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Instructions for Creating Your Own R Package∗
Instructions for Creating Your Own R Package∗ In Song Kimy Phil Martinz Nina McMurryx Andy Halterman{ March 18, 2018 1 Introduction The following is a step-by-step guide to creating your own R package. Even beyond this course, you may find this useful for storing functions you create for your own research or for editing existing R packages to suit your needs. This guide contains three different sets of instructions. If you use RStudio, you can follow the \Ba- sic Instructions" in Section 2 which involve using RStudio's interface. If you do not use RStudio or you do use RStudio but want a little bit more of control, follow the instructions in Section 3. Section 4 illustrates how to create a R package with functions written in C++ via Rcpp helper functions. NOTE: Write all of your functions first (in R or RStudio) and make sure they work properly before you start compiling your package. You may also want to try compiling with a very simple function first (e.g. myfun <- function(x)fx + 7g). 2 Basic Instructions (for RStudio Users Only) All of the following should be done in RStudio, unless otherwise noted. Even if you build your package in RStudio using the \Basic Instructions," we strongly recommend that you carefully review the \Advanced Instructions" as well. RStudio has built-in tools that will do many of these steps for you, but knowing how to do them manually will make it easier for you to build and distribute your own packages in the future and/or adapt existing packages. -
Rstudio Connect: Admin Guide Version 1.5.12-7
RStudio Connect: Admin Guide Version 1.5.12-7 Abstract This guide will help an administrator install and configure RStudio Connect on a managed server. You will learn how to install the product on different operating systems, configure authentication, and monitor system resources. Contents 1 Introduction 4 1.1 System Requirements . .4 2 Getting Started 5 2.1 Installation . .5 2.2 Initial Configuration . .7 3 License Management 9 3.1 Capabilities . .9 3.2 Notification of Expiration . .9 3.3 Product Activation . .9 3.4 Connectivity Requirements . 10 3.5 Evaluations . 11 3.6 Licensing Errors . 12 3.7 Floating Licensing . 12 4 Files & Directories 15 4.1 Program Files . 15 4.2 Configuration . 15 4.3 Server Log . 15 4.4 Access Logs . 16 4.5 Application Logs . 16 4.6 Variable Data . 16 4.7 Backups . 18 4.8 Server Migrations . 18 5 Server Management 19 5.1 Stopping and Starting . 19 5.2 System Messages . 21 5.3 Health-Check . 21 5.4 Upgrading . 21 5.5 Purging RStudio Connect . 22 6 High Availability and Load Balancing 22 6.1 HA Checklist . 22 6.2 HA Limitations . 23 6.3 Updating HA Nodes . 24 6.4 Downgrading . 24 6.5 HA Details . 24 1 7 Running with a Proxy 25 7.1 Nginx Configuration . 26 7.2 Apache Configuration . 27 8 Security & Auditing 28 8.1 API Security . 28 8.2 Browser Security . 28 8.3 Audit Logs . 30 8.4 Audit Logs Command-Line Interface . 31 9 Database 31 9.1 SQLite . 31 9.2 PostgreSQL . -
Fira Code: Monospaced Font with Programming Ligatures
Personal Open source Business Explore Pricing Blog Support This repository Sign in Sign up tonsky / FiraCode Watch 282 Star 9,014 Fork 255 Code Issues 74 Pull requests 1 Projects 0 Wiki Pulse Graphs Monospaced font with programming ligatures 145 commits 1 branch 15 releases 32 contributors OFL-1.1 master New pull request Find file Clone or download lf- committed with tonsky Add mintty to the ligatures-unsupported list (#284) Latest commit d7dbc2d 16 days ago distr Version 1.203 (added `__`, closes #120) a month ago showcases Version 1.203 (added `__`, closes #120) a month ago .gitignore - Removed `!!!` `???