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PROGRAMMING WITH R
In previous posts (here and here) we created a simple function that returns a single numeric value. In some situations it may be more useful to return a more flexible data type, such as a list object, to provide more information about the calculations that have beenperformed. We can
ANALYZING PUBLIC HEALTH DATA IN R Today’s post is by Thomas Yokota, an epidemiologist in Hawaii. I’ve been corresponding with Thomas via email and telephone for a while. I asked Thomas if he could write an introduction to how R, mapping and open data are used in the public health community. This ishis
BANG BANG – HOW TO PROGRAM WITH DPLYR Furthermore, !! also works with symbols, functions, and constants. Perfecting our function. Now, we want to add an argument for the variable we are summarizing to refine our function. At the moment we have air_time hardcoded into it. Thus, we want to replace it with a general summary_var as an argument in our function. Additionally, we want the column names of the final output data frame to A GENTLE INTRODUCTION TO SHAP VALUES IN R PROBLEM COMPILING RSQLITE FROM SOURCE Recent Posts. Tips And Tricks For Data Scientists Vol.8; GooglyPlusPlus2021 is now fully interactive!!! Bioconductor Asia Membership Increasing Due to Going Virtual PRINCIPAL COMPONENT ANALYSIS (PCA) IN R CLUSTER ANALYSIS IN R Cluster Analysis in R, when we do data analytics, there are two kinds of approaches one is supervised and another is unsupervised. Clustering is The post Cluster Analysis in MMTABLE2: GGPLOT2 FOR TABLES This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Here are the links to get set up. 👇 Get the Code YouTube Tutorial mmtable2 A ggplot2-syntax for making tables NAIVE BAYES CLASSIFICATION IN R Naive Bayes Classification in R, In this tutorial, we are going to discuss the prediction model based on Naive Bayes classification. Naive Bayes is a classification technique based on Bayes’ Theorem with an assumption of independence among predictors. MASTERING R PRESENTATIONS How to start. The first step is to get R and RStudio, and install the package rmarkdown with the code. install.packages("rmarkdown") In the last versions you can directly create presentations going to File -> New File -> R Presentation.Then, a .RPres document is going to be created. This is the simplest, really simplest, way to start but my advice is to go quickly to the next step if you wantPROGRAMMING WITH R
In previous posts (here and here) we created a simple function that returns a single numeric value. In some situations it may be more useful to return a more flexible data type, such as a list object, to provide more information about the calculations that have beenperformed. We can
ANALYZING PUBLIC HEALTH DATA IN R Today’s post is by Thomas Yokota, an epidemiologist in Hawaii. I’ve been corresponding with Thomas via email and telephone for a while. I asked Thomas if he could write an introduction to how R, mapping and open data are used in the public health community. This ishis
BANG BANG – HOW TO PROGRAM WITH DPLYR Furthermore, !! also works with symbols, functions, and constants. Perfecting our function. Now, we want to add an argument for the variable we are summarizing to refine our function. At the moment we have air_time hardcoded into it. Thus, we want to replace it with a general summary_var as an argument in our function. Additionally, we want the column names of the final output data frame to A GENTLE INTRODUCTION TO SHAP VALUES IN R PROBLEM COMPILING RSQLITE FROM SOURCE Recent Posts. Tips And Tricks For Data Scientists Vol.8; GooglyPlusPlus2021 is now fully interactive!!! Bioconductor Asia Membership Increasing Due to Going Virtual FUNCTIONAL PCA WITH R In two previous posts, Introduction to Functional Data Analysis with R and Basic FDA Descriptive Statistics with R, I began looking into FDA from a beginners perspective.In this post, I would like to continue where I left off and investigate Functional Principal Components Analysis (FPCA), the analog of ordinary Principal Components Analysis in multivariate statistics. USING GEOSPATIAL DATA IN R The use of geospatial data – data that can be mapped using geographic information systems (GIS) – has become increasingly widespread in the social sciences. Applications not only extend to the analysis of classical geographical entities (e.g., policy diffusion across spatially proximate countries) but increasingly also to analyses of micro-level data, QQ-PLOTS IN R: QUANTILE-QUANTILE PLOTS-QUICK START GUIDE QQ-plots in R, first need to understand the Q-Q plot. The Q-Q plot is a graphical tool to help us examine if a set The post QQ-plots in R: Quantile-Quantile