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There are many good textbooks for critical thinking on the market today, so why write another one? None cover all of the topics that I would like to cover in class. If you want to know more about me or contact me you can visit my Linkedin profile or my Twitter account.


This is my final project for the Kschool Master on Data Science 8th edition. Je sais ce que je veux et comment y arriver. Je suis flexible et dynamique. This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf The tales of a voyage sailing away from Brexit Britain. To Natalie - for once upon a time, on the banks of the Thames, encouraging me to keep writing.

The story of a small journey in Autumn Its two participants head south in their car Dot. Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts.

This is a book on data visualization using ggplot2 created for the Stanford Data Challenge Lab. These are solutions from the book by Richard McElreath. Referentiekaarten […] Voor de KRW is een groot deel van het oppervlaktewater aangewezen als waterlichaam. Voor deze wateren moet de toestand van het aquatisch ecosysteem beschreven worden.

De informatie over de huidige situatie en ontwikkelingen van het aquatisch ecosysteem in de regio Amstel, Gooi en Vechtstreek bundelen wij in een zogenaamde Atlas met thema kaarten. Onze doelstellingen en de huidige ecologische kwaliteit zijn verbeeld in de afbeeldingen hieronder.

Op een andere pagina Waterkwaliteit in beeld staan kaarten van verschillende indicatoren van ecologische kwaliteit voor de Habitatrichtlijn Natura en de Kaderrichtlijn water. Waterkwaliteit in beeld […] De informatie over de huidige situatie en ontwikkelingen van het aquatisch ecosysteem in de regio Amstel, Gooi en Vechtstreek bundelen wij in een zogenaamde Atlas met thema kaarten. In hoofdstuk 2 staan kaarten van verschillende indicatoren van ecologische kwaliteit voor de Habitatrichtlijn Natura en de Kaderrichtlijn water.

El libro se compone de 4 partes. Parte I cubre la parte introductoria. Simple cookbook for functions and idioms within the scope of the tidyverse. As an extra I would like to provide similar solutions based on base R functionality. Some reasons to write this book: One strength of the tidyverse is that it hides a lot of quirks that base R provides and inherits to many packages that rely on it. This allows to stick to a specific workflow from the point you enter the tidyverse until you leave it.

Bauer at the University of Bern Fall Semester Notes for Statistical Inference. You can read more about this project by reading its main paper or looking at the code repository. This guide will not explain or require any analysis of the java code. The tutorial has since then been expanded continuously, based on response from the many users and based on new developments. It is an introductory course for students who have basic background in Statistics, Data analysis, R Programming and linear algebra matrices. This document will introduce participants to the basics of R Markdown.

After an introduction to concepts related to reproducible programming and research, demonstrations of standard markdown, as well as overviews of different formats, will be provided, including exercises. Dieses Buch befindet sich zur Zeit in Arbeit. An geeigneter Stelle wird auf diese Quellen verwiesen. A statistics book for designers, human factors specialists, UX researchers, applied psychologists and everyone else who works hard to make this world a better place.

It carves out the basic elements of empirical design research, such as users, designs and performance and links them to typical research problems. Then the idea of design as decision making under uncertainty is developed at the example of two case studies. This is a workflow for metabolomics studies. It would cover a full reproducible metabolomics workflow for data analysis and important topics related to metabolomics.

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Here is a list: This is a book written in Bookdown. You could contribute it by a pull request in Github. Beginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. Stock and Mark W.

Watson It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.

Ecologische waterkwaliteit Botshol […] AGV is als waterbeheerder verantwoordelijk dat de wateren in haar beheergebied voldoen aan de waterkwaliteitsdoelstellingen van de Europese Kaderrichtlijn Water KRW en aan doelstellingen die zijn geformuleerd in het Natura beheerplan. Deze richtlijnen hebben als einddoel schoon en gezond water. Mastering DFS Analytics is a data-driven program to improve your daily fantasy sports results.

In addition to the ebook, you get Comments? The Grange-Lab Manual provides information on all you want or need to know about working in the Grange Lab. The focus of this document is on common data processing and exploration techniques in R, especially as a prelude to visualization. For visualization, the focus will be on using ggplot2 and other packages that allow for interactivity.

In addition, basic programming concepts and techniques are introduced. Exercises may be found in the document as well. In addition, the demonstrations of the data processing section are available in Python via Jupyter notebooks. First try on a book on tidy Portfolio Managment in R. In the past years I have been a heavy promoter of the Rmetrics tools for my lectures and research. However, in the last year the development of the project has stagnated due to the tragic death of its founder Prof. This document provides a brief comparison of various approaches to dealing with clustered data situations.