` `;;;` `&&&` `|||` `=~` (closes #167) `~~~` `%%%` 3 months ago FiraCode.glyphs Version 1.203 (added `__`, closes #120) a month ago LICENSE version 0.6 a year ago README.md Add mintty to the ligatures-unsupported list (#284) 16 days ago gen_calt.clj Removed `/**` `**/` and disabled ligatures for `/*/` `*/*` sequences … 2 months ago release.sh removed Retina weight from webfonts 3 months ago README.md Fira Code: monospaced font with programming ligatures Problem Programmers use a lot of symbols, often encoded with several characters. For the human brain, sequences like -> , <= or := are single logical tokens, even if they take two or three characters on the screen. Your eye spends a non-zero amount of energy to scan, parse and join multiple characters into a single logical one. Ideally, all programming languages should be designed with full-fledged Unicode symbols for operators, but that’s not the case yet. Solution Download v1.203 · How to install · News & updates Fira Code is an extension of the Fira Mono font containing a set of ligatures for common programming multi-character combinations. -
Econometric Data Science
Econometric Data Science Francis X. Diebold University of Pennsylvania October 22, 2019 1 / 280 Copyright c 2013-2019, by Francis X. Diebold. All rights reserved. All materials are freely available for your use, but be warned: they are highly preliminary, significantly incomplete, and rapidly evolving. All are licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (Briefly: I retain copyright, but you can use, copy and distribute non-commercially, so long as you give me attribution and do not modify. To view a copy of the license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.) In return I ask that you please cite the books whenever appropriate, as: "Diebold, F.X. (year here), Book Title Here, Department of Economics, University of Pennsylvania, http://www.ssc.upenn.edu/ fdiebold/Textbooks.html." The painting is Enigma, by Glen Josselsohn, from Wikimedia Commons. 2 / 280 Introduction 3 / 280 Numerous Communities Use Econometrics Economists, statisticians, analysts, "data scientists" in: I Finance (Commercial banking, retail banking, investment banking, insurance, asset management, real estate, ...) I Traditional Industry (manufacturing, services, advertising, brick-and-mortar retailing, ...) I e-Industry (Google, Amazon, eBay, Uber, Microsoft, ...) I Consulting (financial services, litigation support, ...) I Government (treasury, agriculture, environment, commerce, ...) I Central Banks and International Organizations (FED, IMF, World Bank, OECD, BIS, ECB, ...) 4 / 280 Econometrics is Special Econometrics is not just \statistics using economic data". Many properties and nuances of economic data require knowledge of economics for sucessful analysis. I Emphasis on predictions, guiding decisions I Observational data I Structural change I Volatility fluctuations ("heteroskedasticity") I Even trickier in time series: Trend, Seasonality, Cycles ("serial correlation") 5 / 280 Let's Elaborate on the \Emphasis on Predictions Guiding Decisions".. -
David O. Neville, Phd, MS Rev
David O. Neville, PhD, MS Rev. 05 March 2021 The Center for Teaching, Learning, and Assessment Email: [email protected] 1119 6th Avenue Website: https://doktorfrag.com Grinnell College Twitter: https://twitter.com/doktorfrag Grinnell, IA 50112 Education MS Utah State University (Logan, Utah, USA, 2007) Instructional Technology and Learning Sciences Concentration in Computer Science; Business Information Systems PhD Washington University in St. Louis (Missouri, USA, 2002) German Language and Literature Concentration in Latin Language and Literature; Medieval Studies Ludwig-Maximilians-Universität (Munich, Germany, 1999-2000) DAAD Annual Scholarship (Jahresstipendium) AM Washington University in St. Louis (Missouri, USA, 1997) German Language and Literature BA, Brigham Young University (Provo, Utah, USA, 1994) Honors German Language and Literature Minor in Russian Language and Literature Employment Grinnell College 2015- Digital Liberal Arts Specialist Present The Digital Liberal Arts Collaborative Elon University 2014-15 Associate Professor of German Department of World Languages and Cultures 2008-14 Assistant Professor of German and Director of Language Learning Technologies Department of World Languages and Cultures Utah State 2006-08 Instructional