2019

How confident are you? Assessing the uncertainty in forecasting

October 18, 2019 | Ivan Svetunkov

Introduction Some people think that the main idea of forecasting is in predicting the future as accurately as possible. I have bad news for them. The main idea of forecasting is in decreasing the uncertainty. Think about it: any event that we want to predict has some systematic components \(\mu_...

XAI in the jungle of competing frameworks for machine learning

October 18, 2019 | Przemyslaw Biecek

https://xkcd.com/927/Recently, I have faced a tough challenge. We were doing a proof of concept for the champion-challenger analysis + XAI exploration. It was done with a business partner that has its models written as if-else queries in salesforce. Pa...

Vignette: Google Trends with the gtrendsR package

October 17, 2019 | Martin Chan

Background Google Trends is a well-known, free tool provided by Google that allows you to analyse the popularity of top search queries on its Google search engine. In market exploration work, we often use Google Trends to get a very quick view of what behaviours, language, and general things are ...

three birthdays and a numeral

October 17, 2019 | xi'an

The riddle of the week on The Riddler was to find the size n of an audience for at least a 50% chance of observing at least one triplet of people sharing a birthday, as is the case in the present U.S. Senate. The question is much harder to solve ...

Practical Data Science with R 2nd Edition update

October 17, 2019 | John Mount

We are in the last stages of proofing the galleys/typesetting of Zumel, Mount, Practical Data Science with R, 2nd Edition, Manning 2019. So this edition will definitely be out soon! If you ever wanted to see what Nina Zumel and John Mount are like when we have the help of ... [Read more...]

Job: Junior Systems Administrator (with a focus on R/Python)

October 17, 2019 | Colin Gillespie

Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and infrastructure support. Jumping Rivers is an RStudio Full Service Certified Partner. This role is suitable for anyone interested in deploying (Linux-based) ... [Read more...]

rBokeh – Don’t be stopped by missing arguments!

October 17, 2019 | Matthias Nistler

rBokeh is an interactive plotting library. Since it functions lack some arguments compared to its Python counterpart, plots are sometimes difficult to customize. I will show how to overcome those issues and drill out the plot objects. Der Beitrag rBokeh – Don't be stopped by missing arguments! erschien zuerst auf STATWORX.

Repetitive Q: Reading Multiple Files in the Zip Folder

October 17, 2019 | Pradeep Mavuluri

Dear Readers,I always see a repetitive question coming to me and across various forums on how to read multiple files in the zip folder of same separator or multiple separator. Again, here, lets not compromise on speed.Solution is to use easycsv package in R, which in turn uses ... [Read more...]

Automatic DAG learning – part 1

October 16, 2019 | R on Just be-cause

I was really struggling with finding a header pic for this post when I came across the one above - titled “Dag scoring and selection” and since it’s sort of the topic of this post I decided to use it! Intro On my second post I’ve stressed how ...

2 Months in 2 Minutes – rOpenSci News, October 2019

October 16, 2019 | rOpenSci - open tools for open science

rOpenSci HQ What would you like to hear about in an rOpenSci Community Call? We are soliciting your “votes” and new ideas for Community Call topics and speakers. Find out how you can influence us by checking out our new Community Calls repository. Videos, speaker’s slides, resources and collaborative ... [Read more...]

Productionizing Shiny and Plumber with Pins

October 16, 2019 | R Views

Producing an API that serves model results or a Shiny app that displays the results of an analysis requires a collection of intermediate datasets and model objects, all of which need to be saved. Depending on the project, they might need to be reused in another project later, shared with ...

Map coloring: the color scale styles available in the tmap package

October 16, 2019 | the Geocomputation with R website

This vignette builds on the making maps chapter of the Geocomputation with R book. Its goal is to demonstrate all possible map styles available in the tmap package. Prerequisites The examples below assume the following packages are attached:

library(spData) # example datasets
library(tmap)   # map creation
library(sf)     # spatial data reprojection

The world object containing a world map data from Natural Earth ...

Non-Gaussian forecasting using fable

October 16, 2019 | R on Rob J Hyndman

library(tidyverse)
library(tsibble)
library(lubridate)
library(feasts)
library(fable)

In my previous post about the new fable package, we saw how fable can produce forecast distributions, not just point forecasts. All my examples used Gaussian (normal) distributions, so in this post I want to show how non-Gaussian forecasting can be done. As an example, we will use eating-out ...

Automatic DAG learning – part 1

October 16, 2019 | R on Just be-cause

I was really struggling with finding a header pic for this post when I came across the one above - titled “Dag scoring and selection” and since it’s sort of the topic of this post I decided to use it! Intro On my second post I’ve stressed ...

Advancing Text Mining with R and quanteda

October 16, 2019 | R on Methods Bites

Everyone is talking about text analysis. Is it puzzling that this data source is so popular right now? Actually no. Most of our datasets rely on (hand-coded) textual information. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites ...

Advancing Text Mining with R and quanteda

October 16, 2019 | R on Methods Bites

Everyone is talking about text analysis. Is it puzzling that this data source is so popular right now? Actually no. Most of our datasets rely on (hand-coded) textual information. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites ...

Using bwimge R package to describe patterns in images of natural structures

October 15, 2019 | Carlos Biagolini-Jr.

This tutorial illustrates how to use the bwimge R package (Biagolini-Jr 2019) to describe patterns in images of natural structures. Digital images are basically two-dimensional objects composed by cells (pixels) that hold information of the intensity of three color channels (red, green and blue). For some file formats (such as png) ...

Private Security and the Pareto Principle

October 15, 2019 | R | datawookie

Private Security is a big industry in South Africa. Most Private Security companies promise to provide a rapid response to every callout generated by any of their customers. There is a delicate balance between the number of response vehicles and the nu...

Private Security and the Pareto Principle

October 15, 2019 | R on datawookie

Private Security is a big industry in South Africa. Most Private Security companies promise to provide a rapid response to every callout generated by any of their customers. There is a delicate balance between the number of response vehicles and the number of customers (and the frequency of their callouts!), ...

Add custom summary statistics in ggplot2

October 15, 2019 | Posts | SERDAR KORUR

It is hard to understand your data by looking at the numbers on a csv file. You need to plot it. And adding statistics to your plots will make it more informative. To evaluate data, we typically use mean and median to define its central tendency and range, quartiles, variance ...

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