This document focuses on structural equation modeling. It is conceptually based, and tries to generalize beyond the standard SEM treatment. It includes special emphasis on the lavaan package. This document covers a wide range of topics, including how to process text generally, and demonstrations of sentiment analysis, parts-of-speech tagging, word embeddings, and topic modeling. Exercises are provided for some topics. This book is the official documentation for the R package IsoriX. The chapters 1 to 5 are almost complete but you will have to wait for the other chapters to follow.

A guide to creating modern data visualizations with R. Starting with data preparation, topics include how to create effective univariate, bivariate, and multivariate graphs. In addition specialized graphs including geographic maps, the display of change over time, flow diagrams, interactive graphs, and graphs that help with the interpret statistical models are included. Focus is on the 45 most popular graph types. The guide also includes detailed instructions on how to customizing graphs, and ends with a chapter on graphing best practices.

Although strongly based on the ggplot2 package, other approaches are included as well. This guide aims to introduce the reader to the main elements of the R ecosystem. Both editions of his text have been from a frequentist OLS perspective. This document provides an introduction to Bayesian data analysis. It is conceptual in nature, but uses the probabilistic programming language Stan for demonstration and its implementation in R via rstan.

From elementary examples, guidance is provided for data preparation, efficient modeling, diagnostics, and more. The idea was to embed code chunks of R or other languages in Markdown documents. Looking back over the five years, it seems to be fair to say that Markdown has become the most popular document format, which is what we expected. This is a short course on survival analysis applied to the financial field. It is mainly focussed on applying the stastical tecnquines developed in the survival field to the financial industry.

I taught this course off and on from — to upper level PhD students in Biostatistics. The course ran for 8 weeks each year, which is a fairly compressed schedule for material of this nature. Perhaps even more importantly work with data puts learners in the position to use data to ask and answer questions, a potentially empowering capability. This is a collection of the discussion lists from Macroeconomics.

Item 2 is for data visualization. And item 3 is for general discussion regarding world news. Data Visualization Project […] This study aims at investigating how the change of information dissemination process would affect the window-dressing behaviors of mutual fund managers. By convention, window-dressing is defined as the portfolio manipulations right before the quarter-end date, when all the fund managers are required to disclosure their holding firms of that date. Over the past decades, technological progresses largely change the way how information disseminates, and these further influence the information flow of capital markets.

We assume knowledge of calculus at the level of Calculus II. We do not assume prior experience with statistics or programming, though students who have no experience with either statistics or programming before starting this class should expect to have to work hard. We will be using R as an integral part of the exposition — you should not read this book without first getting R Studio installed.

This neorealist appropriation has met substantial criticism and many revisionist scholars have urged a re-examining of Thucydides. A summary of research conducted hitherto. Using the bookdown package has enabled me to piece together my research in a quick and neat manner. I have tried to convey complex terms as simply as possible utilizing visual examples where I can. Script for a an R course at the European University Institute.

Dit zijn de lecture notes van het opleidingsonderdeel Business Process Management […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Business Process Management , gedoceerd aan de Universiteit Hasselt. Brief introduction to Statistic […] Many statistical quantities derived from data samples are found to follow the Chi-squared distribution.

Hence we can use it to test whether a population fits a particular theoretical probability distribution. In this section, we consider a multinomial experiment with k outcomes that correspond to categories of a single qualitative variable. The results of such an experiment are summarized in a one-way table. The term one-way is used because only one variable is classified.

Het idee van dit document is een begeleidende tekst aan te reiken ter ondersteuning van de slide-decks die gebruikt worden tijdens de hoorcolleges. This is a minimal book created by using the bookdown package. The output format for this little book is bookdown::gitbook. Novel methods for dose—response meta-analysis […] A single experiment can hardly provide a definitive answer to a scientific question. Science is oftentimes referred to as a cumulative process where results from many studies, aiming to address a common question of interest, contribute to create and update the scientific evidence.

In the cumulative paradigm, meta-analysis is the statistical methodology to combine and compare the current evidence in the field. This process lies at the heart of the concept of evidence-based medicine and plays a major role in policy and decision making. We aim to create a platform for the applied social scientists in which we can demonstrate basic statistical procedures using R R Core Team b and real data.

My book about adventures in a video game named Minecraft. Along these notes we will see how to effectively implement the statistical methods presented in the lectures. The exposition we will follow is based on learning by analyzing datasets and real-case studies, always with the help of statistical software. While doing so, we will illustrate the key insights of some multivariate techniques and the adequate use of advanced statistical software.

For now, you have to install the development versions of bookdown from Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level heading. This book explores the fundamentals of financial analytics using R and various topics from finance. This book is an introduction to functional programming and unit testing with the R programming language, for the purpose of data muning […] This book is still being written, some chapters are not finished yet, and there might be there are some typos.