Designer and Blackboard Administrator University Faculty Assistance Center for Teaching (FACT) 2004-06 Visiting Assistant Professor Department of Languages, Philosophy, and Speech Communication Washington 2002-03 Lecturer and Instructional Technology Specialist University Department of Germanic Languages and Literatures in St. Louis Curriculum Vitæ: David O. Neville, PhD, MS Pg. 1 Fellowships and Awards 2017 Top Three Print Poster in the 2017 Humanities, Arts, Science and Technology Alliance and Collaboratory (HASTAC) Conference Poster Competition: “Visualizing Difficult Historical Realities: The Uncle Sam Plantation Project.” With Sarah Purcell (Co-Presenter). -
B.Tech(2018 Onwards)
HERITAGE INSTITUTE OF TECHNOLOGY (An Autonomous Institute Under MAKAUT) DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING B.Tech Course Structure June 2021 Dept. of CSE, HIT-K B. Tech in CSE, Course Structure Revised: June 2021 PART I: COURSE STRUCTURE Page 1 of 129 Dept. of CSE, HIT-K B. Tech in CSE, Course Structure Revised: June 2021 FIRST YEAR FIRST SEMESTER Contacts Sl. Code Subject Credit Periods/ Week Points L T P Total A. Theory 1 CHEM1001 Chemistry-I 3 1 0 4 4 2 MATH1101 Mathematics-I 3 1 0 4 4 3 ELEC1001 Basic Electrical Engineering 3 1 0 4 4 Total Theory 9 3 0 12 12 B. Practical 1 CHEM1051 Chemistry I Lab 0 0 3 3 1.5 2 ELEC1051 Basic Electrical Engineering Lab 0 0 2 2 1 3 MECH1052 Engineering Graphics & Design 1 0 4 5 3 Total Practical 1 0 9 10 5.5 Total of Semester without Honors 10 3 9 22 17.5 C. Honors 1 HMTS1011 Communication for Professionals 3 0 0 3 3 2. HMTS1061 Professional Communication Lab 0 0 2 2 1 Total Honors 3 0 2 5 4 Total of Semester with Honors 13 3 11 27 21.5 Page 2 of 129 Dept. of CSE, HIT-K B. Tech in CSE, Course Structure Revised: June 2021 FIRST YEAR SECOND SEMESTER Contacts Sl. Code Subject Credit Periods/ Week Points L T P Total A. Theory 1 PHYS1001 Physics I 3 1 0 4 4 2 MATH1201 Mathematics II 3 1 0 4 4 3 CSEN1001 Programming for Problem Solving 3 0 0 3 3 4 HMTS1202 Business English 2 0 0 2 2 Total Theory 11 2 0 13 13 B. -
R Markdown Cheat Sheet I
1. Workflow R Markdown is a format for writing reproducible, dynamic reports with R. Use it to embed R code and results into slideshows, pdfs, html documents, Word files and more. To make a report: R Markdown Cheat Sheet i. Open - Open a file that ii. Write - Write content with the iii. Embed - Embed R code that iv. Render - Replace R code with its output and transform learn more at rmarkdown.rstudio.com uses the .Rmd extension. easy to use R Markdown syntax creates output to include in the report the report into a slideshow, pdf, html or ms Word file. rmarkdown 0.2.50 Updated: 8/14 A report. A report. A report. A report. A plot: A plot: A plot: A plot: Microsoft .Rmd Word ```{r} ```{r} ```{r} = = hist(co2) hist(co2) hist(co2) ``` ``` Reveal.js ``` ioslides, Beamer 2. Open File Start by saving a text file with the extension .Rmd, or open 3. Markdown Next, write your report in plain text. Use markdown syntax to an RStudio Rmd template describe how to format text in the final report. syntax becomes • In the menu bar, click Plain text File ▶ New File ▶ R Markdown… End a line with two spaces to start a new paragraph. *italics* and _italics_ • A window will open. Select the class of output **bold** and __bold__ you would like to make with your .Rmd file superscript^2^ ~~strikethrough~~ • Select the specific type of output to make [link](www.rstudio.com) with the radio buttons (you can change this later) # Header 1 • Click OK ## Header 2 ### Header 3 #### Header 4 ##### Header 5 ###### Header 6 4. -
Open Data – an Introduction to the Issue
