conapomx data package

January 15, 2018
By

I have created a new data package for R to help users obtain national population statistics of Mexico. The conapomx package contains the mxpopulation data set, which is a tidy data.frame containing population estimates from the CONAPO (National Population Commission) official agency. The estimates are divided by age groups, gender, municipality and year. To install, just call CRAN (or github if...

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conapomx data package

January 15, 2018
By

I have created a new data package for R to help users obtain national population statistics of Mexico. The conapomx package contains the mxpopulation data set, which is a tidy data.frame containing population estimates from the CONAPO (National Population Commission) official agency. The estimates are divided by age groups, gender, municipality and year. To install, just call CRAN (or github if...

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Extracting data from Twitter for @hrbrmstr’s #nom foodie images

January 15, 2018
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Extracting data from Twitter for @hrbrmstr’s #nom foodie images

Bob Rudis (@hrbrmstr) is a famed expert, author and developer in Data Security and the Chief Security Data Scientist at Rapid7. Bob also creates the most deliciously vivid images of his meals documented by the #nom hashtag. I’m going to use a similar method used in my previous projects (Hipster Veggies & Machine Learning Flashcards) to wrangle all those...

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5 Things I Learned Making a Package to Work with Hydrometric Data in R

5 Things I Learned Making a Package to Work with Hydrometric Data in R

One of the best things about learning R is that no matter your skill level, there is always someone who can benefit from your experience. Topics in R ranging from complicated machine learning approaches to calculating a mean all find their relevant audiences. This is particularly true when writing R packages. With an ever evolving R package development landscape...

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How to make your machine learning model available as an API with the plumber package

January 15, 2018
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How to make your machine learning model available as an API with the plumber package

The plumber package for R makes it easy to expose existing R code as a webservice via an API (Trestle Technology, LLC 2017). You take an existing R script and make it accessible with plumber by simply adding a few lines of comments. If you have worked with Roxygen before, e.g. when building a package, you will already be familiar with...

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A guide to GPU-accelerated ship recognition in satellite imagery using Keras and R (part I)

January 15, 2018
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A guide to GPU-accelerated ship recognition in satellite imagery using Keras and R (part I)

Problem overview This article will be divided into a series of posts. In this post, I will explain the basic concepts behind convolutional neural networks and how to build them using Keras. In the next post, I will focus on improving the perfor...

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Can’t Stop at 21: Twitter Recipe #22 — Tying Up Loose Threads

January 15, 2018
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Can’t Stop at 21: Twitter Recipe #22 — Tying Up Loose Threads

NOTE: The likelihood of this recipe being added to the recent practice bookdown book is slim, but I’ll try to keep the same format for the blog post. Problem You want to collect all the tweets in a Twitter tweet thread Solution Use a few key functions in rtweet to piece the thread elements back... Continue reading →

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Base R can be Fast

January 15, 2018
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Base R can be Fast

“Base R” (call it “Pure R”, “Good Old R”, just don’t call it “Old R” or late for dinner) can be fast for in-memory tasks. This is despite the commonly repeated claim that: “packages written in C/C++ are faster than R code.” The benchmark results of “rquery: Fast Data Manipulation in R” really called out … Continue reading Base...

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Natural Language Processing for non-English languages with udpipe

January 15, 2018
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Natural Language Processing for non-English languages with udpipe

BNOSAC is happy to announce the release of the udpipe R package (https://bnosac.github.io/udpipe/en) which is a Natural Language Processing toolkit that provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization', 'morphological feature tagging' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format...

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«smooth» package for R. Common ground. Part III. Exogenous variables. Basic stuff

January 15, 2018
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«smooth» package for R. Common ground. Part III. Exogenous variables. Basic stuff

One of the features of the functions in smooth package is the ability to use exogenous (aka “external”) variables. This potentially leads to the increase in the forecasting accuracy (given that you have a good estimate of the future exogenous variable). For example, in retail this can be a binary variable for promotions and we

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Scale up your interest: key steps for getting into data science

January 15, 2018
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Scale up your interest: key steps for getting into data science

...

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ANNOUNCEMENT: EARL US Roadshow + abstract submissions open

January 15, 2018
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ANNOUNCEMENT: EARL US Roadshow + abstract submissions open

...

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Field Guide to the R Ecosystem

January 15, 2018
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Field Guide to the R Ecosystem

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RStudio Addin Manager

January 14, 2018
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RStudio Addin Manager

rsam provides a command line and user interface to manage RStudio addins. You can show or hide the addins in the RStudio IDE dropdown menu and set keyboard shortcuts for them. Installation Since rsam manages the RStudio addins it must write to disk. For this reason the package cannot be hosted on CRAN. #install.packages('remotes') remotes::install_github('yonicd/rsam') Usage library(rsam) User Interface The user interface is a shiny application that...

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digest 0.6.14

January 14, 2018
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Another small maintenance release, version 0.6.14, of the digest package arrived on CRAN and in Debian today. digest creates hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) perm...

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Top interactive visualizations of movie scripts

January 14, 2018
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Top interactive visualizations of movie scripts

One of the highest pleasures for an academic teacher is to be surprised by an extraordinary student’s project or homework. Something that greatly exceeds expectations. I’ve reoriented my courses in a way to make such surprises frequent. The second project in my Data Visualisation classes was related to interactive graphics. The task was to create … Czytaj dalej Top...

