Advances in Social Science Research Using R: 196 (Lecture Notes in Statistics)

Imai, Kosuke and Kabir Khanna. Imai, Kosuke and Marc Ratkovic. R Package for Causal Mediation Analysis. A Survey Experiment in Afghanistan. Winner of the Pi Sigma Alpha Award. Imai, Kosuke and Teppei Yamamoto. Revisiting Evidence from Framing Experiments. Reprinted in Advances in Political Methodology , R.

Imai, Kosuke, and Dustin Tingley. Blair, Graeme and Kosuke Imai. Measuring Support for Militant Groups in Pakistan. Imai, Kosuke, and Aaron Strauss. Nonparametric Preprocessing for Parametric Causal Inference. R Package for Ecological Inference in 2 x 2 Tables. Imai, Kosuke, and Teppei Yamamoto. Nonparametric Identification and Sensitivity Analysis. For previous versions of ModernDive, see Section 1. This book assumes no prerequisites: 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. 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 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.

Script for the seminar Causal Analysis at the University of Mannheim. Bauer right now - Spring Semester - at the University of Mannheim. 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 Beleidsinformatica […] Dit document bevatten de lecture notes voor het opleidingsonderdeel Beleidsinformatica , gedoceerd aan de Universiteit Hasselt. We raden aan om deze lecture notes steeds kort na het hoorcollege door te nemen en aan te vullen met je eigen notities uit het college. This document provides an introduction to machine learning for applied researchers.

While conceptual in nature, demonstrations are provided for several common machine learning approaches of a supervised nature. In addition, all the R examples, which utilize the caret package, are also provided in Python via scikit-learn. Deixe eu explicar melhor. 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.

Advances in Social Science Research Using R : Hrishikesh D. Vinod :

This is a minimal book created by using the bookdown package. The output format for this little book is bookdown:: 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. A short course on nonparametric curve estimation […] This course is intended to provide an introduction to nonparametric estimation of the density and regression functions from, mostly, the perspective of kernel smoothing.

The emphasis is placed in building intuition behind the methods, gaining insights into their asymptotic properties, and showing their application through the use of statistical software.

My book about adventures in a video game named Minecraft. How to do comparative methods for evolution and ecology […] This book was created as part of my PhyloMeth class, which focuses on sensibly using and developing comparative methods. The book is available here but you can fork it, add issues, and look at raw source code at https: You can view this book in any modern desktop browser, as well as on your phone or tablet device.

The site is self-contained—it contains all the material you are expected to learn this year. Bethan Hindle is running the course this year. Please email her if you spot any problems. You will be introduced to the R ecosystem. Generalized Linear Models and Multilevel Models is intended to be accessible to undergraduate students who have successfully completed a regression course through, for example, a textbook like Stat2.

We started teaching this course at St. Olaf in so students would be able to deal with the non-normal, correlated world we live in. It has been offered at St. Olaf every year since; in fact, it is required for all statistics concentrators. R Markdown supports Latex, so you can make pretty equations like Professor Kapelner likes: To type inline latex, just surround your code with dollar signs.

That was published like this: Every section except for these first 2 sentences and section 3, the biochemistry guide is from their sample book. 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: 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.

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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 will teach you how to do run simulations to observe the properties of the James-Stein Estimator in R — specifically using the tidyverse: 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. This process is fundamental for our life on Earth, and it has been intensively studied for centuries by scientists. 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.

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.

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This book will use the nycflights13 dataset This package contains information about all flights that departed from NYC in 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. The Unix Workbench […] Cover Image: 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. 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. 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.

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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. The website is focused on presenting figures and deliberately only offers short descriptions and interpretations. Content on this site is actively built and refined throughout the semester.

It is currently structured into five chapters but we plan to extend it when further steps of our analysis become available. 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.

Students that are unsure about whether something is permitted under the policies described in the syllabus should consult with the instructor well before a particular deadline. The purpose of the class project is to formulate and explore a research question of the student's devising related to network analysis and modeling. Students may work in small teams. The deliverables are i a short 10 minute in-class presentation of the project results, and ii a page writeup. See the syllabus for more details. Tentative Schedule Week 1: Introduction and overview Lecture 0 and Lecture 1 Week 2: Measures of structural importance Lecture 2 Week 3: Spreading processes on networks Lecture 7 , Kleinberg Ch 24 Week 8: Ranking in directed networks and pairwise comparisons Lecture 8 Week 9: Wrangling network data I: Wrangling network data II: Spatial networks Lecture 11 Week Growing networks Lecture 12 Week Fall break Week Dynamic networks Lecture 13 Weeks Project presentations and Wrap up Problem Sets.

Supplemental Readings Week 1: Newman, " The structure and function of complex networks. Breiman, " Statistical Modeling: Newman, " Power laws, Pareto distributions and Zipf's law. Newman, " Power-law distributions in empirical data. Larremore " Progress is Infectious ". Borgati, " Centrality and network flow.

Advances in Social Science Research Using R

Newman, " Friendship networks and social status. Adey, " Random representation of spatially embedded complex transportation networks. Cook, " Birds of a Feather: Homophily in Social Networks. Newman, " Mixing patterns in networks. Lambiotte, " Multiscale mixing patterns in networks. USA , Early Edition Moore, " Finding community structure in very large networks. Clauset, " Performance of modularity maximization in practical contexts.