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Infografika i aplikacijeInfografika pruža platformu koja pomaže pojedincima analizu uzoraka i trendova. Aplikacija koja vam može biti od velike pomoći je i:Infogr. amKreiranje infografike je jednostavno. Izaberite šablon. Unesite podatke. Prilagodite svojim zahtevima. Podelite sa svetom. infogr. am

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Birth Month by Gender Based on some feedback to a previous post I normalised the birth counts by the (average) number of days in each month. As pointed out by a reader, the results indicate a gradual increase in the number of conceptions during (northern hemisphere) Autumn and Winter, roughly up to the end of December. Normalising the data to give births per day also shifts the peak from August to September. LINK. How R is used at Microsoft At the useR! conference last month, I was pleased to be able to give a couple of talks about the ways that Microsoft is using and integrating R. In my first talk,Hear, See, Move, I shared how data scientists at Microsoft are working to help the disabled: LINK. GREA: The RStudio Add-In to read ALL the data into R! Have you also been overburdened by the vast selection of R packages to read different filetypes into R? Do you sometimes just want to get that . csv file up and running in your environment, but forgot about all those endless read. table() options? LINK

Data frame columns as arguments to dplyr functions Suppose that you would like to create a function which does a series of computations on a data frame. You would like to pass a column as this function’s argument.  LINK. New Release of partools Package My new release of partools is now on CRAN. The package is aimed at doing parallel data science in what I call an “un-MapReduce” manner. It takes the point of view that MapReduce-based frameworks such as Hadoop and Spark are fine for the types of applications their designers had in mind, namely rather simple SQL actions, but have fundamental handicaps that prevent them from performing well on many, if not most, of the types of computation that typical users need for large data sets and/or highly compute-bound applications. The distributed file/object nature of those MapReduce systems is retained, but the confining MapReduce computational paradigm is avoided.  LINK. Data Science Boot Camp completed at Ryerson University I am pleased to update you on theData Science Boot Camp we ran at the Ted Rogers School of Management at Ryerson University in Toronto in collaboration with IBM’swww. BigDataUniversity. com. The 9-week long Boot Camp concluded on July 15.  LINK.

New chapters for 50 shades of grey…. Introduction Some time ago I had the honor to follow an interesting talk from Tijmen Blankevoort on neural networks and deeplearning. Convolutional and recurrent neural networks were topics that already. . .  Read more » Reproducible art with R This is my tribute to the fantastic R package spatstat. All the artwork was 100% done in R, the source code is here. Click the images for hi-res (6000. . .  Read more » Data Science Competitions 101: Anatomy and Approach I recently participated in a weekend-long data science hackathon, titled ‘The Smart Recruits’. Organized by the amazing folks at Analytics Vidhya, it saw some serious competition. Although my performance. . .  Read more » Book Review: Getting Started With Data Science I PROGRAMMER's Kay Ewbank's reviews Getting Started with Data Science: Making Sense of Data with Analytics. By Kay EwbankIf you've enjoyed books such as. . .  Read more » Data Journalism with R at FiveThirtyEight Since it expanded its focus from predicting the US election, FiveThirtyEight has emerged as a prominent source of in-depth data journalism, with data-driven analysis of media, culture, politics and. . .  Read more » Bayesian Essentials with R [book review] “Overall this book is a very helpful and useful introduction. . .  Read more » MOST VISITED ARTICLES OF THE WEEK How to write the first for loop in R Installing R packages R tutorials Using apply, sapply, lapply in R How to perform a Logistic Regression in R In-depth introduction to machine learning in 15 hours of expert videos Eclipse – an alternative to RStudio – part 1 More data scientists prefer R: survey An analysis of Pokémon Go types, created with R

