الدوري الممتاز الهندي 2020

Fast and scalable multivariate time series forecasting with ahead::ridge2f. Continue reading: Fast and scalable forecasting with ahead::ridge2f http://dlvr.it/SBfWKD

What Does Cross-Validation Mean? Cross-validation is a statistical approach for determining how well the results of a statistical investigation generalize to a different data set. Cross-validation is commonly employed in situations where the goal... The post Cross Validation in R with Example appeared first on finnstats. Continue reading: Cross Validation in R with Example http://dlvr.it/SBdzFK

A story about nodes and verticesExamples of Weird Whale NFTs. These NFTs (token ids 525, 564, 618, 645, 816, 1109, 1523 and 2968) belong to the creator of the collection Benyamin Ahmed (Benoni) who gave us the permission to show them in this article.By... Continue reading: Data Science on Blockchain with R. Part II: Tracking the NFTs http://dlvr.it/SBdcjC

Regression in R, In a recent article, we discussed model fitting and selection. However, we haven’t considered how we’ll choose which variables to include in our model. Simple Linear Regression in r » Guide... The post Regression in R-Ultimate Guide appeared first on finnstats. Continue reading: Regression in R-Ultimate Guide http://dlvr.it/SBcwZ0

This post explains more details regarding cross validation of Lasso in the case of a binomial response. We implement a R code for a lasso model's cross validation. In addition, We calculate lambda.min and lambda.1se manually. Finally we compare thes... Continue reading: lambda.min, lambda.1se and Cross Validation in Lasso : Binomial Response http://dlvr.it/SBbz4z

I’m continuing to update the covdata package in anticipation of a Data Visualization for Social Science course I’ll teach next semester. I revisited the Partisan Trajectories graph, as it seems there’s more that could be done with it.... Continue reading: The Polarization of Death http://dlvr.it/SBbhFw

Data Science in the Cloud As more organizations migrate their data science work to the cloud, they naturally want to bring along their favorite data science tools, including RStudio, R, and Python. These organizations are embracing the cloud to achieve various goals, including to: Simplify and reduce startup costs Promote ... Continue reading: Announcing RStudio on Amazon SageMaker http://dlvr.it/SBYltv

The awesome-markers plugin that ships with the leaflet package provides a great way to add iconography to points on a map. Three different icon libraries are supported, you have the ability to change to a few different options for the marker colors: , and can specify the icon color (it’s ... Continue reading: Awesome Marker Legends in Leaflet http://dlvr.it/SBYlrl

Is it possible to derive useful and interpretable information from short doctors’ notes written during visits of patients? In our recently published paper, we propose a methodology based on Natural Language Processing tools to automatically process the... Continue reading: Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings http://dlvr.it/SBX0hp

For anyone who missed my nonlinear trending R-Blogger post of the wheat market (symbol = WEAT), reference it here. Be certain to place the following single line of code at the top of that original post which was mistakenly omitted (Only the interactive charting is affected.).  The ‘Rcharts’ library makes use ... Continue reading: Walmart’s 7-Year Nonlinear Market Trend using ‘Stealth Curves’ http://dlvr.it/SBWTHp

This post shows how to use the R packages for estimating an exclusive lasso and a group lasso. These lasso variants have a given grouping order in common but differ in how this grouping constraint is functioning when a variable selection is performe... Continue reading: Exclusive Lasso and Group Lasso using R code http://dlvr.it/SBW0nL

Two hundred twenty new packages stuck to CRAN in September. Here are my “Top 40” picks in fourteen categories: Art, Computational Methods, Data, Econometrics, Finance and Insurance, Genomics, Machine Learning, Medicine, Networks and Graphs, Science, Statistics, Time Series, Utilities, and Visualization. Art rfishdraw v0.1.0: Automatically generates fish drawings using the fishdraw ... Continue reading: September 2021: “Top 40” New CRAN Packages http://dlvr.it/SBVLXZ

RBloggers|RBloggers-feedburner Intro: As it has been an while since RAthena and noctua updates have been announce, I thought I would try and get them all out of the way now. This blog will cover, key new features that has been made from version 1.9... Continue reading: R and Athena update http://dlvr.it/SBVLXY

This post shows a R counterpart of Excel VBA's MSXML2.ServerXMLHTTP related commands with which server APIs are called easily. In case of R, it is done by using httr R package. As an illustration, SQL query for retrieving swap date schedule is execu... Continue reading: R : httr in R and MSXML2.ServerXMLHTTP in Excel VBA http://dlvr.it/SBQw1l