ITM Web of Conferences 21, 00017 (2018) https://doi.org/10.1051/itmconf/20182100017 CST 2018 Open data – an introduction to the issue Paweł Dymora1,*, and Mirosław Mazurek1, and Bartosz Kowal1 1 Rzeszów University of Technology, Department of Complex Systems, Al. Powstancow Warszawy 12, 35-959 Rzeszów, Poland Abstract. Rapidly developing of internet technologies and digitalization of government generate more and more data. Databases from various public institutions and private sectors, e.g. in the fields of economics, transport, environment and public safety are publishing in the global Internet network, so that any user can browse them without additional charges. Most of this data is published on the open data portals. Open data - that is, "open", public data can allow the processing and analysis of information contained in them completely free of charge. This article is an introduction to a fairly new area of issues such as "open data" or "open government", presents the main mechanisms of accessing to data in public open data portals and also propose a conceptual open data/government model. 1 Open Data The term of “open data” was best defined by the Open Knowledge International non-profit organization [1]. It assumes that open data means the free data that can be freely used, re- used and distributed by anyone for any purpose [2]. This is a somewhat idealized definition of open data. Most published databases do not have all the listed properties [2 - 4]: • Free - access to data must be free, • Availability - data must be available as a whole without any intentional errors. These data must also be available in a convenient and modifiable form, e.g. -
Anika Anzum Prima Email : [email protected] Linkedin: Mobile : +1-406-580-9126
Anika Anzum Prima Email : [email protected] Linkedin: https://www.linkedin.com/in/anika-anzum-prima-70198ab3/ Mobile : +1-406-580-9126 Education Montana State University Bozeman, MT • Master's in Computer Science; CGPA: 3.77/4.00 Fall 2017 { Fall 2019 Research Topic: ◦ Analysis of US census data and network measurement data to figure out whether everybody is accessing same quality of Internet at same price. Evaluating the fairness and variation of network performance metrics among all the counties of US using different data analysis techniques. ◦ Google Speech Recognition for figuring out which Google servers are converting voice into text and developing an architecture for a distributed voice recognition server to speed up the conversion and to ensure faster performance. Completed Coursework: Advanced Computational Biology, Research and Methodology in Engineering, Data Mining, Distributed System, Algorithm, Advanced Algorithm Topics, Networks, Computability, Advanced Networks University of Dhaka Dhaka, Bangladesh • Bachelor of Computer Science and Engineering; CGPA: 3.68/4.00 January 2012 { June. 2016 Thesis Topic: Internet Data Budget Allocation Policies for Diverse Smartphone Applications Experience Montana State University Bozeman, MT • Digital Technologies Developer (Non Tenure-Track Faculty) May 2019 - Present Responsibilities: Working as an active member of a service-oriented team that advances digital library initiatives via software development and data analysis. Assisting with development and maintenance of a diverse portfolio -
Feature Selection and Improving Classification
FEATURE SELECTION AND IMPROVING CLASSIFICATION PERFORMANCE FOR MALWARE DETECTION AThesis Presented to Department of Computer Science By Carlos Andres Cepeda Mora In Partial Fulfillment of Requirements for the Degree Master of Science, Computer Science KENNESAW STATE UNIVERSITY May, 2017 II FEATURE SELECTION AND IMPROVING CLASSIFICATION PERFORMANCE FOR MALWARE DETECTION Approved: _______________________________ Dr. Dan Chia-Tien Lo - Advisor _______________________________ Dr. Dan Chia-Tien Lo– Department Chair _______________________________ Dr. Jon Preston - Dean III In presenting this thesis as a partial fulfillment of the requirements for an advanced degree from Kennesaw State University, I agree that the university library shall make it available for inspection and circulation in accordance with its regulations governing materials of this type. I agree that permission to copy from, or to publish, this thesis may be granted by the professor under whose direction it was written, or, in his absence, by the dean of the appropriate school when such copying or publication is solely for