You can purchase a digital copy of this book at leanpub. The version on Leanpub will not always be up-to-date, I only update it when I made very big changes new chapters, etc. But once this book will be finished, both version are going to be the same. This is the item response function IRF. The IRF is therefore a function relating the latent trait to the probability of answering the item correctly. This technical document is short, covering some common ways to generate data and exploring the James-Stein Estimator. This is a collection of data visualization handouts from Macroeconomics.

This book provides selected solutions to the exercises in the wonderful book R for Data Science by Wickham Hadley. The chapter labels in this book is the same as the original R4DS book; go to the corresponding chapter for solutions. A tutorial to R bookdownplus, an extension of R bookdown package. This books shows helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries, on the basis of R bookdown. This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] It has been great being part of the Analytical Community the last few years.

The talent being attracted into Analytics is awe inspiring. A track of papers we read and papers we collect to read in future. Arbeitsprozesse und Werkzeuge des wissenschaftlichen Arbeitens. Studieren und Forschen mit dem Internet ist beim StudienVerlag herausgekommen und heute vergriffen.

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.

Course notes for IS This is an exciting time for data analysis! These are the lecture notes for POS , the introductory probability and statistics class in the graduate program in political science at Florida State University. They freely borrow from several well-known textbooks, including those by Wackerly, Mendenhall, and Scheaffer , DeGroot and Schervish , and Casella and Berger They also borrow from my own notes as a graduate student when I was taught by Kevin Clarke.

An open-source and fully-reproducible electronic textbook bridging the gap between traditional introductory statistics and data science courses.

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Start with our Introduction for Students. This is version 0. For previous versions of ModernDive, see Section 1. This document describes the concept of Mass Customisation as it applies to Business Analytics and provides case study implementations of R Studio […] Good Morning!

How are you doing? I have been blown away by the talent being attracted into Analytics. This is an introduction and tutorial for data science in educational research. This book is being updated. Data Science and Visualizations with R […] This is a course on the use of tidyverse packages tidyverse provides a complete suite of modern data-handling tools. It is an essential toolbox for any data scientist using R.

The tidyverse package is designed to be easy to install. This course will dive into using tidyverse. It will assume you have already installed r and rstudio and how some familiarity on how to use the rstudio. This book will use the nycflights13 dataset This package contains information about all flights that departed from NYC in , flights with 16 variables. Very basic steps to weight a survey sample […] This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them.

The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK. This text avoids technical notation and language and is targeted to social scientists with a basic level of statistics and probability theory. Liquid biopsy pocket book in Chinese , written by Bioinformatics engineers.

This publication is the result of five months of work for our Data Product Architecture class project. Even though most of the information in the platform is public, authorities and organizations dedicated to fight corruption do not have a technical framework to better allocate their resources into cases. This is a collection of my favorite songs with guitar chords, produced by bookdown. Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature […] The generation of new global hypothesis, destined to understand our current global biodiversity crisis, requires a large amount of information.

Our knowledge in Ecology is principally contained in the form of published articles. This global body of literature holds a significant amount of primary data on species distributions and interactions across a large geographical and temporal scale. The website is focused on presenting figures and deliberately only offers short descriptions and interpretations. It is currently structured into five chapters but we plan to extend it when further steps of our analysis become available. Data lunch 2feb: The use of Bookdown to write documents and reports […] Make sure you have installed the latest version of R and the Preview Release of RStudio.

The following packages should be installed. If you have them already make sure they are updated. Do you have Pandoc installed? RStudio should come along with Pandoc. Muito obrigado! While the examples are focused on healthcare surveys, the lessons apply to any use of ordinal scale data. Note: all of the data in this document is fake, created specifically to illustrate particular points. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world.

This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. A list of R conferences and meetings. Please feel free to add any missing group or conference. In particular, most of the associated twitter names are missing.

There are currently R user groups and events. To propose a change, just click the pencil icon in the top left hand corner. We also maintain a corresponding list of Data Science conferences and events. Travis creates the html files from the. This is a book that contains experiments and results about the predictions of dengue outtbreaks in Thailand. Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. His research interests are high performance statistical computing and Bayesian statistics. Regarding further use of this material contact Paul.

Some of the material is inspired by the official shiny tutorial and Plotly for R by Carston Sievert. The book version has the advantage of being available in several formats, more easily updated and downloadable. Each chapter features static visualizations relevant to the games that week. Greatly extended, fully-interactive and constantly updated versions can be found on the accompanying dashboard site Additional data is available at the Premier League Web site Most of the underlying data is unofficial, unguaranteed error-free and available for a million dollars.

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This book aims to provide a panoramic perspective of the wide array of string manipulations that you can perform with R. If you are new to R, or lack experience working with character data, this book will help you get started with the basics of handling strings. Likewise, if you are already familiar with R, you will find material that shows you how to do more advanced string and text processing operations. A guide for analisis of germination variables and usage of GerminaQuant.

