الدوري الممتاز الهندي 2020

Lately I tried to visualize an hierarchy with Tableau Desktop. The problem was that the hierarchy had a variable depth because it was tree-based. Each row had an id and a parent_id. Normally hierarchies in Tableau are defined by pulling some fields together, such as product category, product group ... Continue reading: Working with tree-based hierarchies using data.tree http://dlvr.it/S4pYkY

parallel grid search cross-validation using `crossvalidation`. Continue reading: parallel grid search cross-validation using `crossvalidation` http://dlvr.it/S4pYk8

Intro Oh man, I did it again. Grab a coffee, this is going to be a long one. Weights got me confused. The justification for using weights seems simple enough; if you’re working with a sample in which one (or more) strata are over(under)-represented, you should compute ... Continue reading: Is it worth the weight? http://dlvr.it/S4pYjN

One principle of programming that’s often encountered is “DRY”, “Don’t Repeat Yourself”, that encourages e.g. the use of functions over duplicated (read: copy-pasted and slightly amended) code. You could also interpret it as don’t let the machine repeat its calculations if useless. How about for a ... Continue reading: Caching the results of functions of your R package http://dlvr.it/S4lzZg

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from just getting started to tuning more complex models. This week’s episode of SLICED, a competitive data science streaming show, had contestants compe... Continue reading: Use racing methods to tune xgboost models and predict home runs http://dlvr.it/S4lzZ9

R Consortium talks to Laura Swales of the London R User Group on how they are dealing with COVID and changing some of the basics of their meeting. As they... The post London RUG on Creating an Open and Inviting Group appeared first on R Consortium. Continue reading: London RUG on Creating an Open and Inviting Group http://dlvr.it/S4lzYP

“In a regular full discrete exponential family, the MLE for the canonical parameter does not exist when the observed value of the canonical statistic lies on the boundary of its convex support.” Daniel Eck and Charlie Geyer just published an interesting and intriguing paper on running efficient inference for discrete ... Continue reading: likelihood inference with no MLE http://dlvr.it/S4hTWH

Dedicated to all those who write stupid comments about people with disabilities, LGBT+, non-whites and women, and specially to those who promote false inclusion. As always, this article is a personal opinion and does not involve the people who work with me unless they explicitly agree to this words. Context ... Continue reading: How to stop worrying and start using R packages efficiently for Econometrics http://dlvr.it/S4hTW6

Dedicado a todos los que escriben comentarios estúpidos sobre las personas con discapacidades, LGBT+, no blancos y mujeres, y especialmente a los que promueven la falsa inclusión. Como siempre, este artículo es una opinión personal y no involucra a las personas que trabajan conmigo a menos ... Continue reading: ¿Cómo dejar de preocuparse y empezar a utilizar eficazmente los paquetes de R para la econometría? http://dlvr.it/S4hTVf

Heteroscedasticity in Regression, one of the easiest ways to measure heteroscedasticity is while using the Breusch-Pagan Test. The test is mainly used to identify... The post How to Measure Heteroscedasticity in Regression? appeared first on finnstats. Continue reading: How to Measure Heteroscedasticity in Regression? http://dlvr.it/S4ctfG

If you have build your homepage using blogdown, it’s actually quite simple to integrate Javascript snippets in it. While this is mentioned in the book “blogdown: Creating Websites with R Markdown”, it still took me a little bit to undertstand how i... Continue reading: Let users choose which plot you want to show http://dlvr.it/S4ctf4

See the Spanish version of this blog post: La Historia de censo2017, el Primer Paquete de rOpenSci Revisado en Español 🔗 Summary censo2017 is an R package designed to organize the Redatam1 files provided by the Chilean National Bureau of ... Continue reading: The Story Behind censo2017, the First rOpenSci Package to be Reviewed in Spanish http://dlvr.it/S4ctdg

Walkthrough on “politely” scraping Wikipedia tables and transforming them into analysis-ready datasets. Continue reading: Politely Scraping Wikipedia Tables http://dlvr.it/S4YDG8

By Mehar Pratap Singh, CEO and Founder – ProCogia R consortium fulfills a unique need in the growing data science space.  Also, R language resources are critical tools in the data-driven... The post R Consortium and You – How to get involved appeared first on R Consortium. Continue reading: R Consortium and You – How to get involved http://dlvr.it/S4YDFg