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Sketchnotes from TWiML&AI #91: Philosophy of Intelligence with Matthew Crosby

January 13, 2018
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Sketchnotes from TWiML&AI #91: Philosophy of Intelligence with Matthew Crosby

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Philosophy of Intelligence with Matthew Crosby: You can listen to the podcast here. This week on the podcast we’re featuring a series of conversa...

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P-values from random effects linear regression models

January 13, 2018
By

 is a useful frequentist approach to hierarchical/multilevel linear regression modelling. For good reason, the model output only includes t-values and doesn’t include p-values (partly due to the difficulty in estimating the degrees of freedom, as discussed here). Yes, p-values are evil and we should continue to try and expunge them from our analyses. But I

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Setting up RStudio Server quickly on Amazon EC2

January 13, 2018
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Setting up RStudio Server quickly on Amazon EC2

I have recently been working on projects using Amazon EC2 (elastic compute cloud), and RStudio Server. I thought I would share some of my working notes. Amazon EC2 supplies near instant access to on-demand disposable computing in a variety of sizes (billed in hours). RStudio Server supplies an interactive user interface to your remote R … Continue reading Setting...

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Replicating Volatiltiy ETN Returns From CBOE Futures

January 12, 2018
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Replicating Volatiltiy ETN Returns From CBOE Futures

This post will demonstrate how to replicate the volatility ETNs (XIV, VXX, ZIV, VXZ) from CBOE futures, thereby allowing any … Continue reading →

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Services and tools for building intelligent R applications in the cloud

January 12, 2018
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by Le Zhang (Data Scientist, Microsoft) and Graham Williams (Director of Data Science, Microsoft) As an in-memory application, R is sometimes thought to be constrained in performance or scalability for enterprise-grade applications. But by deploying R in a high-performance cloud environment, and by leveraging the scale of parallel architectures and dedicated big-data technologies, you can build applications using R...

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Making Your .C Less NOTEworthy

January 11, 2018
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Making Your .C Less NOTEworthy

If you are a package maintainer, you may have noticed the following new notes from your code checks: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ If you are using Rcpp you can easily fix this by refreshing the auto-generated function registration. However, if you have a lot of C code that uses the .C() interface, then you need to...

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How to implement neural networks in R

January 11, 2018
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How to implement neural networks in R

If you've ever wondered how neural networks work behind the scenes, check out this guide to implementing neural networks in scratch with R, by David Selby. You may be surprised how with just a little linear algebra and a few R functions, you can train a function that classifies the red dots from the blue dots in a complex...

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RStudio Connect v1.5.12

January 11, 2018
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RStudio Connect v1.5.12

We’re pleased to announce RStudio Connect 1.5.12. This release includes support for viewing historical content, per-application timeout settings, and important improvements and bug fixes. Historical Content RStudio Connect now retains and displays historical content. By selecting the content’s history, viewers can easily navigate, compare, and email prior versions of content. Historical content is especially valuable for scheduled reports. Previously published...

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Fitting a TensorFlow Linear Classifier with tfestimators

January 11, 2018
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Fitting a TensorFlow Linear Classifier with tfestimators

In a recent post, I mentioned three avenues for working with TensorFlow from R: * The keras package, which uses the Keras API for building scaleable, deep learning models * The tfestimators package, which wraps Google’s Estimators API for fitting models with pre-built estimators * The tensorflow package, which provides an interface to Google’s low-level TensorFlow API In this post, Edgar and...

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.rprofile: Karthik Ram

.rprofile: Karthik Ram

Karthik Ram is a Data Scientist at the Berkeley Institute for Data Science and Berkeley Institute for Global Change Biology. He is a co-founder of rOpenSci, a collective to support the development of R-based tools which facilitate open science and access to open data. In this interview, Karthik and I discuss the birth of rOpenSci, tools and life hacks...

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Deep Learning from first principles in Python, R and Octave – Part 2

January 11, 2018
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Deep Learning from first principles in Python, R and Octave – Part 2

“What does the world outside your head really ‘look’ like? Not only is there no color, there’s also no sound: the compression and expansion of air is picked up by the ears, and turned into electrical signals. The brain then presents these signals to us as mellifluous tones and swishes and clatters and jangles. Reality … Continue reading Deep...

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Introducing editheme: Palettes and graphics matching your RStudio editor

January 11, 2018
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Introducing editheme: Palettes and graphics matching your RStudio editor

I use RStudio every day at work. And every day my eyes say thank you to the developers for implementing themes support for the editor, and more recently a complete dark skin for the GUI. Dark themes are not only important for your health and the health of the planet. They are also absolutely essential to look cool in...

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Last day: Data science courses in R (/python/etc.) for $11 at Udemy (New Year sale)

January 11, 2018
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Last day: Data science courses in R (/python/etc.) for $11 at Udemy (New Year sale)

Udemy is offering readers of R-bloggers access to its global online learning marketplace for only $10 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL (R and non-R) courses Advanced R courses:  Regression modelling Comprehensive Linear Modeling with R (15 Hours of video) Linear regression in...

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