Round values while preserve their rounded sum in R After an embarrassing teleconference in which I presented a series of percentages that did not sum to 100 (as they should have), I found some R code on stackoverflow. com. . .  Read more » Correlation network_plot() with corrr Looking for patterns or clusters in your correlation matrix? Spot them quickly using network_plot() in the latest development version of the corrr package! # Install. . .  Read more » A link that can tell more than dozens of lines of R code – what’s new in archivist? Can you spot the difference between this plot: And this one: You are right! The latter has an embedded piece of R code. What for? It’s a call to. . . Read more » Building a Life Table After writing my previous post, Mortality by Year and Age, I’ve become progressively more interested in the mortality data. Perhaps those actuaries are onto something? I found this report,. . . Read more » An R Users Guide to JSM 2016 by Joseph Rickert My impression is that the JSM has become ever more R friendly over recent years, but with two sessions organized around R tools and several talks. . . Read more » 2016-10 A transformable markup document format Many technologies now exist for writing a document in a format that can be transformed into various output formats for sharing. This report proposes that using markup, rather than. . . Read more » A Gallery of ggplot2 Extensions A couple of months ago, I announced the ggplot2-extensions website which tracks and lists extensions built on top of the popular R visualization package ggplot2. Now, I wanted to. . .  Read more »

New Course: Introduction to Portfolio Analysis in R New Course Announcement: Introduction to Portfolio Analysis in R One golden rule in investing is to always test your portfolio strategy on historical data. Then, you should constantly monitor the. . .  Read more » digest 0. 6. 10 A new release, now at version number 0. 6. 10, of the digest package is now on CRAN. I also just prepared the Debian upload. This release, just like the previous. . .  Read more » Heuristica: An R package for testing models of binary choice It just got a lot easier to simulate the performance of simple heuristics. The post Heuristica: An R package for testing models of binary choice appeared first on. . .  Read more » nzcensus on GitHub Introduction A few months back the first, pre-CRAN versions of my nzelect package included some data from the New Zealand Census 2013. As noted in my last post, I’ve. . .  Read more » A Case Study in Reproducible Model Building The U. S. Geological Survey (USGS) recently published a report describing a groundwater-flow model of the Wood River Valley (WRV) aquifer system. What makes this report unique (at least in my. . .  Read more » Getting Your Colleagues Hooked on R You love R and you want your colleagues to love R too. In our latest post we will walk you through seven tips and tricks for hosting a successful. . . Read more »

15 Page Tutorial for R For Beginners in R, here is a 15 page example based tutorial that covers the basics of R. Starting R – Trivial tutorial on how to start R for. . .  Read more » Probably the most useful R function I’ve ever written The function in question is scriptSearch. I’m not much for superlatives — “most” and “best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. . . .  Read more » Google Analytics makes Demo Account available to all Playing with GA data is much much easier now. Last week biggest news was definitely Google making a Demo Google Analytics Account available to everyone. As the word "demo" says,. . .  Read more » Visualizing multiple dimensions of Google Analytics in R Stack bar chart  It is used when we wish to visualize a combination of categorical variables ggplot(data, aes(date, fill = region)) + geom_bar()+ labs(title = "Stacked Bar Chart", x. . .  Read more » Elastic net regularization of a model of burned calories Deal with feature selection and collinearity Recently I’ve been making more use of elastic net regularization as a way of fitting linear models to data when I have more candidate. . .  Read more » Combinations Exercises   When doing data analysis it happens often that we have a set of values and want to obtain various possible combinations of them. For example, taking 5 random samples. . .  Read more » Tuning Apache Spark for faster analysis with Microsoft R Server My colleagues Max Kaznady, Jason Zhang, Arijit Tarafdar and Miguel Fierro recently posted a really useful guide with lots of tips to speed up prototyping models with Microsoft R. . .  Read more » Labeling Opportunities in Price Series One approach to trading which has been puzzling me lately, is to sit and wait for opportunities.  Sounds simplistic, but it is indeed different than, for instance, the. . .  Read more » Chi-Squared Test Before we build stats/machine learning models, it is a good practice to understand which predictors are significant and have an impact on the response variable. In this post we. . .  Read more » Can you nest parallel operations in R? When we teach parallel programming in R we start with the basic use of parallel (please see here for example). This is, in our opinion, a necessary step before. . .  Read more » Probably the most useful R function I’ve ever written The function in question is scriptSearch. I’m not much for superlatives — “most” and “best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. . . .  Read more » 14 new R jobs from around the world (2016-08-16) Here are the new R Jobs for 2016-08-16. 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 either post. . .  Read more »