Example of Marketing mix modeling with Facebook’s Robyn package Here I will go through an example of how to run marketing mix modeling with the Robyn package published by Facebook. The project page by Facebook is here: https://facebookexperimental.github.io/Robyn/ and here are the instructions and code: ... Continue reading: How-to: Facebook Robyn marketing mix modeling http://dlvr.it/SBQw1N

Photo by Louis Reed on Unsplash R/PharmaOpens a new window is here! Running until November 4th, this free conference focuses on the use of R and other open-source software in the development of pharmaceuticals. We are excited to announce various workshops and sessions led by our RStudio colleagues. Register ... Continue reading: RStudio at R/Pharma 2021 http://dlvr.it/SBQw0S

The higher education students have had trouble being housing in Turkey in recent days. There have been people who even sleep on the streets like a homeless. The government has been accused of investing inadequate dormitories for sheltering the students. Let’s examine the ongoing sheltering problem of students. The ... Continue reading: Dynamic Regression with ARIMA Errors: The Students on the Streets http://dlvr.it/SBQvym

I started dabbling in crypto trading on Binance at the beginning of September 2021. I am really impressed with the interface, which is smooth and full featured (if perhaps a little complicated and confusing!). One of the things that has frustrated me though is not being able to get an idea ... Continue reading: {binance} Tracking Total Account Balance http://dlvr.it/SBQvxp

How do you determine sample size when the goal of a study is not to conduct a null hypothesis test but to provide an estimate of multiple effect sizes? I needed to get a handle on this for a recent grant submission, which I’ve been writing about ov... Continue reading: Sample size requirements for a Bayesian factorial study design http://dlvr.it/SBMNWB

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Visit finnstats.com... The post Simple Linear Regression in r appeared first on finnstats. Continue reading: Simple Linear Regression in r http://dlvr.it/SBMNW3

It can be difficult running an R user group in a country where R does not have a large following. R Consortium talked with Francis Mensah, who runs the R... The post R Accra Talks About Expanding R in Ghana appeared first on R Consortium. Continue reading: R Accra Talks About Expanding R in Ghana http://dlvr.it/SBMNVt

Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to... The post Analysis of Variance in R: 3 Steps appeared first on finnstats. Continue reading: Analysis of Variance in R: 3 Steps http://dlvr.it/SBMNVS

Congratulations to Joshua Angrist and Guido Imbens for the Nobel Prize for their work with causality. This post will also be about causality, although not from the work of Angrist or Imbens. A year ago I read The Book of Why by Judea Pearl and Dana MacKenzie. The Book of ... Continue reading: Suggestion for limiting the boundaries for causal effects http://dlvr.it/SBMNTn

This post implements Adams and Deventer (1994) approach which generates the best fitting yield curve smoothing with the principle of maximum smoothness forward rate curve. This provides a powerful closed-form solution by which we can sidestep a kink... Continue reading: Adams and Deventer Maximum Smoothness Forward Rate Curve using R code http://dlvr.it/S9WWll

A few months ago, I started hacking together an online e-book on Visualising WRC Rally Stages With rayshader and R. One of the sections (Estimating speeds) described the construction of a simple speed model based around the curvature of the stage route. As part of another sprint into some rally ... Continue reading: Using R To Calculate A Simple Speed Model For Rally Stage Routes http://dlvr.it/S9WWlY

It’s been quiet around this blog because supervising two students for Google Summer of Code has kept me pretty busy! But we have some news… Thanks to Mr. Tejasvi Gupta and the support of GSOC, ChemoSpec and ChemoSpec2D were extended to pro... Continue reading: GSOC 2021: New Graphics for ChemoSpec http://dlvr.it/S9WWlL

Einleitung und Fragestellung In den letzten Jahren1 konnten in diversen Ländern der Aufstieg populistischer Phänomene beobachtet werden: der Aufstieg der AfD in Deutschland, die seit ihrer Gründung binnen 5 Jahren in sämtlichen deutschen Landtagen, d... Continue reading: Umfragewerte oder Medienpräsenz: Was kommt zuerst? http://dlvr.it/S9WWl8