One hundred ninety-seven new packages made it to CRAN in June. Here are my selections for the “Top 40” in ten categories: Computational Methods, Data, Finance, Genomics, Machine Learning, Medicine, Statistics, Time Series, Utilities, and Visualization. The Medicine category includes multiple packages for medical reporting and table building. Note that eight ... Continue reading: June 2021: “Top 40” New CRAN Packages http://dlvr.it/S4YDC0

While working with the Google Mobility Data I stumbled upon the TomTom Traffic Index. I then learned that TomTom has a public API which exposes a bunch of useful and interesting data. Seemed like another opportunity to create a smaller R package. ... Continue reading: TomTom Routing http://dlvr.it/S4Tg7G

Introduction The 29th season of the J.League is slightly different compared to a normal season as for the first time there are 20 teams fighting for the league title and 4 teams facing relegation into J2 as no teams were relegate... Continue reading: J.League Soccer 2021 Mid-Season Review! http://dlvr.it/S4Tg6s

In the previous post I introduced the {tomtom} package and showed how it can be used for geographic routing. Now we’re going to look at the traffic statistics returned by the TomTom API. As before we’ll need to load the {tomtom} package and specif... Continue reading: TomTom Traffic http://dlvr.it/S4Tg4n

Marta Cifuentes and Wayne Crismani asked on Twitter if there is a web tool similar to the Arabidopsis Chromosome Map Tool that makes figures of genes on chromosomes for humans. This will not really be an answer to the question — not a web tool, not conveniently packaged — but I thought ... Continue reading: A plot of genes on chromosomes http://dlvr.it/S4Q9qn

In this post I’ll be taking a break from my normal explorations in the medical device domain to talk about Sliced. Sliced is a 2-hour data science competition streamed on Twitch and hosted by Meg Risdal and Nick Wan. Four competitors tackle a prediction problem in real time using ... Continue reading: Could AutoML win in the ‘Sliced’ Data Science Competition? The answer may shock you! http://dlvr.it/S4Q9qM

Introduction Following my previous post on how to use your R-universe API to automatically generate a list of the packages on your R-universe, I started working on a simple R client to interact with such APIs. For those who missed it, R-universe is ... Continue reading: R Client for R-universe APIs http://dlvr.it/S4Q9pp

Did the recent unrest in South Africa have a detectable effect on mobility patterns? Google Mobility Data Google has used anonymised data personal location data to gather information on mobility during the COVID-19 pandemic. These data are free... Continue reading: Mobility & Unrest in South Africa http://dlvr.it/S4MkQf

Package `crossvalidation` on R-universe is now available from R-universe. Continue reading: `crossvalidation` on R-universe, plus a classification example http://dlvr.it/S4MkQN

sha256 1 eb5d71529ab540bc4865c181a1129e03186e0959c76196a9fbc0c2a16c767856 Shikokuchuo About as.data.frame data.frame() or as.data.frame() are such ubiquitous functions that we rarely thi... Continue reading: Efficient R: Performant data.frame constructors http://dlvr.it/S4MkQL

Root Mean Square Error In R, The root mean square error (RMSE) allows us to measure how far predicted values are from observed values... The post How to Calculate Root Mean Square Error (RMSE) in R appeared first on finnstats. Continue reading: How to Calculate Root Mean Square Error (RMSE) in R http://dlvr.it/S4K62q

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! 🔗 rOpenSci HQ Great news for fans of statistics and software! rOpenSc... Continue reading: rOpenSci News Digest, July 2021 http://dlvr.it/S4K62g

I’ve long admired the look of publications generated using the R bookdown package, and thought it would be fun and educational to publish one myself. The problem is that I am not writing a book and have no plans to do so any time soon. Then I remembered that ... Continue reading: How I resurrected my ancient PhD thesis using R/bookdown (and some other tools) http://dlvr.it/S4K62C

Recently we wrapped up another round of the Shiny Contest, and, as always, the entries were terrific. A previous post announced and discussed the winners, but we wanted to take a moment to highlight some of the examples of fantastic code w... Continue reading: Top 3 Coding Best Practices from the Shiny Contest http://dlvr.it/S4Fh2s