GerminaQuant app is reactive!.


Outputs change instantly as users modify inputs, without requiring a reload the app. The principal features of the application allow calculate the princiapal germination Variables, statistical analysis and easy way to plot the results. Remember that the p-value is determined by the test statistic and the t-distribution with n — 2 degrees of freedom in this case. The course content was sort-of-published, in Dutch, as Gifi The course was repeated in , and this time the sort-of-published version Gifi was in English.

The preface gives some details about the author. Lecture notes for my introduction to statistics class at University of Nebraska-Lincoln. At the end of this class, I hope: 1- You understand the importance of statistics; 2- You can better appreciate the numbers you get from the news; 3- You can perform your own analysis to inform yourself, and your collaborators.

This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

This resource is designed to provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research. Chart, interactive table and a selection of videos from the useR conference […] This acts as a repository for some of my favourite video talks from the recent useR conference along with the ability to view any of the offerings via a clickable table.

It is probably not the most effective of presentation but is a trial run for creating and deploying interactive books to bookdown. These are tentatively rough notes showcasing some tips on conducting large scale data analysis with R, Spark, and Microsoft R Server. The focus is primarily on machine learning with Azure HDInsight platform, but review other in-memory, large-scale data analysis platforms, such as R Services with SQL Server , and discuss how to utilize BI tools such as PowerBI and Shiny for dynamic reporting, and report generation.

This is a shiny tutorial. Backtesting strategies with R […] This book is designed to not only produce statistics on many of the most common technical patterns in the stock market, but to show actual trades in such scenarios. Test a strategy; reject if results are not promising Apply a range of parameters to strategies for optimization Attempt to kill any strategy that looks promising.

Let me explain that last one a bit. The book discusses block relaxation, alternating least squares, augmentation, and majorization algorithms to minimize loss functions, with applications in statistics, multivariate analysis, and multidimensional scaling. In this book we discuss four such classes of algorithms. Or, more precisely, we discuss a single large class of algorithms, and we show how various well-known classes of statistical algorithms fit into this common framework. R versions of the array manipulation functions of APL are presented.

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We do not translate the system functions or other parts of the runtime. Also, the current version has does not have the nested arrays of APL2. It is an array language, with many functions to manipulate multidimensional arrays. R also has multidimensional arrays, but not as many functions to work with them. In R there are no scalars, there are vectors of length one. Documentation describing my analyses of 16S rRNA sequencing data. The core of my PhD work is the Perth Otitis Media Microbiome biOMe study, where I work on the upper respiratory tract microbiome in children with recurrent acute otitis media middle ear infections.

The first stage of this research involved characterising the microbiome by 16S rRNA gene sequencing on samples from children with ear infections compared with samples from seemingly resistant healthy controls. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as help you to understand why R works the way it does. It is work in progress and under active development. The 2nd edition of Advanced R is still being revised, but we hope to provide most of the answers in The code for this book can be found on GitHub.

Your PRs and suggestions are very welcome. Big Data and Social Science […] The class on which this book is based was created in response to a very real challenge: how to introduce new ideas and methodologies about economic and social measurement into a workplace focused on producing high-quality statistics. We are deeply grateful for the inspiration and support of Census Bureau Director John Thompson and Deputy Director Nancy Potok in designing and implementing the class content and structure. As with any book, there are many people to be thanked. A lab manual for students of Climate Change Impact Assessment […] This book is an open source document, hosted on the GitLab platform project page , and published using GitLab Pages, where you are probably reading it now.

The book is automatically updated and republished every time changes are committed to the project, using the GitLab multi runner CI engine, and a Docker image with a distribution of Miniconda, including Python 3 and R. The book is built using the bookdown package Xie in R, and pandoc.

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics. This book is the complete reference to ComplexHeatmap pacakge. Examples in the book are generated under version 2. A collection of recipes. An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! Check it out! It can be shipped to over countries.

In this video I'm providing you with a download link to the nicnt. A quick tutorial on how to fix missing sample references in NI Kontakt. We show how to authorize Fingerpick or any other Kontakt Player library. This also adds Fingerpick to the Kontakt sidebar.

For info on the difference between. Most people miss out on some great functionality when they discover Kontakt. It's an incredibly deep app that has amazing power so i'll try and get a few videos. For more Kontakt tutorials visit www. If you move your Native Instruments sample libraries from the. Do you have any 3rd party. I have uncovered an effective way t. However when you install your sound libraries, you'r YouTube.

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How To Fix: Library Keeps Disappearing From Kontakt 5 Tutorial This is a short video showing how to fix the issue where your newly added libraries disappear every time you restart Kontakt 5. Ma YouTube. If you are a Mac user, check this tutorial for insta YouTube. In this video I'm providing you with a download link to the nicnt YouTube.