Analyzing Stack Overflow questions and tags with the StackLite dataset September 18, 2016 By Marco Pasin The guys at Stack Overflow have recently released a very interesting dataset containing the entire history of questions made by users since the beginning of the site, back in 2008.  It's called. . . <> Read more » Analyzing World Bank data with WDI, googleVis Motion Charts September 17, 2016 By Tinniam V Ganesh Recently I was surfing the web, when I came across a real cool post New R package to access World Bank data, by Markus Gesmann on using googleVis and. . .  Read more » A few thoughts on the existing code parallelization September 17, 2016 By Vessy A few weeks ago I worked on some old code parallelization. The whole process made me think about how efficient parallelization of the existing code in R can really. . .  Read more » New Zealand Election Study individual level data September 17, 2016 By Peter's stats stuff - R Individual level data is essential to understand voting behaviour My previous analysis has occasionally come up against the problem “only individual level data could resolve that,”. Since I last. . .  Read more » How to add pbapply to R packages September 16, 2016 By Peter Solymos As of today, there are 20 R packages that reverse depend/import/suggest (3/14/3) the pbapply package. Current and future package developers who decide to incorporate the progress bar using pbapply might want to. . .  Read more » anytime 0. 0. 2: Added functionality September 15, 2016 By Thinking inside the box anytime arrived on CRAN via release 0. 0. 1 a good two days ago. anytime aims to convert anything in integer, numeric, character, factor, ordered, . . . format to POSIXct (or. . . Read more » tidyverse 1. 0. 0 September 15, 2016 By hadleywickham The tidyverse is a set of packages that work in harmony because they share common data representations and API design. The tidyverse package is designed to make it easy to. . .  Read more » Network Analysis Part 1 Exercises September 15, 2016 By Miodrag Sljukic In this set of exercises we shall create an empty graph and practice the functions for basic manipulation with vertices and edges, using the package igraph. If you don’t. . . Read more » Why you need version control September 15, 2016 By Peter's stats stuff - R I recently had an email exchange with a seasoned, well respected analytical professional which included the following (from them, not me): “… my versioning is to have multiple versions. . . Read more » Data Science 101, now online September 14, 2016 By Murtaza Haider We are delighted to note that IBM's BigDataUniversity. com has launched the quintessential introductory course on data science aptly named Data Science 101. The target audience for the course is the. . . Read more » Monitoring R Applications with RZabbix September 14, 2016 By Marcin Kosiński As R users we mostly perform analysis, produce reports and create interactive shiny applications. Those are rather one-time performances. Sometimes, however, the R developer enters the world of. . . Read more » How I made some Pokémon Business Cards September 14, 2016 By Rasmus Bååth As I’m in the industry now I figured I needed some business cards and as it seems the 90s never left us and Japanese monsters are hip again, I. . . Read more » GoodReads: Exploratory data analysis and sentiment analysis (Part 2) September 14, 2016 By Florent Buisson After scraping reviews from Goodreads in the first installment of this series, we are now ready to do some exploratory data analysis to get a better sense of the. . . Read more » New Version of the OpenStreetMap R Pacakge September 13, 2016 By Ian A new version of the OpenStreetMap package has been released to CRAN. OpenStreetMap 0. 3. 3 contains several minor improvements. I've removed the CloudMade tile set types, as they seem to have. . . Read more »

Creating Sample Datasets – Exercises By Avi Blinder Creating sample data is a common task performed in many different scenarios. R has several base functions that make the sampling process quite easy and fast. Below is an explanation of the main functions used in the current set of exercices: 1. set. seed() – Although R executes a random mechanism of sample creation, set. seed() function Read more » In case you missed it: Septemer 2016 roundup October 7, 2016 By David Smith In case you missed them, here are some articles from September of particular interest to R users. The R-Ladies meetups and the Women in R Taskforce support gender diversity. . .  Read more » Extending accessibility of open-source statistical software to the masses A shiny case study October 6, 2016 By Educate-R - R Extending accessibility of open-source statistical software to the masses: A shiny case study Brandon LeBeau University of Iowa R R is. . .  Read more » text2vec 0. 4 October 6, 2016 By Data Science notes Introducing text2vec 0. 4 Today I’m pleased to announce new major release of text2vec - text2vec 0. 4 which is already on CRAN. For those readers who is not familiar with text2vec. . .  Read more » Making a team survey to get my colleagues hooked on R October 6, 2016 By Florian Privé In this post, I will talk about the presentation of R that I did today, in the first week of my PhD. Usually, it is a team-only presentation. Yet,. . . Read more » What you need to know about data augmentation for machine learning October 6, 2016 By Brian Lee Yung Rowe Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …Continue reading →Read more » Import data to R from SAS, SPSS and Stata with Haven October 6, 2016 By David Smith Regardless of the tool you use to analyse data, you'll often have to access data living in file formats generated by other tools. The "haven" package from RStudio allows. . . Read more » Raccoon: Statistical Models with R free web-book October 6, 2016 By Quantide srl Raccoon is a free web-book about Statistical Models with R. Raccoon is the collection of twenty years of notes, exercises and concepts working with statistics and R, and it. . . Read more » Text Mining in R and Python: 8 Tips To Get Started October 6, 2016 By DataCamp Blog You want to get started on text mining, but most of the tutorials you start, get pretty complex very quickly? Or you can’t find a proper data set to. . . Read more » R Notebooks October 5, 2016 By Jonathan Today we’re excited to announce R Notebooks, which add a powerful notebook authoring engine to R Markdown. Notebook interfaces for data analysis have compelling advantages including the close association. . . Read more »