Plots LINE TYPES IN R: ULTIMATE GUIDE FOR R BASEPLOT AND GGPLOT There are six pre-described line types available in base R. You can use those for any type of graphics, like plotting for line charts The post Line types in R: Ultimate Guide For R Baseplot and ggplot appeared first on finnstats. NAIVE BAYES CLASSIFICATION IN R Naive Bayes Classification in R, In this tutorial, we are going to discuss the prediction model based on Naive Bayes classification. Naive Bayes is a classification technique based on Bayes’ Theorem with an assumption of independence among predictors. HEART DISEASE PREDICTION FROM PATIENT DATA IN R In this post I’ll be attempting to leverage the parsnip package in R to run through some straightforward predictive analytics/machine learning. Parsnip provides a flexible and consistent interface to apply common regression and classification algorithms in R. I’ll be working with the Cleveland Clinic Heart Disease dataset BUILDING EFFECTIVE DATA SCIENCE TEAMS: ANSWERING YOUR Elaine: I think one of the answers, which I wish were not the answer, is that a lot depends on finding the right home in the organization. I don’t think there’s one clear answer to what that is. It depends a lot on your company and stakeholders. In terms of scaling up, even if you have a lot of credibility, have produced a lot of great work and people are excited about the data science RUNNING SHINY SERVER IN DOCKER We looked at best practices for R with Docker where we compared four commonly used parent images. It was common in these images that these all contained a “local” Shiny app using shiny::runApp().A special breed of dockerized Shiny apps is when the Shiny Server is running inside the Docker container. ERROR BAR PLOT IN R-ADDING ERROR BARS-QUICK GUIDE To leave a comment for the author, please follow the link and comment on their blog: Methods – finnstats. KENDALL’S RANK CORRELATION IN R-CORRELATION TEST Kendall’s Rank Correlation in R, Kendall’s rank correlation coefficient is suitable for the paired ranks as in the case of Spearman’s rank correlation. The The post Kendall’s Rank Correlation in R-Correlation Test appeared first on finnstats.MENU
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WHY R WEBINAR – MOCKING IN R November 25, 2020 | Why R? Foundation Tomorrow at Why R? Webinars we will have a chance to guest Max Kronborg who will present Mocking in R. The biogram and the link to YouTube are below. Go the video and set a reminder! Thursday November 26th. 7:00pm UTC webinars whyr.pl/webinars/ ... WARSPEED 5 — PRIORS AND MODELS CONTINUED November 24, 2020 | Posts on R Lover ! a programmer My last 4 posts have all focused on the vaccines being produced to fight COVID-19. They have primarily focused on Bayesian methods (or at least comparing bayesian to frequentist methods). This one follows that pattern and provides expanded cover... COVID-19 MOBILITY DATA November 24, 2020 | R Views We are in the middle of a mind-boggling natural experiment here in the United States. In spite of the advice from the CDC and dire warnings from our nation’s health care experts, millions of Americans will travel over the long holiday weekend. Although the number of people flying is ... THE RIDDLE(R) OF THE CERTAIN WINNER LOSING IN THE END November 24, 2020 | xi'an Considering a binary random walk, starting at zero, what is the probability of being almost sure of winning at some point only to lose at the end? This is the question set by the post-election Riddler, with almost sure meaning above 99% and the time horizon set to n=101steps (it ...
2020-05 ADDING TIKZ SUPPORT TO ‘DVIR’ November 24, 2020 | pmur002 This report describes an update to the R package ‘dvir’ to add support for the TikZ graphics package. This allows R users to make use...
BASIC MULTIPAGE ROUTING TUTORIAL FOR SHINY APPS: SHINY.ROUTER November 24, 2020 | Dario Radečić Basic Routing for Shiny Web Applications Web applications couldn’t exist without routing. Think about it in terms of the Appsilon website – you’ve visited our home page, navigated to the blog, and opened this particular article. That’s routing in a nutshell – matching UI components to a URL. Appsilon ... REVERSE ENGINEERING ASTRAZENECA’S VACCINE TRIAL PRESS RELEASE November 24, 2020 | Economics and R - R posts In their press release AstraZeneca provide the following information about an interim analysis of their vaccine trial: One dosing regimen (first a half dose and at least a month later a full dose) with 2741 participants showed 90% efficacy ... VISUALIZING GEOSPATIAL DATA IN R—PART 1: FINDING, LOADING, ANDCLEANING DATA
November 24, 2020 | Nathaniel Schmucker How to load geospatial data into your workspace and prepare it forvisualization.
