A Shiny App to Draw Curves Based on L-System

June 26, 2017
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A Shiny App to Draw Curves Based on L-System

Don’t worry about a thing ’cause every little thing gonna be alright (Three Little Birds, Bob Marley) One of my favourite books is The Computational Beauty of Nature by Gary William Flake where there is a fantastic chapter about fractals in which I discovered the L-Systems. L-Systems were conceived  in 1968 by Aristide Lindenmayer, a Hungarian … Continue reading A...

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Useful tricks when including images in Rmarkdown documents

June 26, 2017
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Rmarkdown is an enormously useful system for combining text, output and graphics generated by R into a single document. Images, in particular, are a powerful means of communication in...

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bigrquery 0.4.0

June 26, 2017
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bigrquery 0.4.0

I’m pleased to announce that bigrquery 0.4.0 is now on CRAN. bigrquery makes it possible to talk to Google’s BigQuery cloud database. It provides both DBI and dplyr backends...

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Weighted population density

June 26, 2017
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Weighted population density

DENSITY THE AVERAGE PERSON EXPERIENCES CLICK TO ENLARGE In Alaska, there’s about one person for each square mile of land. You might picture a typical Alaskan not being able...

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Please Consider Using wrapr::let() for Replacement Tasks

June 26, 2017
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(This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers) From dplyr issue 2916. The following appears to work. suppressPackageStartupMessages(library("dplyr")) COL % group_by(.data]) %>%...

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Visualizing Time Series Data in R

June 26, 2017
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Visualizing Time Series Data in R

I’m very pleased to announce my DataCamp course on Visualizing Time Series Data in R. This course is also part of the  Time Series with R skills track. Feel free...

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Check Data Quality with padr

June 26, 2017
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Check Data Quality with padr

The padr package was designed to prepare datetime data for analysis. That is, to take raw, timestamped data, and quickly convert it into a tidy format that can be...

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Volatility modelling in R exercises (Part-1)

June 26, 2017
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Volatility modelling in R exercises (Part-1)

Volatility modelling is typically used for high frequency financial data. Asset returns are typically uncorrelated while the variation of asset prices (volatility) tends to be correlated across time. In...

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Data Munging With R Preview — Storing Values (Assigning)

June 26, 2017
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Data Munging With R Preview — Storing Values (Assigning)

Since about October last year, I’ve been writing an introduction to R book. It’s been quite the experience. I’ve finally started making time to document some of the interesting...

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pixel art of ggplot2 faceting using geofacet

June 26, 2017
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pixel art of ggplot2 faceting using geofacet

I just discovered an interesting ggplot2 extension, geofacet, that supports arranging facet panels that mimics geographic topoloty. After playing with it, I realized that it is not only for visualizing...

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H2O Benchmark for CSV Import

June 25, 2017
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H2O Benchmark for CSV Import

The importFile() function in H2O is extremely efficient due to the parallel reading. The benchmark comparison below shows that it is comparable to the read.df() in SparkR and significantly...

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Balancing on multiple factors when the sample is too small to stratify

June 25, 2017
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Ideally, a study that uses randomization provides a balance of characteristics that might be associated with the outcome being studied. This way, we can be more confident that any...

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Hex stickers for the forecast package

June 25, 2017
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I’ve caved in to the hex sticker craze, and produced some hex stickers for the forecast package for R. If you attend a workshop I teach, I’ll give you...

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Data visuals notes for my talks in 2017

June 25, 2017
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Data visuals notes for my talks in 2017

Data visuals: notes for my talks in 2017 Supplementary notes for CJ Brown’s talks on dataviz in 2017 for Griffith University’s honours students and the UQ Winterschool in Bioinformatics. Skip to the quiz Visualsing...

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Data Visualization with googleVis exercises part 4

June 25, 2017
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Data Visualization with googleVis exercises part 4

Adding Features to your Charts We saw in the previous charts some basic and well-known types of charts that googleVis offers to users. Before continuing with other, more sophisticated...

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R Weekly Bulletin Vol – XII

June 25, 2017
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R Weekly Bulletin Vol – XII

This week’s R bulletin will cover topics on how to resolve some common errors in R. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Find...

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Using Tweedie Parameter to Identify Distributions

June 24, 2017
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Using Tweedie Parameter to Identify Distributions

In the development of operational loss models, it is important to identify which distribution should be used to model operational risk measures, e.g. frequency and severity. For instance, why...

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Using tidycensus and leaflet to map Census data

June 23, 2017
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Recently, I have been following the development and release of Kyle Walker’s tidycensus package. I have been filled with amazement, delight, and well, perhaps another feeling… There should be a...

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Track changes in data with the lumberjack %>>%

June 23, 2017
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Track changes in data with the lumberjack %>>%

So you are using this pipeline to have data treated by different functions in R. For example, you may be imputing some missing values using the simputation package. Let...

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The R community is one of R’s best features

June 23, 2017
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The R community is one of R’s best features

R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to...

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Logarithmic Scale Explained with U.S. Trade Balance

June 23, 2017
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Logarithmic Scale Explained with U.S. Trade Balance

Skewed data prevail in real life. Unless you observe trivial or near constant processes data is skewed one way or another due to outliers, long tails, errors or something...

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Working With SPSS© Data in R

Working With SPSS© Data in R

Introduction I was in need of importing SPSS© data for work. There are some options but I've used both foreign and haven R packages. I prefer haven because it integrates...

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State-space modelling of the Australian 2007 federal election

June 23, 2017
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State-space modelling of the Australian 2007 federal election

Pooling the polls with Bayesian statistics In an important 2005 article in the Australian Journal of Political Science, Simon Jackman set out a statistically-based approach to pooling polls in an...

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Operations Research with R

June 23, 2017
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Stefan Feuerriegel This blog entry concerns our course on “Operations Reserch with R” that we teach as part of our study program. We hope that the materials are of...

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Hey! You there! You are welcome here

June 23, 2017
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Hey! You there! You are welcome here

What's that? You've heard of R? You use R? You develop in R? You know someone else who's mentioned R? Oh, you're breathing? Well, in that case, welcome! Come...

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Face Recognition in R

June 22, 2017
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Face Recognition in R

Face Recognition in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little...

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May New Package Picks

June 22, 2017
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May New Package Picks

Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized into five categories: Data, Data Science and Machine...

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Set Theory Arbitrary Union and Intersection Operations with R

June 22, 2017
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Part 3 of 3 in the series Set TheoryThe union and intersection set operations were introduced in a previous post using two sets, and . These set operations can...

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RTutor: Emission Certificates and Green Innovation

RTutor: Emission Certificates and Green Innovation

Which policy instruments should we use to cost-effectively reduce greenhouse gas emissions? For a given technological level there are many economic arguments in favour of tradeable emission certificates or...

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