BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

January 4, 2017
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BelgiumMaps.StatBel: R package with Administrative boundaries of Belgium

We recently opened up the BelgiumMaps.StatBel package and made it available at https://github.com/bnosac/BelgiumMaps.StatBel. This R package contains maps with administrative boundaries (national, regions, provinces, districts, municipalities, statistical sectors, agglomerations (200m)) of Belgium extracted from Open Data at Statistics Belgium.  The package is a data-only package where maps of administrative zones in Belgium are...

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EVENT Announcement: EARL Conferences 2017

January 4, 2017
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Mango Solutions are delighted to announce that the Effective Applications of the R Language Conference (EARL) will be held in three locations this year: San Francisco Bay Area – June 2017 London – 12-14 September 2017 Boston – November 2017 … Continue reading →

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Sentiment analysis and Parts of Speech tagging in Dutch/French/English/German/Spanish/Italian

January 4, 2017
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Sentiment analysis and Parts of Speech tagging in Dutch/French/English/German/Spanish/Italian

As part of our continuing effort to digitise poetry and to automate new forms of poetry, we released an R package called pattern.nlp, which is available at https://github.com/bnosac/pattern.nlp . It allows R users to do sentiment analysis and Parts of Speech tagging for text written in Dutch, French, English, German, Spanish or Italian. Of course this can also...

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Text Mining with R – upcoming training schedule

January 4, 2017
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Text Mining with R – upcoming training schedule

Part of the R course offering of BNOSAC which you can find at http://bnosac.be/images/bnosac/bnosac_courses_r.pdf, we offer several 2-day hands-on courses covering the use of text mining tools for the purpose of data analysis. It covers basic text hand...

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Good news from Belgium: Course on Applied spatial modelling with R (April 13-14)

January 4, 2017
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Good news from Belgium: Course on Applied spatial modelling with R (April 13-14)

Within 2 weeks, our 2-day crash course on Applied spatial modelling with R (April 13-14, 2016) will be given at the University of Leuven, Belgium: https://lstat.kuleuven.be/training/applied-spatial-modelling-with-rYou'll learn during this course the following elements: The sp package to handle spatial data (spatial points, lines, polygons, spatial data frames) Importing spatial data and setting the spatial projection Plotting...

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New RStudio add-in to schedule R scripts

January 4, 2017
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New RStudio add-in to schedule R scripts

With the release of RStudio add-in possibilities, a new area of productivity increase and expected new features for R users has arrived. Thanks to the help of Oliver who has written an RStudio add-in on top of taskscheduleR, scheduling and automating an R script from RStudio is now exactly one click away if you are working...

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taskscheduleR: R package to schedule R scripts with the Windows task manager

January 4, 2017
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taskscheduleR: R package to schedule R scripts with the Windows task manager

If you are working on a Windows computer and want to schedule your R scripts while you are off running, sleeping or having a coffee break, the taskscheduleR package might be what you are looking for.  The taskscheduleR R package is available at https://github.com/jwijffels/taskscheduleR and it allows R users to do the following: i) Get...

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Easy machine learning pipelines with pipelearner: intro and call for contributors

January 4, 2017
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Easy machine learning pipelines with pipelearner: intro and call for contributors

@drsimonj here to introduce pipelearner – a package I’m developing to make it easy to create machine learning pipelines in R – and to spread the word in the hope that some readers may be interested in contributing or testing it. This post will demonstrate some examples of what pipeleaner can currently do. For example, the Figure below plots...

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Web scraping with R & novel classification algorithms on unbalanced data

January 4, 2017
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Web scraping with R & novel classification algorithms on unbalanced data

Tomorrow, the next RBelgium meeting will be held at the bnosac offices. This is the schedule. Interested? Feel free to join the event. More info: http://www.meetup.com/RBelgium/events/228427510/ • 18h00-18h30: enter & meet other R users • 18h30-19h00: Web scraping with R: live scraping products & prices of www.delhaize.be • 19h15-20h00: State-of-the-art classification algorithms with unbalanced data. Package...

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Cross-validation of topic modelling

January 4, 2017
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Cross-validation of topic modelling

Determining the number of “topics” in a corpus of documents In my last post I finished by topic modelling a set of political blogs from 2004. I made a passing comment that it’s a challenge to know how many topics to set; the R topicmodels pack...

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Global Temp: Raw & Adjusted Sea-Surface Temps

January 4, 2017
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Global Temp: Raw & Adjusted Sea-Surface Temps

In the last post I created a gif summarizing the HadCRUT4 sea-surface temperature (HadSST3) data as its data collection evolved over time. The goal of the last post was simply to visualize presence of any temperature measurement in a given matrix gr...

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Package ‘colr’: Selecting Columns in ‘R’

January 4, 2017
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If you develop in 'R', like me, you may find yourself frequently selecting named data from  a data set, such as a data frame or matrix. 'R' supplies many ways to do this, but the syntax depends on the data type. So I wrote this package (named 'colr') with one syntax for all types. It uses a very powerful...

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Update jsonlite 1.2

January 4, 2017
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A new version of jsonlite package to CRAN. This is a maintenance release with enhancements and bug fixes. A summary of changes in v1.2 from the NEWS file: Add read_json and write_json convenience wrappers, #161 Update modp_numtoa from upstream, fixes a rounding issue in #148. Ensure asJSON.POSIXt does not use sci notation for negative values, #155 Tweak num_to_char...