XKCD COMICS AS A MINIMAL EXAMPLE FOR CALLING APIS, DOWNLOADING FILES AND DISPLAYING PNG IMAGES WITH R November 24, 2020 | Learning Machines xkcd webcomics is one of the institutions of the internet, especially for the nerd community. If you want to learn how to fetch JSON data from a REST API, download a file from the internet and display a PNG file in a ultra-simple example, read on! Many services on the ... TO PEEK OR NOT TO PEEK AFTER 32 CASES? EXPLORING THAT QUESTION IN BIONTECH/PFIZER’S VACCINE TRIAL November 24, 2020 | Economics and R - R posts This is my 4th post about Biontech/Pfizer’s Covid-19 vaccine trial. If you are missing background, please first look at my 2nd post and 3rd post. Biontech/Pfizer originally planed to analyze the vaccine efficacy at 5 stages: after 32, 62, 92, 120 and ... A/B TESTING MY RESUME November 24, 2020 | David Lindelöf Internet wisdom is divided on whether one-page resumes are more effective at landing you an interview than two-page ones. Most of the advice out there seems much opinion- or anecdotal-based, with very little scientific basis. Well, let’s fix that. Being currently open to work, I thought this would be ... UPCOMING WORKSHOP: INTRODUCTION TO AGILE November 24, 2020 | Mirai Solutions Last but not least, the workshop ‘Not Agile yet? Experience being part of a scrum team’ will bring to close Mirai first series of workshop in Data Science! How can we talk about software development best practices and modern devops without talking a... DEPLOYING AN R SHINY APP ON HEROKU FREE TIER November 23, 2020 | Tim M. Schendzielorz Continuous Deployment made easy with GitHub Actions and Heroku This article is a short guide on deploying a Shiny app on Heroku. Familiarity with Docker, Shiny and GitHub is presumed. For an introduction to Docker, see Deploying a Shiny Flexdashboard with Docker. This article was also published on https://www.... FORECASTING TIME SERIES ARIMA MODELS (10 MUST-KNOW TIDYVERSE FUNCTIONS#5)
November 23, 2020 | Business Science This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Making multiple ARIMA Time Series models in R used to be difficult. But, with the purrr nest() function and modeltime, fore... BLUESKY STATISTICS INTRO AND USER GUIDES NOW AVAILABLE November 23, 2020 | Bob Muenchen BlueSky Statistics is an easy-to-use menu system that uses the R language to do all its work. My detailed review of BlueSky is available here, and a brief comparison of the various menu systems for R is here. I’ve just … Continue reading → The post BlueSky Statistics Intro and User ... ROBSERVATIONS #4 USING BASE R TO CLEAN DATA November 23, 2020 | Benjamin Smith A friend of mine had some data which was mixed with character strings and was interested in looking at the numeric data only; Because the data set was quite large, cleaning it manually wasn’t viable. Besides for being too great of a task to do manually – tamperingwith the ...
WHAT’S THE MOST SUCCESSFUL DANCING WITH THE STARS “PROFESSION”? VISUALIZING WITH {GT} November 23, 2020 | R | JLaw's R Blog Motivation During this pandemic I’ve found a source of comfort in Dancing with the Stars (DWTS). I’ve never watched any other season before and I think a large part of starting now are: Lack of anything else to watch The rapper Nelly (and the St. Lunatics) have a ...POINTBLANK V0.6
November 23, 2020 | Posts | R & R With the release of pointblank v0.6, workflows for the validation of tabular data have been refined. On top of those improvements, we have a new workflow for describing our tabular data. There’s really so much that’s new in the release that we can only go over the big ... A LATENT THRESHOLD MODEL TO DICHOTOMIZE A CONTINUOUS PREDICTOR November 23, 2020 | Keith Goldfeld This is the context. In the convalescent plasma pooled individual patient level meta-analysis we are conducting as part of the COMPILE study, there is great interest in understanding the impact of antibody levels on outcomes. (I’ve described variou... THE ‘CIRCULAR RANDOM WALK’ PUZZLE: TIDY SIMULATION OF STOCHASTICPROCESSES IN R
November 23, 2020 | David Robinson Previously in this series The “lost boarding pass” puzzle The “deadly board game” puzzle The “knight on an infinite chessboard” puzzle The “largest stock profit or loss” puzzle The “birthday paradox” puzzle The “Spelling Bee honeycomb” pu...1 2 3
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