Splits are generally reported in one of two formats, cumulative or lap. When working with data I find lap format to be more useful, but what’s most useful is to have all splits in the same format. This post discusses how to do just that with data from swimming ... Continue reading: Handling Splits with SwimmeR http://dlvr.it/S4Fh2V

This summer I’ve been competing in the SLICED machine learning competition, where contestants have two hours to open a new dataset, build a predictive model, and be scored as a Kaggle submission. Contestants are graded primarily on model performance, but also get points for visualization and storytelling, and from ... Continue reading: Machine learning in a hurry: what I’ve learned from the SLICED ML competition http://dlvr.it/S4Fh1V

21 July 2021 In this post I’m highlighting 10 new books added to Big Book of R. Thank you to the authors for writing them and thanks to R Posts you might have missed who I got a bunch of these from. Hiring Data Scientists and Machine Learning Engineers Roy … The post 10 ... Continue reading: 10 new books added to Big Book of R http://dlvr.it/S4B91Y

It was a rainy weekend in southern Maine and I really didn’t feel like doing chores, so I was skimming through RSS feeds and noticed a link to a PacketMaze challenge in the latest This Week In 4n6. Since it’s also been a while since I’ve done ... Continue reading: Packet Maze: Solving a CyberDefenders PCAP Puzzle with R, Zeek, and tshark http://dlvr.it/S4B90D

Hi R-bloggers 👋 Starting from today, all posts from this blog in the R category will also appear on R-bloggers. I would like to thank Tal for aggregating my blog, and say “hi!” to all R-bloggers readers. I’m a particle physicist with a passion for R... Continue reading: Automatic resumes of your R-developer portfolio from your R-Universe http://dlvr.it/S4B8yz

R package data.table has become a tool of choice when working with big tabular data thanks to its versatility and performance. Its Python counterpart py datatable follows R cousin in performance and steadily catches up in functionality. A notable omiss... Continue reading: Time Travel with py datatable 1.0 http://dlvr.it/S46dZn

Photo by Ameer Basheer “How do I get started?” While not asked explicitly, this question summarizes the highest ranked inquiries we received from attendees of the “R in Sport Analytics” discussion we hosted in mid-June. My contributio... Continue reading: Advice to Aspiring Sports Analytics Professionals http://dlvr.it/S46dZH

👇 Download link is at the bottom of the post 👇 Something that I quickly came to learn as an ecologist using R is that out of the hundreds (possibly thousands?) of functions available in R, only a handful were those that I used frequently throughout my ... Continue reading: The essential functions of R cheatsheet http://dlvr.it/S46dY5

The next edition of LondonR online will take place on Tuesday the 27th of July from 4pm (BST). Tickets are... The post LondonR: July edition appeared first on Mango Solutions. Continue reading: LondonR: July edition http://dlvr.it/S439K8

Many organisations have a robust infrastructure that allows their data science teams to provide, fast and reliable insights. But for many groups, they are just starting down this path. We, Jumping... Continue reading: Webinars: Practical Advice for R in Production http://dlvr.it/S439JY

Spending too much time on making iterative forecasts? I’m super excited to introduce the new panel data forecasting functionality in modeltime. It’s perfect for forecasting many time series at once without for-loops saving you time ⏱️ and aggravation 😞. Just say NO to for-loops for forecasting. Fitting many time series ... Continue reading: Forecasting Many Time Series (Using NO For-Loops) http://dlvr.it/S439Gx

This post explains how to generate the zero curve from market swap rates using bootstrapping. For the same 5-Year Libor IRS which is dealt with the previous post, we use Excel illustrations for clear understanding and then make a R code. Boot... Continue reading: Bootstrapping the Zero Curve from IRS Swap Rates using R code http://dlvr.it/S3zk01

COUNTIF Function in R, As we know if we want to count the length of the vector we can make use of the length... The post COUNTIF Function in R appeared first on finnstats. Continue reading: COUNTIF Function in R http://dlvr.it/S3zjzQ

Introduction This tutorial explains how to use arrow with analogsea to take fully advantage from S3 filesystems and parallel computing. Analogsea is a community project created by and for statisticians from the R community: Scott Chamberlain, Hadl... Continue reading: analogsea: Using Arrow, S3 and DigitalOcean for efficient model fitting in RStudio http://dlvr.it/S3zjxx