Survival analysis and germination/emergence data: an overlooked connection Seed germination and emergence data describe the time until the event of interest occurs and, therefore, they can be put together in the wide group of time-to-event data. Y... Continue reading: Analysing seed germination and emergence data with R (a tutorial). Part 2 http://dlvr.it/S9WWkw

The ggplot2 package is an essential tool in every data scientists toolkit. Today we show you how to use ggplot2 to make a professional heatmap that organizes customers by their sales purchasing habits. R-Tips Weekly This article is part of R-Tips Wee... Continue reading: How to Make a Heatmap of Customers in R [Video] http://dlvr.it/S9QNDd

This post is inspired by a really approachable post on particle swarm optimisation by Adrian Tam. We’ll build a basic particle swam optimiser in R and try to visualise the results. Libraries # install.packages(pacman) pacman::p_load(dplyr, ggan... Continue reading: How to build a basic particle swarm optimiser from scratch in R http://dlvr.it/S9QN9p

Improve your reach This edition of RStudio Connect introduces support for Tableau Analytics Extensions, our first external integration with a BI tool. Tableau Analytics Extensions provide a way to create calculated fields in workbooks tha... Continue reading: RStudio Connect 2021.09.0 Tableau Analytics Extensions http://dlvr.it/S9QN7q

We are excited to welcome Emily Riederer, Adam Sparks, and Jeff Hollister to our team of Associate Editors for rOpenSci Software Peer Review. They join Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, Karthik Ram, Noam Ross, Maëlle Salmon... Continue reading: Announcing New Software Peer Review Editors: Emily Riederer, Adam Sparks, and Jeff Hollister http://dlvr.it/S9QN5L

Factorial study designs present a number of analytic challenges, not least of which is how to best understand whether simultaneously applying multiple interventions is beneficial. Last time I presented a possible approach that focuses on estimating the variance of effect size estimates using a Bayesian model. The scenario I used ... Continue reading: A Bayesian analysis of a factorial design focusing on effect size estimates http://dlvr.it/S9QN2w

Photo by Michael Longmire on Unsplash When teaching a course on biomedical data science, just the initial set up can trip up learning. What versions of R are students using? What if their computer doesn’t let them install a n... Continue reading: Teaching a Biomedical Data Science Course Using RStudio Cloud http://dlvr.it/S93mX1

Intro Early last year I posted on my blog an attempt to recreate a Yahoo Finance graphic. Now, thanks to the work of Dr Paul Murrell on the grid and gggrid packages, I have the tools to polish this one off. Reference Article Here is a streamlined ... Continue reading: Replicating Plots: Oil Pathways with Radial Gradient http://dlvr.it/S93mSm

The Agile By Example conference is coming soon! Next week in October (11-13) will be the biggest Agile conference in Poland. To be agile in R is to be effective at software development. But there’s no one-size-fits-all recipe here because being Agile means focusing on the people in your ... Continue reading: Agile in R: Appsilon Speakers at Agile By Example 2021 http://dlvr.it/S930md

Mirai Solutions stays engaged in the development and maintenance of the front-end of the OASIS LMF (Loss Modeling Framework) platform. The OASIS UI is under constant development, with new features coming out on a regular basis to enhance its usabili... Continue reading: OASIS UI technical updates http://dlvr.it/S91vJB

Intro Early last year I posted on my blog an attempt to recreate a Yahoo Finance graphic. Now, thanks to the work of Dr Paul Murrell on the grid and gggrid packages, I have the tools to polish this one off. Reference Article Here is a streamlined ... Continue reading: Replicating Plots: Oil Pathways Part 2 http://dlvr.it/S90rzX

R Consortium talks to Harvey Lieberman on their growth both pre and post COVID. They have adapted in a way that promotes R in Pharma as well as allowing them... The post R in Pharma works to allow an open inclusive environment appeared first on R Consortium. Continue reading: R in Pharma works to allow an open inclusive environment http://dlvr.it/S8zqDK

Restricted Boltzmann Machine is used to detect patterns in data, in an unsupervised way. If you haven’t read the previous posts yet, you can read them by clicking the below links. Introduction to Machine... The post Restricted Boltzmann Machine (RBM) appeared first on finnstats. Continue reading: Restricted Boltzmann Machine (RBM) http://dlvr.it/S8zqBL

