazama Science has just released the PWFSLSmoke package. Source code is available on GitHub. Here is the package description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for …   read more ... [Read more...]

This post contains references to profane language. All instances of profanity on this page have been censored. The post is part tutorial with code chunks, if you are uninterested in the data manipulation steps you can jump to Visualizing Profanity in Chat to see the results. Background In this post ... [Read more...]

Just heard the sad news that Peter Lee, British Bayesian and author of Bayesian Statistics: An Introduction, has passed away yesterday night. While I did not know him, I remember meeting him at a few conferences in the UK and spending an hilarious evening at the pub. When the book ... [Read more...]

Plotly.js now supports candlestick charts as a chart-type and in this post we’ll highlight how to use this feature in R. We’ll use the quantmod package to retrieve data as well as generate some technical trading signals. Don’t forget to install the latest version of plotly ... [Read more...]

In our first post on the useR! 2016 survey we discussed the responses from the demographic section, finding in particular that: The useR! 2016 attendees were predominately men, typically under 40, White/Caucasian and employed full-time. Women attendees tended to be younger and less advanced in their careers. Non-Asian minority races and LGBT ... [Read more...]

In our first post on the useR! 2016 survey we discussed the responses from the demographic section, finding in particular that: The useR! 2016 attendees were predominately men, typically under 40, White/Caucasian and employed full-time. Women attend... [Read more...]

In the exercises below we cover some more material on multiple regression diagnostics in R. This includes added variable (partial-regression) plots, component+residual (partial-residual) plots, CERES plots, VIF values, tests for heteroscedasticity (nonconstant variance), tests for Normality, and a test for autocorrelation of residuals. These are perhaps not as common ... [Read more...]

I was once in a meeting discussing a time series modelling and forecasting challenge where it was suggested that “the beauty of regression is you just add in more variables and more lags of variables and try the combinations until you get something that fits really well”. Well, no, it ... [Read more...]

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by Carlos Ortega (Editors note: A Spanish verison of the post follows the English text) In the first meeting we were 5, now we are consistently over 60. It was not difficult for us to start up the group of users of R of Madrid. Gregorio Serrano, Carlos Gil Bellosta, Pedro Concejero ... [Read more...]

The Data Science Virtual Machine (DSVM) is a virtual machine image on the Azure Marketplace assembled for data scientists. The goal of the DSVM is provide a broad array of popular data-oriented tools in a single environment, and make data scientists and developers highly productive in their work. It's available ... [Read more...]

This is a brief (and likely obvious, for some folks) post on the dplyr::case_when() function. Part of my work-work is dealing with data from internet scans. When we’re performing a deeper inspection of a particular internet protocol or service we try to capture as much system and ... [Read more...]

One of the core features of RDocumentation.org is its search functionality. From the start, we wanted to have a super simple search bar that finds what you are looking for, without a complex form asking for a package name, function name, versions or an... [Read more...]

Polling data and other goodies ready for download A new version, 0.3.0, of the nzelect R package is now available on CRAN. historical polling data from 2002 to February 2017, sourced from Wikipedia some small functions to help convert voting numb... [Read more...]

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(Editors note: A Spanish verison of the post follows the English text) In the first meeting we were 5, now we are consistently over 60. It was not difficult for us to start up the group of users of R of Madrid. Gregorio Serrano, Carlos Gil Bellosta, Pedro Concejero and I started ... [Read more...]

(Editors note: A Spanish verison of the post follows the English text) In the first meeting we were 5, now we are consistently over 60. It was not difficult for us to start up the group of users of R of Madrid. Gregorio Serrano, Carlos Gil Bellost... [Read more...]

In this blog post I share some lesser-known (at least I believe they are) tricks that use mainly functions from dplyr. Removing unneeded columns Did you know that you can use - in front of a column name to remove it from a data frame?

mtcars %>% 
    select(-disp) %>% 
    head()

##                    mpg cyl  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6 105 2.76 3.460 20.22  1  0    3    1

Re-ordering columns Still ... [Read more...]

by Le Zhang (Data Scientist, Microsoft) and Graham Williams (Director of Data Science, Microsoft) Employee retention has been and will continue to be one of the biggest challenges of a company. While classical tactics such as promotion, competitive perks, etc. are practiced as ways to retain employees, it is now ... [Read more...]