September, 2017 | R-bloggers

Nested Resampling with rsample

September 4, 2017 | Max Kuhn

A typical scheme for splitting the data when developing a predictive model is to create an initial split of the data into a training and test set. If resampling is used, it is executed on the training set where a series of binary splits is created. In rsample, we use ...

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Readability Redux

September 4, 2017 | hrbrmstr

I recently posted about using a Python module to convert HTML to usable text. Since then, a new package has hit CRAN dubbed htm2txt that is 100% R and uses regular expressions to strip tags from text. I gave it a spin so folks could compare some basic output, but ... [Read more...]

How we built a Shiny App for 700 users?

September 4, 2017 | Appsilon Data Science Blog

One of our data scientists, Olga Mierzwa-Sulima spoke at the User Conference in Brussels to a packed house. The seats were full and there were audience members spilling out the doors. Source: https://twitter.com/matlabulous/status/882530484374392834... [Read more...]

Keras for R

September 4, 2017 | JJ Allaire

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or ...

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Keras for R

September 4, 2017 | JJ Allaire

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation. Keras has the following key features: Allows the same code to run on CPU or ...

[Read more...]

Writing and Publishing my first R package

September 4, 2017 | R Views

Inspired by the Community One of the themes at useR 2017 in Brussels was “Get involved”. People were encouraged to contribute to the community, even when they did not consider themselves R specialists (yet). This could be by writing a package or a blog post, but also by simply correcting typos ... [Read more...]

A guide to parallelism in R

September 4, 2017 | Florian Privé

In this post, I will talk about parallelism in R. This post will likely be biased towards the solutions I use. For example, I never use mcapply nor clusterApply. I prefer to always use foreach. In this post, we will focus on how to parallelize R code on your computer. ... [Read more...]

Further considerations of a hidden process underlying categorical responses

September 4, 2017 | Keith Goldfeld

In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am ...

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Thou shalt not compare numeric values (except when it works)

September 4, 2017 | Jonathan Carroll

This was just going to be a few Tweets but it ended up being a bit of a rollercoaster of learning for me, and I haven’t blogged in far too long, so I’m writing it up quickly as a ‘hey look at that’ example for newcomers. I’ve ...

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Analyzing Google Trends Data in R

September 4, 2017 | Jake Hoare

Google Trends shows the changes in the popularity of search terms over a given time (i.e., number of hits over time). It can be used to find search terms with growing or decreasing popularity or to review periodic variations from the past such as seasonality. Google Trends search data ...

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Package GetLattesData

September 4, 2017 | R and Finance

Downloading and reading bibliometric data from Lattes - Lattes is the largest and unique platform for academic curriculumns. There you can find information about the academic work of ALL Brazilian scholars. It includes institution... [Read more...]

Calculating Marginal Effects Exercises

September 4, 2017 | BC Mullins

A common experience for those in the social sciences migrating to R from SPSS or STATA is that some procedures that happened at the click of a button will now require more work or are too obscured by the unfamiliar language to see how to accomplish. One such procedure that ... [Read more...]

Thou shalt not compare numeric values (except when it works)

September 3, 2017 | Jonathan Carroll

This was just going to be a few Tweets but it ended up being a bit of a rollercoaster of learning for me, and I haven’t blogged in far too long, so I’m writing it up quickly as a ‘hey...Continue Reading →

[Read more...]

Topic Modeling of New York Times Articles

September 3, 2017 | Susan Li

In machine learning and natural language processing, A “topic” consists of a cluster of words that frequently occur together. A topic model is a type of statistical model for discovering the abstract “topics” that occur in a collection of ...

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Migrating from GitHub to GitLab with RStudio (Tutorial)

September 3, 2017 | Dr. Shirin Glander

GitHub vs. GitLab Git is a distributed implementation of version control. Many people have written very eloquently about why it is a good idea to use version control, not only if you collaborate in a team but also if you work on your own; one example is this article from ...

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Zalando’s images classification using H2O with R

September 3, 2017 | Appsilon Data Science Blog

Fashion-MNIST About three weeks ago the Fashion-MNIST dataset of Zalando’s article images, which is a great replacement of classical MNIST dataset, was released. In the following article we will try to build a strong classifier using H2O and R. Eac... [Read more...]

Migrating from GitHub to GitLab with RStudio (Tutorial)

September 3, 2017 | Shirin's playgRound

GitHub vs. GitLab Git is a distributed implementation of version control. Many people have written very eloquently about why it is a good idea to use version control, not only if you collaborate in a team but also if you work on your own; one example ...

[Read more...]

It is Needlessly Difficult to Count Rows Using dplyr

September 3, 2017 | John Mount

Question: how hard is it to count rows using the R package dplyr? Answer: surprisingly difficult. When trying to count rows using dplyr or dplyr controlled data-structures (remote tbls such as Sparklyr or dbplyr structures) one is sailing between Scylla and Charybdis. The task being to avoid dplyr corner-cases and ...

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Variable Selection with Elastic Net

September 3, 2017 | statcompute

LASSO has been a popular algorithm for the variable selection and extremely effective with high-dimension data. However, it often tends to “over-regularize” a model that might be overly compact and therefore under-predictive. The Elastic Net addresses the aforementioned “over-regularization” by balancing between LASSO and ridge penalties. In particular, a hyper-parameter, ... [Read more...]

Combining and comparing models using Model Confidence Set

September 3, 2017 | insightr

By Gabriel Vasconcelos In many cases, especially if you are dealing with forecasting models, it is natural to use a large set of models to forecast the same variable and then select the best model using some error measure. For … Continue reading →

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

September 2017

Nested Resampling with rsample

Readability Redux

How we built a Shiny App for 700 users?

Keras for R

Keras for R

Writing and Publishing my first R package

A guide to parallelism in R

Further considerations of a hidden process underlying categorical responses

Thou shalt not compare numeric values (except when it works)

Analyzing Google Trends Data in R

Package GetLattesData

Calculating Marginal Effects Exercises

Thou shalt not compare numeric values (except when it works)

Topic Modeling of New York Times Articles

Migrating from GitHub to GitLab with RStudio (Tutorial)

Zalando’s images classification using H2O with R

Migrating from GitHub to GitLab with RStudio (Tutorial)

It is Needlessly Difficult to Count Rows Using dplyr

Variable Selection with Elastic Net

Combining and comparing models using Model Confidence Set

September 2017

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