Merry ChRistmas! December 23, 2016 By David Smith Christmas day is soon upon us, so here's a greeting made with R: Each frame is a Voronoi Tesselation: about 1,000 points are chosen across the plane, which each. . .  Read more » Data Preparation, Long Form and tl;dr Form December 26, 2016 By John Mount Data preparation and cleaning are some of the most important steps of predictive analytic and data science tasks. They are laborious, where most of the errors are made, your last line of defense against a wild data, and hold the biggest opportunities for outcome improvement. No matter how much time you spend on then, they … Continue. . .  Read more » The Basics of Bayesian Statistics December 26, 2016 By David Smith Bayesian Inference is a way of combining information from data with things we think we already know. For example, if we wanted to get an estimate of the mean. . .  Read more » Descriptive Analytics-Part 5: Data Visualisation (Spatial data) December 25, 2016 By Vasileios Tsakalos Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises. . . Read more » Googly: An interactive app for analyzing IPL players, matches and teams using R package yorkr December 25, 2016 By Tinniam V Ganesh Presenting ‘Googly’, a cool Shiny app that I developed over the last couple of days. This interactive Shiny app was on my mind for quite some time, and I. . .  Read more » Extracting data on shadow economy from PDF tables December 25, 2016 By Peter's stats stuff - R Data on the shadow economy? I’m reading Kenneth Rogoff’s The Curse of Cash. It was one of Bloomberg’s Best Books of 2016 and the Financial Times’ Best Economics Books. . .  Read more » Christmas Tree with ggplot December 25, 2016 By Jeroen Kromme # create data x <- c(8,7,6,7,6,5,6,5,4,5,4,3,4,3,2,3,2,1,0. 5,0. 1) dat1 <- data. frame(x1 = 1:length(x), x2 = x) dat2 <- data. frame(x1 = 1:length(x), x2 = -x) dat1$xvar <- dat2$xvar <- NA dat1$yvar <-. . .  Read more » Computing Sample Size for Variance Estimation December 24, 2016 By Andrés Gutiérrez The R package samplesize4surveys contains functions that allow to calculate sample sizes for estimating proportions, means, difference of proportions and even difference of two means. It also permits the. . .  Read more » Functional programming and unit testing for data munging with R available on Leanpub December 23, 2016 By Bruno Rodrigues The book I’ve been working on these pasts months (you can read about it here, and read it for free here) is now available on Leanpub! You can grab. . .  Read more »