One of the reasons that R has so much functionality is that people have incorporated a lot of academic code written in C, C++, Fortran and Java into various packages.  Libraries written in these languages are often both robust and fast.  If you are using R to support people in ... [click to continue reading] http://dlvr.it/S3xGQg

With enough effort it is possible to fit a square peg into a round hole.  But we have all learned — sometimes more than once — that it is much easier if peg and hole have the same shape. Data managers also need to carefully consider the shape of their data to ... [click to continue reading] http://dlvr.it/S3xGQD

The COVID-19 pandemic is changing the way we work and play1. As more people work remotely from home, visits to local parks have surged as people look for ways to stay active, find solace and quench their thirst for adventure2. Such opportunities fo... [click to continue reading] http://dlvr.it/S3xGNd

The Elon Musk Tweet Effect on Dogecoin (DOGE) Unveil the Dogefather Elon Musk is known for his regular tweets about many different topics—in particular his companies Tesla and SpaceX. With close to 60 million followers he truly is a Twitter celebrity and his opinions have a big impact on technologies ... The post The Elon Musk Tweet Effect on Dogecoin (DOGE) first appeared on R-bloggers. http://dlvr.it/S3tZBd

How about some colours in line graph? Or even more wacky? Nevertheless, let’s create a function that generates some sample “mocked” data and draws a line chart: And run all together with three parameters: n – number of data points…Read more › The post Little useless-useful R functions – Colourful ggplot line graphs first appeared on R-bloggers. http://dlvr.it/S3tZB0

A quick riddle from the Riddler, where the multinomial M(n¹,n²,100-n¹-n²) probability of getting three different labels out of three possible ones out of three draws is 20%, inducing a single possible value for (n¹,n²) up to a permutation. Since this probability is n¹n²(100-n¹-n²)/161,700, ... The post multinomial but unique first appeared on R-bloggers. http://dlvr.it/S3tZ75

Why User Tests useR! 2021 Presentation: How to Conduct Effective User Tests Good Practices Q&A From Maria’s Presentation at UseR! 2021 useR! 2021 Follow Up Why User Tests User tests are paramount for creating a smoother development process and ultimately, a user-friendly tool. It’s easy to lose track of the ... The post User Tests – Build Better Shiny Apps with Effective User Testing first appeared on R-bloggers. http://dlvr.it/S3pyYb

The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. This was the motivation, plus having them all in one location to enable you to easily find them, otherwise you would be ... The post FeatureTerminatoR – a package to remove unimportant variables from statistical and machine learning models automatically first appeared on R-bloggers. http://dlvr.it/S3pyYF

RStudio Connect provides enterprise-level publishing capabilities for data science applications, including Shiny. The post Hosting Shiny Apps with RStudio Connect first appeared on R-bloggers. http://dlvr.it/S3pyW5

Why Data Validation Data validation is a crucial step in any data science project. It ensures clean and well-formatted data that is ready for input pipelines to ML models and dashboards. Cleaned data also minimizes errors further down the line. Often, functions and model training pipelines throw errors when presented ... The post Data Validation With data.validator: An Open-Source Package from Appsilon first appeared on R-bloggers. http://dlvr.it/S3lDr7

The Heroku platform is ideal for Shiny apps if you don't want to worry about infrastructure. Combine that with a CICD pipeline to get a really powerful setup. The post Deploying Shiny Apps to Heroku with Docker and GitHub Actions first appeared on R-bloggers. http://dlvr.it/S3lDqR

Easystats performance is an R package that makes it easy to investigate the relevant assumptions for regression models. Simply use the check_model() function to produce a visualization that combines 6 tests for model performance. We’ll quickly: Lea... The post easystats: Quickly investigate model performance first appeared on R-bloggers. http://dlvr.it/S3lDmV

… going to be revealed just below. This post from June 2nd shows the original announcement. Each contestant was asked to submit a prediction that should be a 6 x 24 matrix where the columns represent the countries, and the r... The post The UEFA EURO 2020 prediction winner is … first appeared on R-bloggers. http://dlvr.it/S3XtCk