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R/Finance 2017: Call for Papers

January 4, 2017
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R/Finance 2017: Applied Finance with RMay 19 and 20, 2017University of Illinois at ChicagoThe ninth annual R/Finance conference for applied finance using R will be held on May 19 and 20, 2017 in Chicago, IL, USA at the University of Illinois at Chicago.  The conference will cover topics including portfolio management, time series analysis, advanced risk tools,...

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Explaining Statistical Goodness of fit Tests with Beer

January 3, 2017
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Explaining Statistical Goodness of fit Tests with Beer

Statistics + Beer = Comprehension - A goodness of fit test are a collection of statistical techniques used to summarize the differences between observed values and expected values. These tests can be used be used for hypothesis testing, testi...

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Function to create an amortization fund table in R

January 3, 2017
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Function to create an amortization fund table in R

Function to create an amortization fund table.We establish the precision with which we want to work options(digits = 7)we say we do not want to work in scientific notation  options(scipen = 999) We declare vectors to store the values of the different variablesI <- numeric();CA <<- numeric();SF <<- numeric() We give values for the amount, number of periods and...

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digest 0.6.11

January 3, 2017
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A new minor release with version number 0.6.11 of the digest package is now on CRAN and in Debian. It is mostly a maintenance release. Sometime last spring we were asked to consider changing the license GPL-2 to GPL (>= 2). Having gotten agreement...

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truncated normal algorithms

January 3, 2017
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truncated normal algorithms

Nicolas Chopin (CREST) just posted an entry on Statisfaction about the comparison of truncated Normal algorithms run by Alan Rogers, from the University of Utah. Nicolas wrote a paper in Statistics and Computing about a simulation method, which proposes a Ziggurat type of algorithm for this purpose, and which I do not remember reading, thanks

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Brief tutorial to perform descriptive statistics using R with two examples.

January 3, 2017
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Brief tutorial to perform descriptive statistics using R with two examples.

Using a pair of databases we will do a brief and basic analysis of descriptive statistics using R.At the end of the article you can find the corresponding links to get both the script and the databases so that you can perform the exercise. Install and load the packages we are going to useinstall.packages("sm")install.packages("plotrix")library(sm)library(plotrix)library(grDevices)...

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RStudio on RaspberryPi 3

January 3, 2017
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I have been able to build RStudio server on my RaspberryPi 3. One change was crucial: I added a 16GB swap file on an external disk to my system (mounting the external drive and using dphys-swapfile – available in Raspbian) I used the current version of Raspbian (Jessie), updated all packages, and did sudo apt-get

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The biggest R stories from 2016

January 3, 2017
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The biggest R stories from 2016

It's been another great year for the R project and the R community. Let's look at some of the highlights from 2016. The R 3.3 major release brought some significant performance improvements to R, along with a spiffy new logo. There were also two updates in 2016: R 3.3.1 and R 3.3.2. (The R 3.2 series also received an...

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Descriptive Analytics-Part 6: Interactive dashboard ( 1/2)

January 3, 2017
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Descriptive Analytics-Part 6: Interactive dashboard ( 1/2)

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it is useful to be able to

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Working with Shapefiles in R Exercises

January 3, 2017
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Working with Shapefiles in R Exercises

R has many powerful libraries to handle spatial data, and the things that R can do with maps can only grow. This exercise tries to demonstrate a few basic functionalities of R while dealing with shapefiles. A shapefile is a simple, nontopological format for storing the geometric location and attribute information of geographic features. Geographic

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Commercial Applications using R

January 3, 2017
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Commercial Applications using R

Introduction R language can also be used for commercial applications. In this article, I will describe how R language can be used for a commercial application like Payroll. In this exercise let us assume that in a typical Indian Company, every employee gets two types of allowances called Dearness Allowance(DA) and House Rent Allowance(HRA) besides … Continue...

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Why R is the best data science language to learn today

January 3, 2017
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Why R is the best data science language to learn today

In last week’s blog, I explained why you should Master R (even if it may eventually become obsolete). I wrote that article to address people who claim mastering R is a bit of a waste of time (because it will eventually become obsolete). But when I suggested that R may eventually become obsolete, this seemed The post

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R Jobs for R users – 8 jobs from around the world (2017-01-03)

January 3, 2017
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R Jobs for R users – 8 jobs from around the world (2017-01-03)

  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 is also a “featured job” option 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 Analyst...

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Using R to download high frequency trade data directly from Bovespa

January 3, 2017
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Using R to download high frequency trade data directly from Bovespa

Using package GetHFData - Recently, Bovespa, the Brazilian financial exchange company, allowed external access to its ftp site. In this address one can find several information regarding the Brazilian financial system, including d...

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Use CSS to format markdown or HTML files

January 3, 2017
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Use CSS to format markdown or HTML files

Markdown (and Rmarkdown) are great ways to quickly develop material without worrying about the formatting. The documents can then be compiled using the knitr or rmarkdown packages to output formats such as HTML, latex, or even word. The main drawback o...

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Introducing the VisualResume (v0.1.0) R Package

January 2, 2017
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Introducing the VisualResume (v0.1.0) R Package

Visual Resumes are cool Some years ago, during the course of one of my regular Google image searches for inspiring designs, I discovered Visual Resumes (aka. Infographic Resumes) like this one from Michael Anderson. I immediately fell in love. And of course, I quickly set out to create my own in R. The result is a new package called VisualResume....

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