Some R News January 13, 2017 By Joseph Rickert by Joseph Rickert Here are a few things of some interest in the R world: The Gordon and Betty Moore Foundation has joined the R Consortium! This is a. . . Read more » Microsoft R Server tips from the Tiger Team January 13, 2017 By David Smith The Microsoft R Server Tiger Team assists customers around the world to implement large-scale analyytic solutions. Along the way, they discover useful tips and best practices, and share them. . . Read more » New year resolution January 13, 2017 By Gianluca Baio Now that the Christmas break is just a distant memory (Marta would say that I am quite happy with that $-$ she. . . Read more » CRISP-DM and why you should know about it January 13, 2017 By Steph The Cross Industry Standard Process for Data Mining (CRISP-DM) was a concept developed 20 years ago now. I’ve read about it in various data mining and related books and. . . Read more » Animated barplot and google map with R January 13, 2017 By tomaztsql It might happen that you will need a animated graph of any kind. For purposes of plotting demographic data and changes through the years, Google Maps and plotting maps,. . . Read more » Books I like January 13, 2017 By Peter's stats stuff - R If you’re serious about learning, you probably need to read a book at some point. These days if you want to learn applied statistics and data science tools, you have. . . Read more » Let’s get started with dplyr January 12, 2017 By Hasan Imtiaz The dplyr package by Hadley Wickham is a very useful package that provides “A Grammar of Data Manipulation”. It aims to simplify common data manipulation tasks, and provides “verbs”,. . . Read more » Education Analytics with R and Cortana Intelligence Suite January 12, 2017 By Blog Administrator By Fang Zhou, Microsoft Data Scientist; Hong Ooi, Microsoft Senior Data Scientist; and Graham Williams, Microsoft Director of Data Science Education is a relatively late adopter of predictive analytics. . . Read more » Extensions for simmer January 12, 2017 By FishyOperations A new version of the Discrete-Event Simulator for R was released a few days ago on CRAN. The most interesting new feature is the implementation of the subsetting operators. . . Read more » MOST VISITED ARTICLES OF THE WEEK How to write the first for loop in R Installing R packages Tutorials for learning R Using apply, sapply, lapply in R The best R package for learning to “think about visualization” Scatterplots In-depth introduction to machine learning in 15 hours of expert videos Let’s get started with dplyr Announcing RStudio Connect – For all the work your teams do in R

Using 2D Contour Plots within {ggplot2} to Visualize Relationships between Three Variables Guest post by John Bellettiere, Vincent Berardi, Santiago Estrada The Goal To visually explore relations between two related variables and an outcome using contour plots.   RcppArmadillo 0. 7. 200. 2. 0 The second Armadillo release of the 7. * series came out a few weeks ago: version 7. 200. 2. And RcppArmadillo version 0. 7. 200. 2. 0 is now on CRAN and uploaded to Debian. . . . Start here to learn R! Ready, set, go! On R-exercises, you will find hundreds of exercises that will help you to learn R. We’ve bundled them into exercise sets, where each set covers a. . . Placement: An R package to Access the Google Maps API A few months ago I set out to write an R package for accessing the Maps API with my employer’s (paid) Google for Work/Premium account. At the time, I. . . The collaborative innovation landscape in data science Computing platforms should be like Lego. That is, they should provide the fundamental building blocks and enable the users' imagination to innovate. The latest issue of. . . Image recognition in R using convolutional neural networks with the MXNet package Among R deep learning packages, MXNet is my favourite one. Why you may ask? Well I can’t really say why this time. It feels relatively simple, maybe because at. . . Economy and dynamic modelling: Haavelmo’s approach Econometrics aims at estimating observables in the economy and their inter-dependencies and testing the estimates against the economic reality. A quantitative approach to express these inter-dependencies appear as. . . Showing code changes when teaching A key – but challenging – part of learning to program is moving from writing technically-correct code “that works” to writing high-quality code that is sensibly decomposed into functions,. . . Microsoft R Open 3. 3. 0 now available Microsoft R Open 3. 3. 0, the enhanced distribution of open source R, is now available for download for Windows, Mac and Linux systems. This release includes a significant updates to. . .