Sometimes you generate lots of ggplots of a similar kind, e.g. visualizations of different timeseries. Then you want to highlight some dates where something special had happened and you want to show that the value you are plotting changed at these date... The post Adding lines or other geoms to a ggplot by calling a custom function first appeared on R-bloggers. http://dlvr.it/S3XGMj

Covariance Matrix in R, Covariance is a measure of the degree to which two variables are linearly associated. We can measure how changes in... The post How to Create a Covariance Matrix in R appeared first on finnstats. The post How to Create a Covariance Matrix in R first appeared on R-bloggers. http://dlvr.it/S3WbWm

Heroku is a cloud platform-as-a-service (PaaS) to deploy apps without worrying about infrastructure. Yes, this includes Shiny apps! The post Deploying Shiny Apps to Heroku with Docker From the Command Line first appeared on R-bloggers. http://dlvr.it/S3Tt0s

This post explains how to price an interest rate swap (IRS) using R code and Excel's illustrations. We use swap rates, zero curve data from Bloomberg. We consider 5-Year Libor 3M IRS without OIS discounting as an pre-crisis IRS example. Libor ... The post Interest Rate Swap Pricing using R code first appeared on R-bloggers. http://dlvr.it/S3TLF5

Intro This post provides some quick details on using reticulate to interface Python from RStudio; and, more specifically, using the spacy library and BERT for fine-grained lexical semantic investigation. Here we present a (very cursory) usage-based/BERT-based perspective on the semantic distinction between further and farther, using example contexts extracted ... The post BERT, reticulate & lexical semantics first appeared on R-bloggers. http://dlvr.it/S3R6Z6

Another useless function that could be found in many programming languages. For example typical Python sample, that everyone have encountered would be: Resulting in a string with: My Name is Tomaz and I write this post. So, let’s do something…Read more › The post Little useless-useful R functions – Inserting variable values into strings first appeared on R-bloggers. http://dlvr.it/S3PRrK

I have written about the basics of Functional Data Analysis in three prior posts. In Post 1, I used the fda package to introduce the fundamental concept of using basis vectors to represent longitudinal or time series data as a curv... The post Exploratory Functional PCA with Sparse Data first appeared on R-bloggers. http://dlvr.it/S3M34L

A dashboard to support the rapid pond mapping initiative by Center for aquatic livelihood Jaljeevika. Please check https://github.com/asitav-sen/PondBase for details. The post PondBase – Visualize fisheries resource in India first appeared on R-bloggers. http://dlvr.it/S3L8qv

In a previous post, I used simulations to estimate how long it would take to collect the unique Unowns in Pokemon Go! The message of the post was that we can use simulations to solve problems when the analytic solution is not clear or obvious. The curr... The post Snecko eye lets you play more cards first appeared on R-bloggers. http://dlvr.it/S3HRzP

“How do I get better at data?” is a question I get a lot. It’s an interesting one to answer — plenty of great resources are out there, it’s just a matter of finding the right sequence for the right objective and circumstances. I assume “get better at data” ... The post Free checklist: 30 Days to Data Analyst first appeared on R-bloggers. http://dlvr.it/S3GClX

Another simple riddle from the Riddler: take a binary sequence and associate to this sequence a score vector made of the numbers of consecutive ones from each position. If the sequence is ten step long and there are 3 ones located at random, what is the expected total score? (The original ... The post almost reversed 2-lag Markov chain first appeared on R-bloggers. http://dlvr.it/S3CqwS

In this walkthrough I modified a tutorial from the UbiOps cookbook ‘Python Scikit learn and UbiOps’, but I replaced everything python with R. So in stead of scikitlearn I’m using {tidymodels}, and where python uses a requirement.txt, I will use {renv}. So in a way I’m going ... The post Walkthrough UbiOps and Tidymodels first appeared on R-bloggers. http://dlvr.it/S3Blnb

By Joachim Gassen (Humboldt University Berlin, TRR 266 “Accounting for Transparency”) and David Veenman (University of Amsterdam) “To reduce the impact of outliers on our findings, we winsorize the dependent and independent variables at the top and... The post Taking Outlier Treatment to the Next Level first appeared on R-bloggers. http://dlvr.it/S3BFzH