scholarly purposes and does not involve potential financial gain. It is understood that any copying from or publication of, this thesis which involves potential financial gain will not be allowed without written permission. __________________________ Carlos Andres Cepeda Mora IV Unpublished thesis deposited in the Library of Kennesaw State University must be used only in accordance with the stipulations prescribed by the author in the preceding statement. The author of this thesis is: CARLOS ANDRES CEPEDA MORA 1876 HEDGE BROOKE WAY NW, ACWORTH – GA. 30101 The director of this thesis is: DAN CHIA-TIEN LO Users of this thesis not regularly enrolled as students at Kennesaw State University are required to attest acceptance of the preceding stipulations by signing below. -
D E Liv E R Ing on T H E D at a R E V Olu T Ion in S U B -S a Ha Ra N a Fr Ic a C
Delivering on the Data Revolution in Sub-Saharan Africa Center for Global Development and the African Population and Health Research Center c Center for Global Development. 2014. Some Rights Reserved. Creative Commons Attribution-NonCommercial 3.0 Center for Global Development 1800 Massachusetts Ave NW, Floor 3 Washington DC 20036 www.cgdev.org CGD is grateful to the Omidyar Network, the UK Department for International Development, and the Hewlett Foundation for support of this work. This research was also made possible through the generous core funding to APHRC by the William and Flora Hewlett Foundation and the Swedish International Development Agency. ISBN 978-1-933286-83-9 Editing, design, and production by Communications Development Incorporated, Washington, D.C. Cover design by Bittersweet Creative. Working Group Working Group Co-chairs Kutoati Adjewoda Koami, African Union Commission Amanda Glassman, Center for Global Development Catherine Kyobutungi, African Population and Health Alex Ezeh, African Population and Health Research Center Research Center Paul Roger Libete, Institut National de la Statistique of Cameroon Working Group Members Themba Munalula, COMESA Angela Arnott, UNECA Salami M.O. Muri, National Bureau of Statistics of Nigeria/ Ibrahima Ba, Institut National de la Statistique, Côte d’Ivoire Samuel Bolaji, National Bureau of Statistics of Nigeria Donatien Beguy, African Population and Health Research Philomena Nyarko, Ghana Statistical Service Center Justin Sandefur, Center for Global Development Misha V. Belkindas, -
The Open Data Era in Health and Social Care
THE OPEN DATA ERA IN HEALTH AND SOCIAL CARE A blueprint for the National Health Stefaan Verhulst Beth Simone Noveck Service (NHS England) to develop a Robyn Caplan research and learning programme for the Kristy Brown open data era in health and social care Claudia Paz The Open Data Era in Health and Social Care Table of Contents FOREWORD . 4 EXECUTIVE SUMMARY . 6 INTRODUCTION . 9 PART I: THE OPEN DATA ERA . 11 I.1. Health Data and the Open Data Revolution .......................................................12 I.2. The NHS and Open Data: Where We Stand .......................................................14 PART II: POTENTIAL AND LIMITATIONS OF OPEN DATA . 18 II.1. Value propositions for using Open Health Data ...................................................20 II.1.1. Accountability ............................................................................22 II.1.2. Choice ...................................................................................24 II.1.3. Efficiency .................................................................................27 II.1.4. Outcomes ................................................................................29 II.1.5. Customer Service and Patient satisfaction ...................................................31 II.1.6. Innovation and Economic Growth ...........................................................33 II.2. Potential Challenges and Barriers of Open Data ..................................................36 II.2.1. Cultural and Institutional Barriers ...........................................................36