SQL Server, Power BI, and R SQL Server 2016 has reached general availability recently and one of the top new capabilities it features is SQL Server R Services —  advanced analytics in-database with the R language.    R has also been integrated into Power BI, allowing you to create fully integrated visualizations with the power of the R language.   In this blog post I will show an example using R in SQL Server to create a model and  batch score testing data, then use Power BI Desktop to create visualizations of the scored data. An Introoduction to Portfolio Component Conditional Value At Risk This post will introduce component conditional value at risk mechanics found in PerformanceAnalytics from a paper written by Brian Peterson, Kris Boudt, and Peter Carl. This is a mechanism that is an easy-to-call mechanism for computing component expected shortfall in asset returns as they apply to a portfolio. While the exact mechanics are fairly complex, the upside is that the running time is nearly instantaneous, and this method is a solid tool for including in asset allocation analysis. New R Editor Features in Bio7 Bio7 2. 4 has been released for Windows, MacOSX and Linux and this release comes with a plethora of new R editor features. The editor now supports the dynamic code analysis of R scripts, refactoring methods, improved code completions, more key shortcuts for a faster editing and improved quick fixes which now can be opened and applied directly where the warnings or errors occur. Analyzing Mexican votes in the U. N. Last week I discovered the unvotes package on github so I thought i’d do some number-crunching to see if I find anything interesting. The package provides the voting history of countries in the United Nations General Assembly, along with information such as date, description, and topics for each vote. RProtoBuf 0. 4. 4, and new JSS paper A new release 0. 4. 4 of RProtoBuf is now on CRAN, and corresponds to the source archive for the Journal of Statistical Software paper about RProtoBuf as JSS vol71 issue 02. The paper is also included as a pre-print in the updated package. Time series charts by the Economist in R using Plotly In this post we’ll recreate two info graphics created by The Economist. The code uses the new Plotly 4. 0 syntax. Note: Plotly 4. 0 has not been officially released yet. You can download the dev version using MOST VISITED ARTICLES OF THE WEEK The Mathematics of Machine Learning How to write the first for loop in R Installing R packages R tutorials In-depth introduction to machine learning in 15 hours of expert videos Using apply, sapply, lapply in R Latest on the Julia Language (vs. R) How to perform a Logistic Regression in R Scatterplots  

How to prepare and apply machine learning to your dataset August 25, 2017 By Euthymios Kasvikis INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this. . . Read more » Tips and tricks on using R to query data in Power BI August 25, 2017 By David Smith In Power BI, the dashboarding and reporting tool, you can use R to filter, transform, or restructure data via the Query Editor. For example, you could use the mice. . .  Read more » Unbottling “. msg” Files in R August 25, 2017 By hrbrmstr There was a discussion on Twitter about the need to read in “. msg” files using R. The “MSG” file format is one of the many binary abominations created by. . . Read more » wrapr: R Code Sweeteners August 25, 2017 By John Mount wrapr is an R package that supplies powerful tools for writing and debugging R code. Primary wrapr services include: let() %. __% (dot arrow pipe) := (named map builder) λ() (anonymous function builder) DebugFnW() let() let() allows execution of arbitrary code with substituted variable names (note this is subtly different than binding values for names as … Continue reading wrapr:. . .  Read more » Analyzing Google Trends Data in R August 23, 2017 By 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. . .  Read more » Gradient boosting in R August 24, 2017 By Anish Singh Walia Boosting is another famous ensemble learning technique in which we are not concerned with reducing the variance of learners like in Bagging where our aim is to reduce the. . .  Read more » Linear Congruential Generator in R August 24, 2017 By Aaron Schlegel Part of 1 in the series Random Number GenerationA Linear congruential generator (LCG) is a class of pseudorandom number generator (PRNG) algorithms used for generating sequences of random-like numbers. . . .  Read more » Calculating a fuzzy kmeans membership matrix with R and Rcpp August 24, 2017 By Guest Blogger by Błażej Moska, computer science student and data science intern Suppose that we have performed clustering K-means clustering in R and are satisfied with our results, but later we. . .  Read more » Reticulating Readability August 24, 2017 By hrbrmstr I needed to clean some web HTML content for a project and I usually use hgr::clean_text() for it and that generally works pretty well. The clean_text() function uses an. . .  Read more » Big Data analytics with RevoScaleR Exercises August 24, 2017 By Biswarup Ghosh In this set of exercise , you will explore how to handle bigdata with RevoscaleR package from Microsoft R (previously Revolution Analytics). It comes with Microsoft R client . You. . .  Read more » New R Course: Sentiment Analysis in R – The Tidy Way August 24, 2017 By DataCamp Blog Hello, R users! This week we're continuing to bridge the gap between computers and human language with the launch Sentiment Analysis in R: The Tidy Way by Julia Silge! Text. . . Read more » Practical Guide to Principal Component Methods in R August 24, 2017 By Easy Guides Introduction Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or. . .  Read more » MOST VISITED ARTICLES OF THE WEEK How to write the first for loop in R Installing R packages Using apply, sapply, lapply in R simplyR Tutorials for learning R How to perform a Logistic Regression in R How to Make a Histogram with Basic R In-depth introduction to machine learning in 15 hours of expert videos Is dplyr Easily Comprehensible?