A riddle from the Riddler with a variation on the theme of breaking sticks: Given a stick of length L, what is the optimal manner to break said stick to achieve a maximal product of the individual lengths? While the pen & paper resolution is a one-line back-of-the-envelope calculation, with an ... The post breaking sticks of various length first appeared on R-bloggers. http://dlvr.it/S37y1y

Shinyapps.io is the easiest and quickest way for sharing Shiny apps with the world. The post Path of Least Resistance: Hosting Shiny Apps on Shinyapps.io first appeared on R-bloggers. http://dlvr.it/S36wL7

Full Workspace Automation through a Programmatic Interface (API) Available Now Each workspace already is an API QBit Workspace is a new service to immediately deploy data science results at scale. You can think of it as an online data science editor (like RStudio) which can also be controlled and automated ... The post Full Workspace Automation through a Programmatic Interface (API) Available Now first appeared on R-bloggers. http://dlvr.it/S36TYV

(If you haven’t read part I, you can find it here.) Alright, this is a long overdue post: back in October, I promised a part II to show how to pull data from the web via an API. Well, better late than never! Web APIs There is so much ... The post Working with web data in R part II – APIs first appeared on R-bloggers. http://dlvr.it/S33QJD

library(simplevis) library(dplyr) library(palmerpenguins) Introduction simplevis provides gglot2 (and leaflet) wrapper functions to make it easier to make beautiful visualisation with less brainpower required. In the first simplevis blog po... The post simplevis: interactive plots with plotly::ggplotly first appeared on R-bloggers. http://dlvr.it/S32gSV

This post explains how to construct ETF tracking error (TE) minimization and introduce R packages which perform (sparse) index tracking. ETF (Exchange Traded Fund) is a traded fund listed on the exchange. ETF tries to mimic or follow a target benchm... The post ETF Tracking Error Minimization using R code first appeared on R-bloggers. http://dlvr.it/S31LG1

The Hosting Data Apps website was launched 3 months ago. We review how the content was received by our readers and where the site is going next. The post Hosting Data Apps: 3 Months and 20 Posts Later first appeared on R-bloggers. http://dlvr.it/S3019z

More notes on using LRT to test time-series data. Thanks for the discussion with Jie. swapping the levels of time factor won't change the LRT results, as if the time variable is a factor, LRT won't see it as a trajectory analysis but rather a fact... The post Note (2) for DESeq2 time series data analysis first appeared on R-bloggers. http://dlvr.it/S2zct9

Are you putting together your useR!2021 conference schedule this weekend? Four rOpenSci staff and lots of community members are giving presentations and there’s something for everyone! 🔗 Talks by rOpenSci staff Jeroen Ooms, Lead Infra... The post rOpenSci at useR!2021 – Presentations from Staff and Community first appeared on R-bloggers. http://dlvr.it/S2xxbs

partial correlation coefficient r, When we want to find the linear relationship between two variables, we often choose the Pearson correlation coefficient. But some... The post How to Calculate Partial Correlation coefficient in R-Quick Guide appeared first on finnstats. The post How to Calculate Partial Correlation coefficient in R-Quick Guide first appeared on R-bloggers. http://dlvr.it/S2vnT9

In programming languages, we find logical operators for and and or. In fact, Python uses the actual words and and or for these operators. # Python via the reticulate package x = True y = False x and y #__ False x or y #__ True In Javascript, we ... The post Think of `&&` as a stricter `&` first appeared on R-bloggers. http://dlvr.it/S2tXlF

The Turkish president thinks that high interest rates cause inflation, contrary to the traditional economic approach. For this reason, he dismissed two central bank chiefs within a year. And yes, unfortunately, the central bank officials have limited independence doing their job in Turkey contrary to the rest of the world. ... The post Feature Importance in Random Forest first appeared on R-bloggers. http://dlvr.it/S2sf7X

SARS-Cov-2 (COVID-19) has been the defining driver of the market since its emergence. Understanding the progression of the disease through the world has been the secret sauce of alpha generation. Correctly parsing the early infectivity and morality data allowed some to avoid the COVID crash and a solid reading into ... The post What to Expect When You Are Expecting the Delta Covid-19 Variant first appeared on R-bloggers. http://dlvr.it/S2qthf