The concept of “wide data” is relative. In some domains 100 columns is considered “wide”, while in others that’s perfectly normal and you’d need to have thousands (or tens of thousands!) of columns for it to be considered even remotely “wide”. The data that we work with at Fathom ... Continue reading: Working with Fairly Wide Data http://dlvr.it/S8xfp7

I’m so, so excited to announce that the ‘Engineering Production-Grade Shiny Apps’ book is now available in print! This book is the result of two years of work, and I couldn’t be more happy to see it available in print. As its title suggests, ‘Enginee... Continue reading: The ‘Engineering Production-Grade Shiny Apps’ book is available in print! http://dlvr.it/S8wVQZ

Introduction Simple linear regression: reminder Principle Equation Interpretations of coefficients \(\widehat\beta\) Significance of the relationship Correlation does not imply causation Conditions of application Visualizations Multiple linear regression Principle Equation Interpretations of coefficients \(\widehat\beta\) Conditions of application How to choose a good linear model? \(P\)-value associated to the ... Continue reading: Multiple linear regression made simple http://dlvr.it/S8vk5P

Photo by Kelsey Knight on Unsplash I’m delighted to announce that pins 1.0.0 is now available on CRAN. The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of pin boards, ... Continue reading: pins 1.0.0 http://dlvr.it/S8vk58

Novel Algebraic Approaches to Maximum Likelihood Estimation The seventh “One World webinar” organized by YoungStatS will take place on November 17th, 2021. Maximum likelihood estimation (MLE) is a tool in data analysis to estimate a probability di... Continue reading: Novel Algebraic Approaches to Maximum Likelihood Estimation http://dlvr.it/S8vk2x

Recurrent Neural Networks, This is a follow-up to one of our previous posts, which you can read here if you missed it. Let’s look into Recurrent Neural Networks and the different types of issues that they... The post Introduction to Recurrent Neural Networks appeared first on finnstats. Continue reading: Introduction to Recurrent Neural Networks http://dlvr.it/S8t5dw

The concept of “wide data” is relative. In some domains 100 columns is considered “wide”, while in others that’s perfectly normal and you’d need to have thousands (or tens of thousands!) of columns for it to be considered even remotely “wide”. The data that we work with at Fathom ... Continue reading: Working with Really Wide Data http://dlvr.it/S8s2JM

Due to the high amount of packages in the mlr3 ecosystem, it is hard to keep up with the latest changes across all packages. This post tries to tackle this issue by listing all release notes of the packages most recent releases in the last quarter.... Continue reading: mlr3 package updates – Q3/2021 http://dlvr.it/S8qSTz

Convolutional neural networks, Let’s look at a picture classification problem. Assume you have a data set including numerous photographs of planes and cars. And you’d like to create a model that can recognize and... The post Convolutional Neural Networks appeared first on finnstats. Continue reading: Convolutional Neural Networks http://dlvr.it/S8nmQ9

This post explains how to call Java functions from jar file in R. This is useful especially when derivatives pricing or risk calculation engine already have been developed well in the form of Java in your company. It is more efficient to use time-te... Continue reading: Using Java functions from JAR file in R using rJava http://dlvr.it/S8m9gH

I have put together a complete guide to model training, docker file creation and then consuming your API in R. This has arisen as part of a workshop the NHS-R community are doing around R in Production: show and tell, but instead of just making it local, I thought I ... Continue reading: Crash Course in R Model Deployment with Docker and friends http://dlvr.it/S8lT7y

Running R code for all combinations of some parameters with lapply karate Sometimes we want to run the same bit of code many times for different parameters. Then if we have multiple parameters, we may want to run the code for all combinations of those... Continue reading: Running R code for all combinations of some parameters with lapply karate http://dlvr.it/S8kPRl

Hey: we are sharing some twenty open, free R notebooks to learn Data Science in R here! Our big educational gig is back: DATA SCIENCE SESSIONS VOL. 1 :: 2021/22, a 24 weeks, intense, introductory Data Science course in R will begin in October 2021. The course material is GPLv2 licensed, which means that you […] Continue reading: DATA SCIENCE SESSIONS VOL. 1 :: 2021/22 :: Introduction to Data Science in R http://dlvr.it/S8kPRK

Advancements in Symbolic Data Analysis The sixth “One World webinar” organized by YoungStatS will take place on October 27th, 2021. With the development of digital systems, very large datasets have become routine. However, standard statistical app... Continue reading: Advancements in Symbolic Data Analysis http://dlvr.it/S8jJKh